Senior Product Delivery Associate - Data Platforms
for headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We need to decide which sections have real content.
From job description: There's a description paragraph at start: "Be at the heart...". That's about the role. So we can have About the role
with paragraphs.
Responsibilities: There's a "Job Responsibilities" section with bullet points. So we need Responsibilities
with - each bullet.
Qualifications: There's "Required Qualifications, Capabilities, And Skills". That's a mix of qualifications and skills. We could split into Qualifications and Skills sections if content distinct. But we have both required qualifications and skills listed. Could combine into one section "Qualifications" or separate. The instruction: Prefer a few substantive sections over many thin ones. So maybe combine required qualifications and skills into one
Qualifications
(or Skills). But we also have "Preferred Qualifications, Capabilities, And Skills". That's also qualifications/skills. Could combine required and preferred into Qualifications section.
We also have "About Us" and "About The Team". Those could be considered "About the role"? Not exactly. But we could include as part of About the role or maybe separate "About the company". However only allowed headings list includes About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. No "About Us" or "About The Team". So we must fold that info into existing sections, maybe About the role or maybe not include if not fitting. But we must preserve ALL substantive information; cannot drop info. So we need to incorporate About Us and About The Team somewhere. Could put them under About the role as additional paragraphs. That seems okay.
Benefits: The posting mentions "We offer a competitive total rewards package..." and lists benefits. So we have benefits content. So we need Benefits
with list.
Pay: The posting mentions base salary determined based on role, experience, skill set and location; also commission-based pay and/or discretionary incentive compensation. That's pay info. So we need Pay
with prose.
Schedule: No mention of schedule (e.g., full-time, remote). Not present, so we should NOT create Schedule section.
Requirements: There's "Required Qualifications, Capabilities, And Skills". That could be considered Requirements. But we already using Qualifications. The instruction: Use headings for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we have both Requirements and Qualifications as possible headings. We need to decide where to put content. The posting has "Required Qualifications, Capabilities, And Skills" and "Preferred Qualifications, Capabilities, And Skills". That's qualifications. There's also maybe "Required Qualifications" could be considered Requirements. But we also have skills listed within. To avoid thin sections, we could combine Requirements and Qualifications into one section? But we must use headings exactly as given if we include them. We could include both Requirements and Qualifications sections, but that might be thin if we split. However we have enough content for both: Required qualifications (years experience, etc.) and Preferred qualifications (knowledge of product dev lifecycle, AI, etc.). So we could put Required under Requirements heading, Preferred under Qualifications heading (or Skills). But we also have skills listed within required (SQL, Python, etc.) and preferred (agentic AI, Jira). So we could have Skills section for technical skills. But we need to avoid too many thin sections.
Let's think: The posting includes:
- Required Qualifications, Capabilities, And Skills: bullet list of items (3+ years experience, demonstrated performance, experience executing operational management, experience in product deployment processes, 3+ years product delivery/product ownership, educational/on-the-job technical experience, demonstrated experience owning/refining backlog, solid working knowledge of SQL, Python, other data engineering tools, familiarity with data modeling, proven ability to manage cross-team dependencies, flexibility, creativity, strong analytical/problem-solving skills, understanding of data platform technologies (Snowflake, AWS Data Lake, Info1), experience delivering cloud-based data platforms, relevant certification, experience partnering with data analyst communities).
- Preferred Qualifications, Capabilities, And Skills: bullet list (Developed knowledge of product development life cycle, familiarity with agentic AI and generative AI tools, familiarity with agile delivery tooling (Jira, JIRA Align) and product analytics).
Thus we could have:
Requirements
for Required Qualifications (maybe plus some skills). Qualifications
for Preferred Qualifications. Or we could have Skills
for technical skills (SQL, Python, etc.) and Qualifications
for experience/education. But we have many items.
Given instruction: Prefer a few substantive sections over many thin ones. So maybe combine Requirements and Qualifications into one section called "Requirements". But we have both required and preferred; we could label as "Requirements" and include both required and preferred bullet points, maybe differentiate with subheadings? But we cannot add extra headings beyond allowed list? We could still use to note "Required:" and "Preferred:" inside the section. That's okay.
Thus we could have:
Requirements
with - for each bullet (both required and preferred). But we need to preserve all info; we can just list them all.
But we also have Skills: SQL, Python, etc. Those are within required. So they'd be included.
Thus we could have only Requirements section, plus About the role, Responsibilities, Benefits, Pay. That's four sections.
