Associate Product Manager, Data Governance

Omada Health

1d•$123,200 - $161,000•Remote

About The Position

Omada is reimagining virtual-first care for pre-diabetes, diabetes, hypertension, and musculoskeletal conditions, taking into account personal context and comorbid health conditions. As the Associate Product Manager for Data Governance, you will be the enterprise-level owner of analytics governance, shared definitions, and enablement processes that ensures Omada can answer critical business questions faster and more efficiently. This role will work across Product, Clinical, Commercial, Operations, and Finance to create the structures for how analytics are governed, accessed, and used. The primary mandate of this role is to support the product strategy and roadmap for Omada’s enterprise analytics including governance, shared definitions, and enablement tooling. You are accountable for ensuring that teams across Product, Clinical, Commercial, Operations, and Finance can ask and answer critical business questions quickly, consistently, and with high trust in the underlying data. This means defining how key concepts are governed, how new concepts are integrated into the data model, and how cross-functional stakeholders engage with the data platform. You will act as the central product owner for Omada’s analytics ecosystem, setting clear standards and driving adoption across the company. In practice, this includes: Establishing and maintaining authoritative definitions for core business and clinical concepts, and resolving conflicts between local and enterprise views. Designing and evolving governance processes, SOPs, and engagement models so that analysts and business users can work efficiently within a coherent, well-understood framework. Collaborating with other product managers to incorporate data science concepts into their features & experiences

Requirements

5+ years of relevant experience with a Bachelor’s degree or additional equivalent/relevant years of experience in lieu of a Bachelor’s (or generally 3+ with an advanced degree)
Subject matter expertise in enterprise analytics governance, data product management, or analytics enablement
Experience establishing governance processes & associated tool implementation for data definitions, metrics, or analytics across multiple business functions
Track record of working on problems that are not clearly defined, using advanced knowledge and conceptual thinking to develop solutions
Bachelor's degree or equivalent relevant experience (advanced degree preferred)
Strategic & Analytical:
Able to think beyond constraints to imagine new ways to use data to impact members and customers
Excellent organizational and analytical skills with strong technical understanding
Comfortable analyzing data and leading research/discovery efforts to understand problem spaces, identify opportunities, and propose solutions
Communication & Influence:
Exceptional written and verbal communication skills
Ability to create formal networks with key decision makers and influence stakeholders across multiple functions
Skilled at adapting communication style for different audiences, from technical teams to senior executives
Collaboration & Problem Solving:
Comfortable with ambiguity and adept at solving problems with limited resources and information
Great listener who asks insightful questions and doesn't accept "It's how we've always done it" as an answer
Proven ability to reconcile various and opposing stakeholder views to drive results
Execution & Delivery:
History of consistently delivering results against target metrics and commitments
Ability to exercise autonomous decision making with limited input on methods and techniques to obtain results

Nice To Haves

Experience with healthcare data standards and regulatory requirements is strongly preferred

Responsibilities

Establishing and maintaining authoritative definitions for core business and clinical concepts, and resolving conflicts between local and enterprise views.
Designing and evolving governance processes, SOPs, and engagement models so that analysts and business users can work efficiently within a coherent, well-understood framework.
Collaborating with other product managers to incorporate data science concepts into their features & experiences