What You'll Do
Engagement Process Ownership
- Own the end-to-end health of the Engagement process: sourcing and onboarding new engagements, maintaining data accuracy for existing ones, and retiring or flagging engagements that no longer meet quality bar.
- Set the strategic direction for how engagement supply should grow — which categories, geographies, or partner types need investment — in partnership with Community Partners.
- Identify and prioritize opportunities to automate manual steps in the engagement lifecycle (e.g., general admission automation, structured data collection in ConnectRx, automated data crawling/validation), partnering with Engineering and Product to scope and build solutions.
- Define and monitor the operational and data-quality metrics that indicate engagement supply health (coverage, freshness, completeness, error rates) and use them to prioritize your own roadmap.
Cross-Functional Collaboration
- Serve as the primary point of contact for Community Partners on engagement data, requirements, and process changes.
- Partner with Product and Engineering to translate operational pain points into product requirements, and represent the engagement/supply perspective in roadmap discussions.
- Work with Community Partners and Client Success to understand how engagement supply gaps or data quality issues are showing up for clients and members, and feed that back into prioritization.
- Communicate complex engagement-process or data problems clearly to a range of audiences — from technical partners in Engineering to non-technical partners in Community Partners or Client Success — tailoring the explanation to what each audience needs to act on it.
Data & Continuous Improvement
- Use moderate-level data analysis (querying, spreadsheet/BI-tool analysis, trend spotting) to monitor engagement data quality and supply performance, and to make the case for process or product changes.
- Regularly report out on engagement supply health, automation progress, and key risks, with recommendations for what to prioritize next.
- Continuously look for the next highest-leverage manual process to eliminate or automate, rather than treating the current state as the finish line.
What You'll Bring
- Experience in an operations, program management, or business/data analyst role with a strong technical or process-automation bent.
- Moderate/Proficient data analytic knowledge — comfortable working in spreadsheets, SQL, or BI tools (Looker or similar) to understand trends and support decisions, without necessarily being a full-time analyst.
- A demonstrated bias toward automating repeatable work rather than accepting manual process as permanent.
- Strong cross-functional communication skills, with the ability to translate the same underlying problem differently depending on the audience (technical vs. non-technical, internal vs. partner-facing).
- Comfort owning ambiguous, evolving processes and bringing structure and strategic direction to them.
- Experience working with external partners or vendors (Community Partners, clients, or similar) in an operational capacity.
Nice to Have
- Experience with Salesforce, Looker, Snowflake, or similar internal platforms.
- Familiarity with social prescribing, community health, or healthcare-adjacent operations.
- Experience scoping automation or tooling requirements for an Engineering team.
- Experience with data crawling, structured data collection, or data pipeline concepts.
Who You'll Work With
This role reports to the Head of Community Partners, with a dotted-line relationship to the Head of Product. You'll partner closely and work regularly with Community Partners, Product, Engineering, Care, and Client Success.