Product Owner, EMRge MMM

About the role

Ovative’s Modern MMM+ is our core marketing measurement product. As Product Owner for Modern MMM+, you will sit at the intersection of Data Science, Data Engineering, Client Delivery, and Client Teams. You will own the backlog, shape the delivery cadence, and translate complex modeling and measurement requirements into well-formed, executable work.

Responsibilities

• Translate program-level features and objectives into well-formed user stories with clear acceptance criteria that reflect business value and technical constraints.
• Work closely with Data Science and Data Engineers during iterations to clarify business and functional requirements and make timely decisions on scope, data inputs, and acceptance conditions.
• Own delivery-level tradeoff decisions (scope, sequencing, and technical constraints) — challenging priorities rather than simply executing against them, and making the call without escalating to the PM when not required.
• Accept or reject completed stories based on acceptance criteria and the team’s Definition of Done, ensuring that model outputs, pipeline deliverables, and tooling features truly meet user needs.
• Translate technical work into business impact — articulating why a modeling, pipeline, or tooling decision matters in terms of client outcomes, efficiency, or product quality, not just technical completeness.
• Ensure alignment between team deliverables and program-level objectives and roadmap, raising risks and tradeoffs when needed.
• Collaborate daily with the Scrum Lead to remove blockers, refine plans, and improve the team’s flow and ways of working.

Requirements

• 5–8+ years of experience in product management, product ownership, business analysis, or a related role, with at least 2 years focused on data, analytics, or measurement products.
• Proven success owning a technical product backlog and leading delivery in a SAFe or similar scaled agile environment, including sprint planning, refinement, cross-team dependency management, and PI planning.
• Demonstrated ability to make and communicate independent prioritization decisions — including trade-offs under pressure — without requiring PM escalation for routine decisions.
• Demonstrated experience working closely with Data Science and Data Engineering teams on complex modeling or pipeline products — comfortable discussing data pipelines, model inputs/outputs, and schema-level decisions without requiring deep implementation expertise.
• Strong analytical, strategic thinking, and problem-solving skills, including comfort with cost–benefit analysis, prioritization frameworks, and scope negotiation under capacity constraints.
• Ability to translate technical work into clear business impact — articulating the “why it matters” for engineering-driven decisions in terms stakeholders and clients can act on.
• Excellent communication and stakeholder engagement abilities, including executive-level communication and the ability to translate technical modeling or pipeline concepts into clear business value.
• Demonstrated ability to influence and align cross-functional teams across DS, DE, and client delivery functions.

Qualifications

• Experience with Atlassian tools (Confluence, Jira) and strong documentation instincts; familiarity with JSM or operational request management tooling a plus.
• Preferred background in marketing measurement, media analytics, or adjacent fields (e.g., attribution, incrementality testing, marketing mix modeling, or media planning).
• Familiarity with Bayesian modeling concepts — including priors, ROAS, diminishing returns, and model calibration — at a conceptual, not implementation, level sufficient to evaluate feasibility and write acceptance criteria.
• Experience with data platforms and pipeline tooling such as BigQuery, Dagster, Databricks, or similar environments.
• Prior exposure to product configurability frameworks, feature flag taxonomy design, or tiered offering management across client segments.
• Comfort working in environments where methodology, tooling, and process are simultaneously evolving, with a bias toward structured documentation and decision anchors.
• Experience conducting or facilitating user research, discovery sessions, or shadowing to ground product decisions in observed user behavior.

Benefits

• Base Salary
• Annual Bonus
• Benefits

For our Product Owner positions, our compensation ranges from $90,000 to $132,000, which is inclusive of a 20% bonus.

Additional benefits information is provided below.

Our culture is one of trust and transparency, with a focus on supporting each other to perform to our highest potential. We offer a variety of tangible amenities, including access to all office spaces in MSP, NYC, and CHI, frequent, paid travel to our Minneapolis headquarters, generous paid vacation policy, 401k match program, top-notch health insurance options, inclusive of same sex partners, family formation benefits, monthly stipend for your mobile phone and data plan, sabbatical program, charitable giving via our time and a financial match program, and Shenanigan’s Day.