Senior Manager, Advanced Analytics - Tech Enablement
Listed on 2026-01-12
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IT/Tech
Data Analyst, Business Systems/ Tech Analyst, Data Science Manager, Data Security
About the Team
The Pricing Capabilities organization builds and scales the technology and operating mechanisms that enable data‑driven pricing decisions and operational excellence. Tech Enablement translates business needs into clear requirements, accelerates technology delivery across pricing pillars, and partners with Data and Automation/RPA to validate solutions and close capability gaps.
Role SummaryAs a Senior Manager, Tech Enablement (Pricing Capabilities), you will lead the operating model that turns pricing needs into executable work—owning the intake and prioritization mechanism, setting the bar for requirement quality, and driving portfolio‑level alignment across business and technology leaders. You will build a high‑performing team and ensure the organization consistently delivers the highest‑value work with transparency, speed, and accountability.
Responsibilities- Own and run the intake pipeline for new pricing capability ideas—ensure requests are outcome‑based, scoped appropriately, and tied to business impact.
- Lead prioritization activities to stack‑rank work and maintain a transparent “in vs. out” view for stakeholders.
- Drive cross‑functional decision‑making by facilitating prioritization forums and ensuring stakeholder alignment on what will be delivered, when, and why.
- Align Tech Enablement work with Product roadmaps and business priorities; identify gaps, overlaps, and dependency risks.
- Establish success metrics and governance routines that improve throughput, reduce decision latency, and increase predictability.
- Escalate and resolve cross‑team blockers with a bias for action and clear communication.
- Set the standard for BRDs and requirement readiness (templates, definition of ready, documentation hygiene, decision logs).
- Lead complex requirement discovery efforts across multiple pillars/capabilities and ensure consistent quality across your team’s outputs.
- Drive trade‑off conversations by clearly articulating options, impacts, and recommendations to senior stakeholders.
- Partner with Automation/RPA and Data teams to test bold ideas quickly, validate value, and reveal future capability gaps.
- Ensure prototype learnings are translated into clear requirements and scalable, roadmap‑aligned solutions rather than one‑off tooling.
- Support implementation planning, governance expectations, and change impacts to drive successful adoption.
- Lead, mentor, and coach a team of Tech Enablement associates/managers; build a culture of accountability, clarity, and collaboration.
- Identify skill gaps and create development plans that grow future capability (requirements, influence, domain knowledge, operating rigor).
- Promote an inclusive, high‑performing team environment with clear expectations and strong feedback loops.
- Continuously improve operating rhythms and artifacts (intake hygiene, prioritization, stakeholder communications, measurement).
- Champion customer‑centricity, learning, and adaptability across the portfolio.
- Strong track record building and operating intake + prioritization mechanisms that create transparency, speed, and alignment.
- Ability to translate strategy into a focused portfolio of work and drive senior stakeholder decisions through clear options and trade‑offs.
- Exceptional influence without authority across Business, Product, Engineering, Data, and Automation/RPA.
- High standards for requirement clarity and quality, and the ability to coach others to meet that bar.
- Structured thinking combined with pragmatic execution—moving work forward even amid ambiguity.
- Competitive pay with performance‑based bonuses and other benefits.
- Health: medical, vision, dental coverage.
- Financial: 401(k), stock purchase, company‑paid life insurance.
- Paid time off: PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, voting.
- Disability: short‑term and long‑term.
- Other: company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, Live Better U education benefit program.
- Bachelor’s degree in Business, Finance, Accounting, Statistics, or related field and 4 years’ experience in data analytics or related field OR 6 years’ experience in data analytics or related field.
- Certificate in business analytics, data mining, or statistical analysis; proficiency in statistical programming languages (e.g., SAS, R).
- Master’s degree in Business Administration, Information Systems, or Statistics.
601 Respect Dr, Bentonville, AR 72716, United States of America
EEO StatementWalmart, Inc. is an Equal Opportunity Employer–By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity—unique styles, experiences, identities, abilities, ideas, and opinions—while being inclusive of all people.
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