Senior Program Manager, Whole Foods Market Promotions Analytics

We need to output HTML fragment with sections for headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. No job title heading. No Job ID. Remove boilerplate like EEO, application instructions, etc. Must preserve all substantive info. We need to parse the description. First part: "Description Whole Foods Market is seeking a sharp, driven, and analytically minded Sr Program Manager to join our Promotions Analytics team..." This is about the role. So we can have

About the role

with paragraphs summarizing. Then "Key job responsibilities" list: Program Management, Collaboration & Relationships, Communication, Analytics and Reporting, Strategic Leadership. Each with bullet points. We'll put under

Responsibilities

with

• each bullet. Then "Basic Qualifications" and "Preferred Qualifications". Those are qualifications. We can combine into

  Qualifications

  with maybe sub-sections? But spec says use headings for sections; we can have one Qualifications section containing both basic and preferred as lists. Or separate Requirements? The spec includes Requirements heading. Could use Requirements for basic qualifications, Qualifications for preferred? But they said use headings like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. So we need to map. We have basic qualifications: list items. Preferred qualifications: list items. Could put basic under Requirements, preferred under Qualifications. Or combine both under Qualifications. But we have both headings available; we can use Requirements for basic qualifications, Qualifications for preferred qualifications. Also Skills: we have skills like SQL, Python, R, etc. Could extract from qualifications. But we might not need separate Skills if content overlaps. However spec says prefer few substantive sections over many thin ones. So maybe combine basic and preferred into Qualifications, and skip Requirements and Skills. But we need to include sections only when posting has real specific content. We have content for About the role, Responsibilities, Qualifications (basic+preferred), Benefits, Pay. Also maybe Schedule? Not mentioned. So we skip Schedule. We have Pay: salary range given: "The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location." Then later: "USA, TX, AUSTIN - 115,600.00 - 160,000.00 USD annually USA, WA, Seattle - 115,600.00 - 160,000.00 USD annually". So we have pay info. So include Pay section. Benefits: described: "Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits." So include Benefits. We should not include application instructions, EEO, etc. Now craft HTML. We need to preserve all substantive info; not invent or summarize away detail. Must keep details like specific responsibilities bullet points. Must not lose any. Let's extract About the role paragraph: The initial description up to "Key job responsibilities". We'll capture that as prose. We'll need to split into paragraphs maybe. About the role content: "Whole Foods Market is seeking a sharp, driven, and analytically minded Sr Program Manager to join our Promotions Analytics team. In this role, you will be at the forefront of understanding promotional performance and customer engagement, translating campaign data into strategic insights that directly shape our merchandising initiatives. This is a high-visibility role with real impact from day one. The right candidate should have a strong foundation in retail merchandising and promotional strategy, possess the ability to dive deep into complex campaign performance metrics, understand the business context behind the data, and continuously strive to find deeper insights. They should be ready to step into a role guiding and developing a small analytics team. The 3 other members of the Promotions Analytics team will look to the Sr Program Manager to interpret leadership's intent, inform priorities, and provide coaching & development. You will design and execute promotional analytics strategies to capture high-quality insights on retail promotions effectiveness and resulting customer behavior. You will conduct or manage deep-dive analyses on promotional performance, customer segmentation, and engagement patterns, surfacing the "so what" behind the data. Working closely with Merchandising and Marketing leaders, you will develop strategy, launch pilots, and deliver clear, actionable findings. Over time, you will help the team build repeatable, scalable analytical frameworks that improve the team's speed and depth. You will communicate results clearly to senior business leaders, translating complex data into concise narratives, and contribute as a key voice for the 3 other members of the Promotions Analytics team. We are looking for a candidate who brings a strong foundation in retail merchandising and promotional strategy, with the ability to contextualize business performance data within broader market dynamics. They have a proven ability to work through complex performance metrics and extract meaningful, business-relevant insights. They are comfortable operating at both the detail level and the strategic level, knowing when each is needed. They consistently deliver timely, accurate analyses, build partnerships across business teams, and drive change through insight. They can distill complex findings into concise narratives for a range of audiences. Promotions analytics is a strategic priority at Whole Foods Market. You'll have the opportunity to shape how we understand and optimize our promotional strategies, with the resources, data, and leadership support to make a real difference." That's a lot; we can keep as paragraphs. Now Responsibilities: list each heading with bullet points. From "Key job responsibilities" we have: Program Management: - Manage priorities and project deliverable timelines for the Promotions Analytics team. - Identify opportunities for the team to pursue supporting organizational goals. - Own end-to-end delivery of promotional analytics initiatives from strategy through execution. Collaboration & Relationships: - Maintain close working relationships with Merchandising, Marketing, and cross-functional stakeholder leaders to collaborate on the development of promotional strategy and reporting needs. - Work cross-functionally with product teams to design reporting capabilities using in-house tools. - Partner with data engineering and business intelligence teams to ensure data quality and accessibility. Communication: - Speak, present, and train team members on promotional strategy, campaign optimization, and customer engagement insights. - Manage regular updates to leadership on projects related to promotional performance and strategies. - Present findings effectively to senior leadership and cross-functional stakeholders. Analytics and Reporting: - Gather and analyze promotional campaign data, customer behavioral data, and transactional data to provide strategic insights. - Utilize analytical methods to identify patterns and trends across data sources. - Ability to self-serve data with programming skills (SQL, R, Python). - Experience in a highly scalable, distributed environment preferred. - Analyze data to provide promotional strategy recommendations, highlight opportunities, and inform adjustments to merchandising initiatives. - Provide coaching and development to team members on analytical approaches, stakeholder management, and business acumen. Strategic Leadership: - Serve as a go-to resource for Merchandising and Marketing teams on promotional performance questions. - Contribute to quarterly program reviews to inform planning and optimization efforts. - Drive process improvements and build scalable frameworks for promotional analytics. - Provide guidance on work prioritization and analytical quality standards for the Promotions Analytics team. - Stay current with food, retail, market news, and natural products trends. - Read popular and trade press widely. Also "A day in the life" section: could be considered responsibilities? It's more narrative; but we could include as part of About the role or maybe as a separate section? The spec only allows certain headings; we could incorporate into About the role as prose. But we must preserve all substantive info; we could add a paragraph about a day in the life under About the role or maybe under Responsibilities? Probably better to add as a paragraph under About the role after the description. However the spec says About the role section for section headings; we can include multiple paragraphs. Thus we will include the "A day in the life" narrative as a paragraph under About the role. Now Qualifications: we have Basic Qualifications and Preferred Qualifications. Basic Qualifications: - 2+ years of program or project management experience - Experience using data and metrics to determine and drive improvements - Experience owning program strategy, end to end delivery, and communicating results to senior leadership - 5+ years of business intelligence and analytics experience - Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab) - Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders - Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Engineering, analytical business specialty or commensurate retail experience Preferred Qualifications: - 2+ years of driving process improvements experience - Master's degree, or MBA in management, business administration, economics, engineering, marketing We could put both under Qualifications heading, maybe separate subheadings? But we cannot add extra headings beyond allowed list; but we could use

