Senior Product Manager (Business Transformation & Data Analytics)

Overview

We are seeking a highly versatile, senior-level professional who blends deep data/analytics fluency with hands-on process-improvement experience and software product ownership. This role has no fixed ceiling — scope will expand based on the candidate's ability to take ownership. The ideal candidate operates comfortably without a narrowly defined job description, moving fluidly between data analysis, stakeholder facilitation, solutioning, and light technical direction depending on what the business needs at any given moment.

Key Responsibilities

• Requirements, Solutioning & Product OwnershipAct as the primary liaison between business/non-technical stakeholders and technical teams (developers, data engineers) — translating business needs into technical requirements and translating technical constraints back into business terms.
• Own the end-to-end shaping of internal tools and data products: gather requirements, define solutions, and guide development teams through build and iteration, without necessarily writing production code.
• Serve as Business Analyst, Project Manager, and/or Product Owner across multiple concurrent tools/initiatives as needed.
• Proactively engage with upstream teams/processes to ensure the data or outputs they produce are usable downstream — rather than waiting for handoffs and reworking unusable results after the fact.
• Data, Dashboarding & Insight DeliveryTranslate business and observational data needs into precise technical specifications for developers and engineers — e.g., which data sources to pull from and join, what filtering/cleaning logic to apply to cut out noise, and what the resulting visual should look like (including specific drill-down/interactivity requirements) — without necessarily building the dashboard or report personally.
• Apply root cause analysis to diagnose process or performance issues before proposing solutions.
• Design information displays with strong UI/UX judgment so stakeholders can understand key findings at a glance, without needing a walkthrough.
• Cross-Functional & Data Engineering CoordinationWork with data engineers to define how source data should be structured, extracted, and transformed (ETL) to support downstream reporting and analytics needs.
• Collaborate on refining shared/curated data layers so data remains usable by teams beyond the immediate project.
• Identify when a manual or static process should be modernized (e.g., moved to the cloud, exposed via an API) to enable automation and scalability, and drive that conversation with non-technical stakeholders.
• Leadership & Stakeholder ManagementDirect the work of technical teams (e.g., dashboard developers, engineers) on a project basis, without necessarily holding formal HR/management responsibility for those individuals.
• Operate effectively in environments where stakeholders may be reluctant, guarded, or resistant to scrutiny — building trust and cooperation is essential to the role.
• Represent data/process/tooling initiatives in meetings across all levels of the organization, including senior leadership.
• Process ImprovementAssess business processes (via both system-generated data and direct observation), as an ongoing part of day-to-day work, to identify inefficiencies and improvement opportunities.

1. Required Qualifications10 years of professional corporate work experience (any industry).
2. Demonstrated experience translating business or observational data into actionable insights and recommendations.
3. Demonstrated experience conducting root cause analysis.
4. Demonstrated experience acting as a bridge between non-technical business stakeholders and technical teams (developers/engineers), including gathering requirements and shaping solutions.
5. Demonstrated experience proactively shaping upstream work/processes to ensure usable downstream outcomes, rather than reacting after the fact.
6. Demonstrated ability to influence stakeholders and shape work without formal authority over them.
7. Demonstrated skill in identifying the underlying business need behind a stakeholder's stated request, rather than executing the request at face value.
8. Demonstrated ability to build trust and gain cooperation from stakeholders who may be resistant, guarded, or unenthusiastic about the engagement.
9. Prior experience formally managing people (including HR-level responsibilities such as performance reviews) in at least one previous role.
10. Working conceptual understanding of SQL and Python — enough to identify when and how they should be applied to solve a problem, not necessarily hands-on mastery.
11. Working conceptual understanding of BI/visualization tools (e.g., Power BI, Tableau, Spotfire) and their appropriate use cases.
12. Working conceptual understanding of cloud data platforms (e.g., Databricks) and how modern data pipelines (ETL, layered data architectures) function.
13. Familiarity with AI-assisted development tools (e.g., GitHub Copilot, Claude Code) sufficient to recognize opportunities where they could accelerate a solution.
14. Comfort operating with high autonomy in an undefined or evolving role, wearing multiple functional hats (analyst, BA, PM, product owner) as needed.
15. Bonus QualificationsExperience serving as a one-person Business Analyst/Project Manager/Solution Owner on a software development initiative involving a dedicated engineering team.
16. Exposure to software development lifecycle practices and agile ceremonies (sprint planning, stand-ups, retrospectives, etc.).
17. Experience working with Excel, Power Automate, and/or Power Apps in a business analysis context.
18. Experience acting as Product Owner/Product Manager for internal tools or platforms.
19. Experience building a financial/value case — quantifying the dollar impact (savings or gains) of a proposed process, tool, or efficiency change. This is exercised only occasionally (not a day-to-day task), but is a valuable skill to have when high-stakes stakeholder buy-in is needed.

Education & Certifications

No specific degree or certification is required. Candidates will be evaluated on demonstrated experience and skill, not credentials.

Travel

Minimal to no travel required.