Product Manager- Data Domain (P4410)
for section headings: e.g., About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. But we can adapt headings to match content. The instruction: use for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we should use those exact headings? It says use for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). Probably we should use those headings where applicable. But we need to include sections only when posting has real specific content. We have content for Overview (maybe About the role), Summary, Responsibilities, Accountabilities (maybe part of Responsibilities?), Technical Collaboration, Research & Competitive Intelligence, Communication, Partners, Qualifications, Skills, And Experience, Pay Transparency And Benefits, Base Pay Range.
We need to avoid repeating job title as heading. No Job ID.
We must not create Pay/Schedule/Benefits sections unless posting actually states them. It does have Pay Transparency And Benefits and Base Pay Range, so we can include Pay and Benefits sections. Schedule: posting mentions "84.51° follows a 5‑day in‑office work schedule". That's schedule info. So we can include Schedule section.
We need to use - for any list of duties/requirements/benefits. So for responsibilities list, we should use
- . For qualifications list also
- . For benefits list also
- . For other prose use
.
We must preserve all substantive information, not invent or summarize away detail. Remove boilerplate etc.
We need to output only HTML fragment, no /, no markdown fences.
Let's structure:
About the role
maybe combine Overview and Summary? Could have two paragraphs.
But we need to avoid filler. We'll include Overview as paragraph, then Summary as paragraph.
Then Responsibilities
with - items from Responsibilities bullet list.
Then maybe
Accountabilities
as separate? Could be part of responsibilities but we can keep separate if content distinct. The instruction says prefer few substantive sections over many thin ones. Might combine Accountabilities into Responsibilities? But they are separate headings in posting. However we can decide to keep them as separate sections if they have substantive content. The instruction: "Prefer a few substantive sections over many thin ones." So we might merge Accountabilities into Responsibilities to avoid thin sections. But we need to preserve all info; merging is okay as long as we keep the content. We'll put them under Responsibilities.
Similarly Technical Collaboration, Research & Competitive Intelligence, Communication, Partners could be merged into a "Key Activities" section? But maybe better to keep them as separate subheadings? The instruction says use headings like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. It doesn't forbid other headings, but suggests those as examples. It says use for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). It doesn't say we cannot use other headings, but likely they expect those headings. However we can still use other headings if needed, but to be safe, we can map content to those headings.
We have: Overview/Summary -> About the role.
Responsibilities/Accountabilities/Technical Collaboration/Research & Competitive Intelligence/Communication/Partners -> Responsibilities (maybe also Requirements? but we have qualifications separate).
Qualifications, Skills, And Experience -> Qualifications and Skills (maybe combine).
Pay Transparency And Benefits and Base Pay Range -> Pay and Benefits.
Schedule -> Schedule.
Thus we will have sections: About the role, Responsibilities, Qualifications, Skills, Benefits, Pay, Schedule.
But we need to separate Qualifications and Skills? The instruction lists Qualifications, Skills as separate possible headings. We could have both. But we can combine if we want fewer sections. However we have distinct content: qualifications list includes experience, skills, etc. Could split into Qualifications (0-2 years experience, etc.) and Skills (strategic thinking, visual communication, etc.). Might be better to have both.
Thus sections: About the role, Responsibilities, Qualifications, Skills, Benefits, Pay, Schedule.
Now we need to extract content.
About the role: combine Overview and Summary paragraphs.
Overview: "84.51° is a retail data science, insights and media company. We help The Kroger Co., consumer packaged goods companies, agencies, publishers and affiliates create more personalized and valuable experiences for shoppers across the path to purchase. Powered by cutting-edge science, we utilize first-party retail data from more than 62 million U.S. households sourced through the Kroger Plus loyalty card program to fuel a more customer-centric journey using 84.51° Insights, 84.51° Loyalty Marketing and our retail media advertising solution, Kroger Precision Marketing. 84.51° follows a 5‑day in‑office work schedule to support collaboration, alignment, and team connection. Join us at 84.51°!"
