Manager Data Products

About the role

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.

Responsibilities

• 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
• 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
• Makes sure stakeholders always know what’s happening and why
• Act as the single point of contact for active workstreams

Requirements

• 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

Qualifications

• Bachelor’s degree or equivalent practical experience

Skills

• Familiarity with Microsoft Fabric or similar platforms
• Experience with analytics, automation, or AI-related products in enterprise environments

Benefits

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

Pay

N/A

Schedule

N/A

Benefits

N/A