  to label "Basic Qualifications:" and "Preferred Qualifications:" inside the section. That's okay. Now Benefits: as described. Pay: include salary ranges and mention sign-on payments and RSUs. We should not include Job ID, Amazon equal opportunity boilerplate, accommodation link, etc. Now produce HTML. We'll need to wrap sections in

  and then content. Example:

  About the role

  Whole Foods Market is seeking a sharp, driven, and analytically minded Sr Program Manager to join our Promotions Analytics team. In this role, you will be at the forefront of understanding promotional performance and customer engagement, translating campaign data into strategic insights that directly shape our merchandising initiatives. This is a high-visibility role with real impact from day one. The right candidate should have a strong foundation in retail merchandising and promotional strategy, possess the ability to dive deep into complex campaign performance metrics, understand the business context behind the data, and continuously strive to find deeper insights. They should be ready to step into a role guiding and developing a small analytics team. The 3 other members of the Promotions Analytics team will look to the Sr Program Manager to interpret leadership's intent, inform priorities, and provide coaching & development. You will design and execute promotional analytics strategies to capture high-quality insights on retail promotions effectiveness and resulting customer behavior. You will conduct or manage deep-dive analyses on promotional performance, customer segmentation, and engagement patterns, surfacing the "so what" behind the data. Working closely with Merchandising and Marketing leaders, you will develop strategy, launch pilots, and deliver clear, actionable findings. Over time, you will help the team build repeatable, scalable analytical frameworks that improve the team's speed and depth. You will communicate results clearly to senior business leaders, translating complex data into concise narratives, and contribute as a key voice for the 3 other members of the Promotions Analytics team. We are looking for a candidate who brings a strong foundation in retail merchandising and promotional strategy, with the ability to contextualize business performance data within broader market dynamics. They have a proven ability to work through complex performance metrics and extract meaningful, business-relevant insights. They are comfortable operating at both the detail level and the strategic level, knowing when each is needed. They consistently deliver timely, accurate analyses, build partnerships across business teams, and drive change through insight. They can distill complex findings into concise narratives for a range of audiences. Promotions analytics is a strategic priority at Whole Foods Market. You'll have the opportunity to shape how we understand and optimize our promotional strategies, with the resources, data, and leadership support to make a real difference.

  A day in the life You start your day reviewing promotional campaign performance data in SQL, identifying trends in customer engagement and product performance across multiple campaigns. You build