Summary: "You are an early-career product professional who contributes to the business outcomes of your product(s). You help teams focus on outcomes over output by understanding customer needs, supporting clear priorities, and enabling trusted, reusable, and discoverable product capabilities. You contribute to the product vision and serve as a connector between business, clients, stakeholders, and product teams. In this role, you will help build and evolve data products that establish the foundation for scalable analytics, self-service data use, and future AI-enabled capabilities. Develops a clear view of how the product maps to outcomes: Revenue, established KPIs, learnings from customers, adoption, usability, and value to the organization (Kroger & 84.51°)."
We'll put both as
under About the role.
Responsibilities: need to list all bullet points from Responsibilities, Accountabilities, Technical Collaboration, Research & Competitive Intelligence, Communication, Partners.
Let's extract them:
Responsibilities bullet list (as in posting):
- Contributes to product portfolio strategy that balances business need, customer value, opportunity, feasibility, and achievability.
- Uses analytics, research, customer feedback, and product data to support product team decisions.
- Reframes business needs into product solutions and reusable data capabilities.
- Contributes to a shared understanding of product vision and strategy across business, clients, stakeholders, and product teams.
- Drives business value for the team by helping prioritize and order product backlog items based on the product roadmap.
- Supports effective management of the team's product backlog and helps ensure it is transparent, visible, and clearly communicated.
- Translates business needs and requirements into effective features and stories that are ready for development.
- Outlines clear acceptance criteria to communicate the definition of done, including relevant data quality and usability expectations.
- Builds and manages stakeholder relationships to support alignment and drive change.
- Develops working knowledge of quantitative and qualitative product data to inform product decisions and the roadmap.
- Develops a good understanding of the business domain, stakeholders, data, business processes, and constraints in which the product(s) operate.
- Develops an understanding of customer and user problems, how they work, and the platforms, technology, and data they use.
- Understands and communicates organizational objectives, strategies, and solution needs to help the team deliver results.
- Identifies, manages, and communicates dependencies and risks, including risks related to data quality, ownership, access, and usage.
Accountabilities bullet list:
- Contributes to understanding how the product creates value for customers and the organization.
- Contributes to product enhancements and the high-level roadmap.
- Applies business value prioritization criteria and supports continuous refinement of the prioritization approach.
- Aggregates business needs into platform and data-product capabilities.
- Defines, tracks, and uses success metrics, including measures of adoption, usability, quality, and business value.
Technical Collaboration bullet list:
- Demonstrates product thinking by abstracting feature requests into classes of problems.
- Develops enough technical understanding to recognize when technical choices may conflict with the product vision or customer outcomes.
- Supports the creation of extensible product and data capabilities that can serve a variety of current and future needs.
- Partners with Engineering and Architecture leads so product and technology decisions are made collaboratively.
- Builds foundational knowledge of data products, metadata, data quality, lineage, discoverability, and governance, and understands how trusted, well-documented data enables analytics and AI capabilities.
Research & Competitive Intelligence bullet list:
- Continuously discovers what customers and users need, including how they find, understand, access, and use data.
- Engages with clients and users to build knowledge of how the product is used, where data creates friction, and what emerging needs should inform the roadmap.
Communication bullet list:
- Communicates the value proposition and helps stakeholders and the team connect product work to customer and business outcomes.
- Nurtures communication with stakeholders to help keep product strategy aligned with business priorities.
- Ensures product and value-stream messaging is communicated clearly to the product team.
- Keeps stakeholders informed of customer learnings, product data, and risks that may affect product direction.
- Articulates how the product supports business strategy and creates value for internal and external stakeholders.
Partners bullet list:
- Product managers, to maintain alignment with business and customer goals and expected outcomes.
- Engineering and Architecture, so product and technology decisions are made collaboratively and support scalable, trusted data capabilities.
- The ecosystem in which the product(s) exists, including business partners, users, data owners, data stewards, analysts, subject matter experts, stakeholders, and executives across Kroger and 84.51°.
- Experience Design (XD), to share, understand, and collaborate on research learnings and product usability.
