This role exists to drive real business outcomes from data and analytics investments. It sits between business stakeholders and the BI/data team, ensuring the right work gets prioritized, delivered, and adopted across reporting, self-service, and emerging data products.
Today, most solutions are delivered in Power BI and Microsoft Fabric, but this will evolve over time. This is a hands-on, delivery-driven role focused on making sure things actually move forward and produce value.
This role requires someone who is comfortable forming and defending opinions on what should be built, not just managing incoming requests.
What You’ll Do
Drive the Work That Matters
Act as the intake point for data and analytics requests (reporting, datasets, automation, AI-assisted solutions)
Prioritize work based on business value, urgency, and effort
Keep the team focused on high-impact outcomes, not just activity
Keep Delivery Moving
Maintain visibility into active work, blockers, and timelines
Step in as needed to unblock issues and keep things progressing
Coordinate across BI, Data Engineering, and business stakeholders
Ensure solutions are ready for release (data quality, validation, access, and usability)
Translate Business Needs into Action
Work directly with stakeholders to clarify problems and define success
Turn vague requests into clear direction the team can execute on
Align expectations on scope, tradeoffs, and timelines
Own Outcomes (Not Just Output)
Ensure delivered outputs (reports, datasets, automations, or AI-enabled solutions) are actually used
Follow up on adoption, usability, and impact
Adjust priorities based on what is or isn’t working
Communicate Clearly and Frequently
Provide simple, direct updates on progress and risks
Make sure stakeholders always know what’s happening and why
Act as the single point of contact for active workstreams
What Success Looks Like
The right work is getting done at the right time
Data and analytics solutions are used and delivering value
Stakeholders feel informed, supported, and aligned
The team is productive without heavy process overhead
Fewer escalations, surprises, and rework
What You Bring
Minimum 5 years Product manager experience
Minimum 2 Years experience with data products (Fabric, Power BI, AI Agents)
Strong working knowledge of Power BI and modern data/reporting environments (required)
Experience delivering data or analytics solutions (reports, datasets, automation, or AI-enabled tools)
Demonstrated product-oriented thinking
Forms clear opinions on what should (and should not) be built
Focuses on outcomes, not just requirements intake
Comfortable making tradeoffs and pushing back when needed
Proven ability to collaborate effectively with both technical teams and business stakeholders to drive meaningful outcomes
Ability to prioritize effectively in ambiguous environments
Bias toward action and progress over perfection
Clear, practical communication style
Bachelor’s degree or equivalent practical experience
Nice to Have
Familiarity with Microsoft Fabric or similar platforms
Experience with analytics, automation, or AI-related products in enterprise environments
What This Role Is
A delivery-focused role blending coordination, prioritization, and light product thinking
A bridge between business needs and technical execution
A driver of clarity, momentum, and accountability
What This Role Is Not
Not a project manager focused only on timelines and tracking
Not a developer role expected to build every solution personally