Check if any content for "Skills" separate? Not needed.
Now Benefits: we have description of benefits. We'll make
- for each benefit listed.
Pay: we have description of base salary, commission-based pay, discretionary incentive compensation. We'll put in
.
Now About the role: we need to include the initial paragraphs and also About Us and About The Team. We'll combine them into About the role section.
Let's extract the substantive content.
Original text:
"Job Description Be at the heart of transforming visions into market-ready products, while you navigate through and solve complex challenges. In this dynamic environment, you ensure smooth product delivery and support change initiatives, marking a significant step in your career growth and innovation journey. Drive the end-to-end delivery of enterprise-class, scalable, and resilient data platforms as a Senior Product Delivery Associate on our Data Platforms team. We have an exciting opportunity for a Senior Product Delivery Associate to join our Data Platforms team, where you will be a data champion who partners with business analysts, engineering, and architecture teams to turn requirements into delivered outcomes across the full development lifecycle. As a Senior Product Delivery Associate in Data Platforms team, you are trusted with enabling the delivery of products in a stable and scalable way. Work with cross-function teams, build key relationships, and enable the product to continuously deliver value. You work closely with the Product Manager and engineering leads to deliver enterprise-class, scalable, and resilient data platforms, with a focus on user-consumption services that support batch, asynchronous, and near-real-time processing. You own the product backlog and delivery plan, coordinate cross-functional dependencies, and ensure features are delivered with quality, on schedule, and aligned to business value."
That's the role description.
Then "Job Responsibilities" list:
- Collaborates with the Product Delivery Manager to execute on key delivery tasks and identify ways to boost efficiencies
- Supports the completion of change management activities across functional partners and monitors adherence to the firm's risk, controls, compliance, and regulatory requirements
- Raises blockers and other impediments to the Product Delivery Manager to manage dependencies and ensure adequate resources
- Own and drive the product delivery lifecycle – from intake and backlog refinement through release – ensuring predictable, high-quality delivery of data platform capabilities.
- Partner with users and the analyst community to understand business data usage, identify improvement opportunities, and translate needs into a clearly prioritized, well-groomed backlog.
- Influence product strategy and priorities using technical expertise and data-driven insight, and champion intellectual curiosity in solving complex business problems.
- Define features and capabilities for future user-consumption services, balancing disparate business needs with strong problem-solving, negotiation, and client-engagement skills.
- Translate business needs into clear, valuable user stories and acceptance criteria, and adapt quickly to evolving guidance while protecting product objectives and delivery commitments.
- Serve as the liaison between product, engineering, and architecture teams – facilitating agile ceremonies, resolving blockers, and managing cross-team dependencies and delivery risks.
- Collaborate with engineering teams to build scalable and resilient data warehouses across cloud analytic environments, leveraging internal resources and platforms to deliver optimal solutions.
- Validate delivered features against business requirements through testing, and develop and maintain documentation that ensures data consistency, quality, and operational readiness.
- Track and communicate delivery metrics, status, and outcomes (for example, OKRs and KPIs) to stakeholders and leadership.
Then "Required Qualifications, Capabilities, And Skills" list:
- 3+ years of experience or equivalent expertise in product management or a relevant domain area
- Demonstrated performance in either product management or relevant domain area
- Experience executing operational management and change readiness activities
- Experience in product deployment processes
- 3+ years of experience in product delivery, product ownership, or a related technology delivery role, with a strong technology background and excellent written and verbal communication skills.
- Educational or on-the-job experience in a technical field (for example, Computer Science, Engineering, Data Analytics, or Data Engineering).
- Demonstrated experience owning and refining a product backlog and driving delivery through agile practices (Scrum, Kanban, or SAFe).
- Solid working knowledge of SQL, Python, and other data engineering tools, with familiarity in data modeling, dimensional models, and semantic layers.
- Proven ability to manage cross-team dependencies, delivery risks, and competing priorities in a fast-paced environment.
- Flexibility, creativity, and strong analytical and problem-solving skills.
- Understanding of data platform technologies, including Snowflake, AWS Data Lake, and Info1.
- Experience delivering cloud-based data platforms or user-consumption / data-as-a-service capabilities at enterprise scale.
- Relevant certification such as Certified Scrum Product Owner (CSPO), SAFe Product Owner/Product Manager (POPM), or Project Management Professional (PMP), or equivalent experience.
- Experience partnering with data analyst communities and translating analytical needs into platform capabilities.