- Clients Business stakeholders and function leads and, in turn, their clients and end users, including consumers of data, analytics, and AI-enabled capabilities.
We need to put all these as
- under a single
under Responsibilities section. That will be a long list but okay.
Qualifications: from "Qualifications, Skills, And Experience" section. It includes a list of items. Let's extract:
- 0 - 2 years of relevant experience, including internships, academic projects, or equivalent experience.
- Developing strategic and critical thinking skills.
- Visual communication and storytelling.
- Ability to work through ambiguity and changing priorities.
- Creative problem-solving and curiosity.
- Strong interpersonal and collaboration skills.
- Emerging leadership skills and the ability to motivate others through shared purpose.
- Developing business acumen and an interest in connecting product work to measurable outcomes.
- Understanding of customer value propositions and basic product positioning.
- Familiarity with customer research methods and a willingness to learn through direct user engagement.
- Familiarity with data and analysis, including basic concepts such as data quality, metadata, documentation, lineage, ownership, and discoverability.
- Exposure to developing or supporting software, platform, analytics, or data products in an agile environment with cross-functional teams.
- Exposure to product discovery, hypothesis-driven experimentation, iterative customer research, or academic and project-based equivalents, with an ability to connect work to business outcomes and learning goals.
- Ability to support stakeholder alignment on business vision and priorities and communicate context to delivery teams.
- Ability to build knowledge of and empathy for customer and user problem spaces, and to support research goals that align with business objectives.
We need to split into Qualifications and Skills. Qualifications likely refer to experience, education, etc. Skills refer to abilities. But we can just put all under Qualifications and Skills sections as appropriate.
Maybe Qualifications: 0-2 years of relevant experience, etc. Skills: the rest.
Let's decide
for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). Probably we should use those headings where applicable. But we need to include sections only when posting has real specific content. We have content for Overview (maybe About the role), Summary, Responsibilities, Accountabilities (maybe part of Responsibilities?), Technical Collaboration, Research & Competitive Intelligence, Communication, Partners, Qualifications, Skills, And Experience, Pay Transparency And Benefits, Base Pay Range.
We need to avoid repeating job title as heading. No Job ID.
We must not create Pay/Schedule/Benefits sections unless posting actually states them. It does have Pay Transparency And Benefits and Base Pay Range, so we can include Pay and Benefits sections. Schedule: posting mentions "84.51° follows a 5‑day in‑office work schedule". That's schedule info. So we can include Schedule section.
We need to use - for any list of duties/requirements/benefits. So for responsibilities list, we should use
- . For qualifications list also
- . For benefits list also
- . For other prose use
.
We must preserve all substantive information, not invent or summarize away detail. Remove boilerplate etc.
We need to output only HTML fragment, no /, no markdown fences.
Let's structure:
About the role
maybe combine Overview and Summary? Could have two paragraphs.
But we need to avoid filler. We'll include Overview as paragraph, then Summary as paragraph.
Then Responsibilities
with - items from Responsibilities bullet list.
Then maybe
Accountabilities
as separate? Could be part of responsibilities but we can keep separate if content distinct. The instruction says prefer few substantive sections over many thin ones. Might combine Accountabilities into Responsibilities? But they are separate headings in posting. However we can decide to keep them as separate sections if they have substantive content. The instruction: "Prefer a few substantive sections over many thin ones." So we might merge Accountabilities into Responsibilities to avoid thin sections. But we need to preserve all info; merging is okay as long as we keep the content. We'll put them under Responsibilities.
Similarly Technical Collaboration, Research & Competitive Intelligence, Communication, Partners could be merged into a "Key Activities" section? But maybe better to keep them as separate subheadings? The instruction says use headings like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. It doesn't forbid other headings, but suggests those as examples. It says use for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). It doesn't say we cannot use other headings, but likely they expect those headings. However we can still use other headings if needed, but to be safe, we can map content to those headings.
We have: Overview/Summary -> About the role.
Responsibilities/Accountabilities/Technical Collaboration/Research & Competitive Intelligence/Communication/Partners -> Responsibilities (maybe also Requirements? but we have qualifications separate).
Qualifications, Skills, And Experience -> Qualifications and Skills (maybe combine).
Pay Transparency And Benefits and Base Pay Range -> Pay and Benefits.
Schedule -> Schedule.
Thus we will have sections: About the role, Responsibilities, Qualifications, Skills, Benefits, Pay, Schedule.
But we need to separate Qualifications and Skills? The instruction lists Qualifications, Skills as separate possible headings. We could have both. But we can combine if we want fewer sections. However we have distinct content: qualifications list includes experience, skills, etc. Could split into Qualifications (0-2 years experience, etc.) and Skills (strategic thinking, visual communication, etc.). Might be better to have both.
Thus sections: About the role, Responsibilities, Qualifications, Skills, Benefits, Pay, Schedule.
Now we need to extract content.
About the role: combine Overview and Summary paragraphs.
Overview: "84.51° is a retail data science, insights and media company. We help The Kroger Co., consumer packaged goods companies, agencies, publishers and affiliates create more personalized and valuable experiences for shoppers across the path to purchase. Powered by cutting-edge science, we utilize first-party retail data from more than 62 million U.S. households sourced through the Kroger Plus loyalty card program to fuel a more customer-centric journey using 84.51° Insights, 84.51° Loyalty Marketing and our retail media advertising solution, Kroger Precision Marketing. 84.51° follows a 5‑day in‑office work schedule to support collaboration, alignment, and team connection. Join us at 84.51°!"
Summary: "You are an early-career product professional who contributes to the business outcomes of your product(s). You help teams focus on outcomes over output by understanding customer needs, supporting clear priorities, and enabling trusted, reusable, and discoverable product capabilities. You contribute to the product vision and serve as a connector between business, clients, stakeholders, and product teams. In this role, you will help build and evolve data products that establish the foundation for scalable analytics, self-service data use, and future AI-enabled capabilities. Develops a clear view of how the product maps to outcomes: Revenue, established KPIs, learnings from customers, adoption, usability, and value to the organization (Kroger & 84.51°)."
We'll put both as
under About the role.
Responsibilities: need to list all bullet points from Responsibilities, Accountabilities, Technical Collaboration, Research & Competitive Intelligence, Communication, Partners.
Let's extract them:
Responsibilities bullet list (as in posting):
- Contributes to product portfolio strategy that balances business need, customer value, opportunity, feasibility, and achievability.
- Uses analytics, research, customer feedback, and product data to support product team decisions.
- Reframes business needs into product solutions and reusable data capabilities.
- Contributes to a shared understanding of product vision and strategy across business, clients, stakeholders, and product teams.
- Drives business value for the team by helping prioritize and order product backlog items based on the product roadmap.
- Supports effective management of the team's product backlog and helps ensure it is transparent, visible, and clearly communicated.
- Translates business needs and requirements into effective features and stories that are ready for development.
- Outlines clear acceptance criteria to communicate the definition of done, including relevant data quality and usability expectations.
- Builds and manages stakeholder relationships to support alignment and drive change.
- Develops working knowledge of quantitative and qualitative product data to inform product decisions and the roadmap.
- Develops a good understanding of the business domain, stakeholders, data, business processes, and constraints in which the product(s) operate.
- Develops an understanding of customer and user problems, how they work, and the platforms, technology, and data they use.
- Understands and communicates organizational objectives, strategies, and solution needs to help the team deliver results.
- Identifies, manages, and communicates dependencies and risks, including risks related to data quality, ownership, access, and usage.
Accountabilities bullet list:
- Contributes to understanding how the product creates value for customers and the organization.
- Contributes to product enhancements and the high-level roadmap.
- Applies business value prioritization criteria and supports continuous refinement of the prioritization approach.
- Aggregates business needs into platform and data-product capabilities.
- Defines, tracks, and uses success metrics, including measures of adoption, usability, quality, and business value.
Technical Collaboration bullet list:
- Demonstrates product thinking by abstracting feature requests into classes of problems.