Then "Preferred Qualifications, Capabilities, And Skills" list:
- Developed knowledge of the product development life cycle
- Familiarity with agentic AI and generative AI tools, with an interest in applying them to accelerate product delivery, automate workflows, and enhance data platform capabilities.
- Familiarity with agile delivery tooling (for example, Jira and JIRA Align) and product analytics.
Then "About Us" paragraph:
"Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and
Qualifications
(or Skills). But we also have "Preferred Qualifications, Capabilities, And Skills". That's also qualifications/skills. Could combine required and preferred into Qualifications section. We also have "About Us" and "About The Team". Those could be considered "About the role"? Not exactly. But we could include as part of About the role or maybe separate "About the company". However only allowed headings list includes About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. No "About Us" or "About The Team". So we must fold that info into existing sections, maybe About the role or maybe not include if not fitting. But we must preserve ALL substantive information; cannot drop info. So we need to incorporate About Us and About The Team somewhere. Could put them under About the role as additional paragraphs. That seems okay. Benefits: The posting mentions "We offer a competitive total rewards package..." and lists benefits. So we have benefits content. So we needBenefits
with list. Pay: The posting mentions base salary determined based on role, experience, skill set and location; also commission-based pay and/or discretionary incentive compensation. That's pay info. So we needPay
with prose. Schedule: No mention of schedule (e.g., full-time, remote). Not present, so we should NOT create Schedule section. Requirements: There's "Required Qualifications, Capabilities, And Skills". That could be considered Requirements. But we already using Qualifications. The instruction: Use headings for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we have both Requirements and Qualifications as possible headings. We need to decide where to put content. The posting has "Required Qualifications, Capabilities, And Skills" and "Preferred Qualifications, Capabilities, And Skills". That's qualifications. There's also maybe "Required Qualifications" could be considered Requirements. But we also have skills listed within. To avoid thin sections, we could combine Requirements and Qualifications into one section? But we must use headings exactly as given if we include them. We could include both Requirements and Qualifications sections, but that might be thin if we split. However we have enough content for both: Required qualifications (years experience, etc.) and Preferred qualifications (knowledge of product dev lifecycle, AI, etc.). So we could put Required under Requirements heading, Preferred under Qualifications heading (or Skills). But we also have skills listed within required (SQL, Python, etc.) and preferred (agentic AI, Jira). So we could have Skills section for technical skills. But we need to avoid too many thin sections. Let's think: The posting includes: - Required Qualifications, Capabilities, And Skills: bullet list of items (3+ years experience, demonstrated performance, experience executing operational management, experience in product deployment processes, 3+ years product delivery/product ownership, educational/on-the-job technical experience, demonstrated experience owning/refining backlog, solid working knowledge of SQL, Python, other data engineering tools, familiarity with data modeling, proven ability to manage cross-team dependencies, flexibility, creativity, strong analytical/problem-solving skills, understanding of data platform technologies (Snowflake, AWS Data Lake, Info1), experience delivering cloud-based data platforms, relevant certification, experience partnering with data analyst communities). - Preferred Qualifications, Capabilities, And Skills: bullet list (Developed knowledge of product development life cycle, familiarity with agentic AI and generative AI tools, familiarity with agile delivery tooling (Jira, JIRA Align) and product analytics). Thus we could have:Requirements
for Required Qualifications (maybe plus some skills).Qualifications
for Preferred Qualifications. Or we could haveSkills
for technical skills (SQL, Python, etc.) andQualifications
for experience/education. But we have many items. Given instruction: Prefer a few substantive sections over many thin ones. So maybe combine Requirements and Qualifications into one section called "Requirements". But we have both required and preferred; we could label as "Requirements" and include both required and preferred bullet points, maybe differentiate with subheadings? But we cannot add extra headings beyond allowed list? We could still useto note "Required:" and "Preferred:" inside the section. That's okay. Thus we could have:
Requirements
with- for each bullet (both required and preferred). But we need to preserve all info; we can just list them all.
But we also have Skills: SQL, Python, etc. Those are within required. So they'd be included.
Thus we could have only Requirements section, plus About the role, Responsibilities, Benefits, Pay. That's four sections.
Check if any content for "Skills" separate? Not needed.
Now Benefits: we have description of benefits. We'll make
- for each benefit listed.