- Develops enough technical understanding to recognize when technical choices may conflict with the product vision or customer outcomes.
- Supports the creation of extensible product and data capabilities that can serve a variety of current and future needs.
- Partners with Engineering and Architecture leads so product and technology decisions are made collaboratively.
- Builds foundational knowledge of data products, metadata, data quality, lineage, discoverability, and governance, and understands how trusted, well-documented data enables analytics and AI capabilities.
Research & Competitive Intelligence bullet list:
- Continuously discovers what customers and users need, including how they find, understand, access, and use data.
- Engages with clients and users to build knowledge of how the product is used, where data creates friction, and what emerging needs should inform the roadmap.
Communication bullet list:
- Communicates the value proposition and helps stakeholders and the team connect product work to customer and business outcomes.
- Nurtures communication with stakeholders to help keep product strategy aligned with business priorities.
- Ensures product and value-stream messaging is communicated clearly to the product team.
- Keeps stakeholders informed of customer learnings, product data, and risks that may affect product direction.
- Articulates how the product supports business strategy and creates value for internal and external stakeholders.
Partners bullet list:
- Product managers, to maintain alignment with business and customer goals and expected outcomes.
- Engineering and Architecture, so product and technology decisions are made collaboratively and support scalable, trusted data capabilities.
- The ecosystem in which the product(s) exists, including business partners, users, data owners, data stewards, analysts, subject matter experts, stakeholders, and executives across Kroger and 84.51°.
- Experience Design (XD), to share, understand, and collaborate on research learnings and product usability.
- Clients Business stakeholders and function leads and, in turn, their clients and end users, including consumers of data, analytics, and AI-enabled capabilities.
We need to put all these as
- under a single
under Responsibilities section. That will be a long list but okay.
Qualifications: from "Qualifications, Skills, And Experience" section. It includes a list of items. Let's extract:
- 0 - 2 years of relevant experience, including internships, academic projects, or equivalent experience.
- Developing strategic and critical thinking skills.
- Visual communication and storytelling.
- Ability to work through ambiguity and changing priorities.
- Creative problem-solving and curiosity.
- Strong interpersonal and collaboration skills.
- Emerging leadership skills and the ability to motivate others through shared purpose.
- Developing business acumen and an interest in connecting product work to measurable outcomes.
- Understanding of customer value propositions and basic product positioning.
- Familiarity with customer research methods and a willingness to learn through direct user engagement.
- Familiarity with data and analysis, including basic concepts such as data quality, metadata, documentation, lineage, ownership, and discoverability.
- Exposure to developing or supporting software, platform, analytics, or data products in an agile environment with cross-functional teams.
- Exposure to product discovery, hypothesis-driven experimentation, iterative customer research, or academic and project-based equivalents, with an ability to connect work to business outcomes and learning goals.
- Ability to support stakeholder alignment on business vision and priorities and communicate context to delivery teams.
- Ability to build knowledge of and empathy for customer and user problem spaces, and to support research goals that align with business objectives.
We need to split into Qualifications and Skills. Qualifications likely refer to experience, education, etc. Skills refer to abilities. But we can just put all under Qualifications and Skills sections as appropriate.
Maybe Qualifications: 0-2 years of relevant experience, etc. Skills: the rest.
Let's decide
- . For qualifications list also
- . For benefits list also
- . For other prose use
. We must preserve all substantive information, not invent or summarize away detail. Remove boilerplate etc. We need to output only HTML fragment, no /, no markdown fences. Let's structure:
About the role
maybe combine Overview and Summary? Could have two paragraphs. But we need to avoid filler. We'll include Overview as paragraph, then Summary as paragraph. ThenResponsibilities
with- items from Responsibilities bullet list.
Then maybe
Accountabilities
as separate? Could be part of responsibilities but we can keep separate if content distinct. The instruction says prefer few substantive sections over many thin ones. Might combine Accountabilities into Responsibilities? But they are separate headings in posting. However we can decide to keep them as separate sections if they have substantive content. The instruction: "Prefer a few substantive sections over many thin ones." So we might merge Accountabilities into Responsibilities to avoid thin sections. But we need to preserve all info; merging is okay as long as we keep the content. We'll put them under Responsibilities. Similarly Technical Collaboration, Research & Competitive Intelligence, Communication, Partners could be merged into a "Key Activities" section? But maybe better to keep them as separate subheadings? The instruction says use headings like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. It doesn't forbid other headings, but suggests those as examples. It says usefor section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). It doesn't say we cannot use other headings, but likely they expect those headings. However we can still use other headings if needed, but to be safe, we can map content to those headings. We have: Overview/Summary -> About the role. Responsibilities/Accountabilities/Technical Collaboration/Research & Competitive Intelligence/Communication/Partners -> Responsibilities (maybe also Requirements? but we have qualifications separate). Qualifications, Skills, And Experience -> Qualifications and Skills (maybe combine). Pay Transparency And Benefits and Base Pay Range -> Pay and Benefits. Schedule -> Schedule. Thus we will have sections: About the role, Responsibilities, Qualifications, Skills, Benefits, Pay, Schedule. But we need to separate Qualifications and Skills? The instruction lists Qualifications, Skills as separate possible headings. We could have both. But we can combine if we want fewer sections. However we have distinct content: qualifications list includes experience, skills, etc. Could split into Qualifications (0-2 years experience, etc.) and Skills (strategic thinking, visual communication, etc.). Might be better to have both. Thus sections: About the role, Responsibilities, Qualifications, Skills, Benefits, Pay, Schedule. Now we need to extract content. About the role: combine Overview and Summary paragraphs. Overview: "84.51° is a retail data science, insights and media company. We help The Kroger Co., consumer packaged goods companies, agencies, publishers and affiliates create more personalized and valuable experiences for shoppers across the path to purchase. Powered by cutting-edge science, we utilize first-party retail data from more than 62 million U.S. households sourced through the Kroger Plus loyalty card program to fuel a more customer-centric journey using 84.51° Insights, 84.51° Loyalty Marketing and our retail media advertising solution, Kroger Precision Marketing. 84.51° follows a 5‑day in‑office work schedule to support collaboration, alignment, and team connection. Join us at 84.51°!" Summary: "You are an early-career product professional who contributes to the business outcomes of your product(s). You help teams focus on outcomes over output by understanding customer needs, supporting clear priorities, and enabling trusted, reusable, and discoverable product capabilities. You contribute to the product vision and serve as a connector between business, clients, stakeholders, and product teams. In this role, you will help build and evolve data products that establish the foundation for scalable analytics, self-service data use, and future AI-enabled capabilities. Develops a clear view of how the product maps to outcomes: Revenue, established KPIs, learnings from customers, adoption, usability, and value to the organization (Kroger & 84.51°)." We'll put both as
under About the role. Responsibilities: need to list all bullet points from Responsibilities, Accountabilities, Technical Collaboration, Research & Competitive Intelligence, Communication, Partners. Let's extract them: Responsibilities bullet list (as in posting): - Contributes to product portfolio strategy that balances business need, customer value, opportunity, feasibility, and achievability. - Uses analytics, research, customer feedback, and product data to support product team decisions. - Reframes business needs into product solutions and reusable data capabilities. - Contributes to a shared understanding of product vision and strategy across business, clients, stakeholders, and product teams. - Drives business value for the team by helping prioritize and order product backlog items based on the product roadmap. - Supports effective management of the team's product backlog and helps ensure it is transparent, visible, and clearly communicated. - Translates business needs and requirements into effective features and stories that are ready for development. - Outlines clear acceptance criteria to communicate the definition of done, including relevant data quality and usability expectations. - Builds and manages stakeholder relationships to support alignment and drive change. - Develops working knowledge of quantitative and qualitative product data to inform product decisions and the roadmap. - Develops a good understanding of the business domain, stakeholders, data, business