Pay: we have description of base salary, commission-based pay, discretionary incentive compensation. We'll put in
. Now About the role: we need to include the initial paragraphs and also About Us and About The Team. We'll combine them into About the role section. Let's extract the substantive content. Original text: "Job Description Be at the heart of transforming visions into market-ready products, while you navigate through and solve complex challenges. In this dynamic environment, you ensure smooth product delivery and support change initiatives, marking a significant step in your career growth and innovation journey. Drive the end-to-end delivery of enterprise-class, scalable, and resilient data platforms as a Senior Product Delivery Associate on our Data Platforms team. We have an exciting opportunity for a Senior Product Delivery Associate to join our Data Platforms team, where you will be a data champion who partners with business analysts, engineering, and architecture teams to turn requirements into delivered outcomes across the full development lifecycle. As a Senior Product Delivery Associate in Data Platforms team, you are trusted with enabling the delivery of products in a stable and scalable way. Work with cross-function teams, build key relationships, and enable the product to continuously deliver value. You work closely with the Product Manager and engineering leads to deliver enterprise-class, scalable, and resilient data platforms, with a focus on user-consumption services that support batch, asynchronous, and near-real-time processing. You own the product backlog and delivery plan, coordinate cross-functional dependencies, and ensure features are delivered with quality, on schedule, and aligned to business value." That's the role description. Then "Job Responsibilities" list: - Collaborates with the Product Delivery Manager to execute on key delivery tasks and identify ways to boost efficiencies - Supports the completion of change management activities across functional partners and monitors adherence to the firm's risk, controls, compliance, and regulatory requirements - Raises blockers and other impediments to the Product Delivery Manager to manage dependencies and ensure adequate resources - Own and drive the product delivery lifecycle – from intake and backlog refinement through release – ensuring predictable, high-quality delivery of data platform capabilities. - Partner with users and the analyst community to understand business data usage, identify improvement opportunities, and translate needs into a clearly prioritized, well-groomed backlog. - Influence product strategy and priorities using technical expertise and data-driven insight, and champion intellectual curiosity in solving complex business problems. - Define features and capabilities for future user-consumption services, balancing disparate business needs with strong problem-solving, negotiation, and client-engagement skills. - Translate business needs into clear, valuable user stories and acceptance criteria, and adapt quickly to evolving guidance while protecting product objectives and delivery commitments. - Serve as the liaison between product, engineering, and architecture teams – facilitating agile ceremonies, resolving blockers, and managing cross-team dependencies and delivery risks. - Collaborate with engineering teams to build scalable and resilient data warehouses across cloud analytic environments, leveraging internal resources and platforms to deliver optimal solutions. - Validate delivered features against business requirements through testing, and develop and maintain documentation that ensures data consistency, quality, and operational readiness. - Track and communicate delivery metrics, status, and outcomes (for example, OKRs and KPIs) to stakeholders and leadership. Then "Required Qualifications, Capabilities, And Skills" list: - 3+ years of experience or equivalent expertise in product management or a relevant domain area - Demonstrated performance in either product management or relevant domain area - Experience executing operational management and change readiness activities - Experience in product deployment processes - 3+ years of experience in product delivery, product ownership, or a related technology delivery role, with a strong technology background and excellent written and verbal communication skills. - Educational or on-the-job experience in a technical field (for example, Computer Science, Engineering, Data Analytics, or Data Engineering). - Demonstrated experience owning and refining a product backlog and driving delivery through agile practices (Scrum, Kanban, or SAFe). - Solid working knowledge of SQL, Python, and other data engineering tools, with familiarity in data modeling, dimensional models, and semantic layers. - Proven ability to manage cross-team dependencies, delivery risks, and competing priorities in a fast-paced environment. - Flexibility, creativity, and strong analytical and problem-solving skills. - Understanding of data platform technologies, including Snowflake, AWS Data Lake, and Info1. - Experience delivering cloud-based data platforms or user-consumption / data-as-a-service capabilities at enterprise scale. - Relevant certification such as Certified Scrum Product Owner (CSPO), SAFe Product Owner/Product Manager (POPM), or Project Management Professional (PMP), or equivalent experience. - Experience partnering with data analyst communities and translating analytical needs into platform capabilities. Then "Preferred Qualifications, Capabilities, And Skills" list: - Developed knowledge of the product development life cycle - Familiarity with agentic AI and generative AI tools, with an interest in applying them to accelerate product delivery, automate workflows, and enhance data platform capabilities. - Familiarity with agile delivery tooling (for example, Jira and JIRA Align) and product analytics. Then "About Us" paragraph: "Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and
- for each benefit listed.
Pay: we have description of base salary, commission-based pay, discretionary incentive compensation. We'll put in