processes, and constraints in which the product(s) operate. - Develops an understanding of customer and user problems, how they work, and the platforms, technology, and data they use. - Understands and communicates organizational objectives, strategies, and solution needs to help the team deliver results. - Identifies, manages, and communicates dependencies and risks, including risks related to data quality, ownership, access, and usage. Accountabilities bullet list: - Contributes to understanding how the product creates value for customers and the organization. - Contributes to product enhancements and the high-level roadmap. - Applies business value prioritization criteria and supports continuous refinement of the prioritization approach. - Aggregates business needs into platform and data-product capabilities. - Defines, tracks, and uses success metrics, including measures of adoption, usability, quality, and business value. Technical Collaboration bullet list: - Demonstrates product thinking by abstracting feature requests into classes of problems. - Develops enough technical understanding to recognize when technical choices may conflict with the product vision or customer outcomes. - Supports the creation of extensible product and data capabilities that can serve a variety of current and future needs. - Partners with Engineering and Architecture leads so product and technology decisions are made collaboratively. - Builds foundational knowledge of data products, metadata, data quality, lineage, discoverability, and governance, and understands how trusted, well-documented data enables analytics and AI capabilities. Research & Competitive Intelligence bullet list: - Continuously discovers what customers and users need, including how they find, understand, access, and use data. - Engages with clients and users to build knowledge of how the product is used, where data creates friction, and what emerging needs should inform the roadmap. Communication bullet list: - Communicates the value proposition and helps stakeholders and the team connect product work to customer and business outcomes. - Nurtures communication with stakeholders to help keep product strategy aligned with business priorities. - Ensures product and value-stream messaging is communicated clearly to the product team. - Keeps stakeholders informed of customer learnings, product data, and risks that may affect product direction. - Articulates how the product supports business strategy and creates value for internal and external stakeholders. Partners bullet list: - Product managers, to maintain alignment with business and customer goals and expected outcomes. - Engineering and Architecture, so product and technology decisions are made collaboratively and support scalable, trusted data capabilities. - The ecosystem in which the product(s) exists, including business partners, users, data owners, data stewards, analysts, subject matter experts, stakeholders, and executives across Kroger and 84.51°. - Experience Design (XD), to share, understand, and collaborate on research learnings and product usability. - Clients Business stakeholders and function leads and, in turn, their clients and end users, including consumers of data, analytics, and AI-enabled capabilities. We need to put all these as
- under a single
- under Responsibilities section. That will be a long list but okay.
Qualifications: from "Qualifications, Skills, And Experience" section. It includes a list of items. Let's extract:
- 0 - 2 years of relevant experience, including internships, academic projects, or equivalent experience.
- Developing strategic and critical thinking skills.
- Visual communication and storytelling.
- Ability to work through ambiguity and changing priorities.
- Creative problem-solving and curiosity.
- Strong interpersonal and collaboration skills.
- Emerging leadership skills and the ability to motivate others through shared purpose.
- Developing business acumen and an interest in connecting product work to measurable outcomes.
- Understanding of customer value propositions and basic product positioning.
- Familiarity with customer research methods and a willingness to learn through direct user engagement.
- Familiarity with data and analysis, including basic concepts such as data quality, metadata, documentation, lineage, ownership, and discoverability.
- Exposure to developing or supporting software, platform, analytics, or data products in an agile environment with cross-functional teams.
- Exposure to product discovery, hypothesis-driven experimentation, iterative customer research, or academic and project-based equivalents, with an ability to connect work to business outcomes and learning goals.
- Ability to support stakeholder alignment on business vision and priorities and communicate context to delivery teams.
- Ability to build knowledge of and empathy for customer and user problem spaces, and to support research goals that align with business objectives.
We need to split into Qualifications and Skills. Qualifications likely refer to experience, education, etc. Skills refer to abilities. But we can just put all under Qualifications and Skills sections as appropriate.
Maybe Qualifications: 0-2 years of relevant experience, etc. Skills: the rest.
Let's decide
- items from Responsibilities bullet list.
Then maybe
- . For other prose use
- . For benefits list also