← omadahealth / Senior Product Manager, Data Enablement
tailored_resume_v2 / art_iqr8mH6xdHU
role
model
anthropic/claude-sonnet-4.6
created
2026-06-11T15:54
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What changed for omadahealth
| change | why it matters |
|---|---|
| Summary rewritten to lead with healthcare data platform and enterprise analytics governance credentials | JD's primary mandate is enterprise analytics governance and data enablement; Kaiser Permanente healthcare background and Intuit platform scale are the strongest proof points |
| Intuit reordered to lead experience section and reframed around data governance, self-service enablement, and SQL/BigQuery analytics | Intuit is the highest-relevance role (score 5) with direct proof of self-service platform, governed asset lifecycle management, and enterprise-scale analytics tooling |
| Kaiser Permanente moved to second position (above Splunk) and reframed around healthcare data governance and regulated analytics platform | Healthcare data standards and regulatory requirements are strongly preferred; Kaiser is the only healthcare role and directly maps to Omada's clinical data environment |
| Splunk reframed as 'Search Orchestration & Analytics Platform' with emphasis on data catalog, query performance, and cross-functional roadmap governance | Search Catalog (PostgreSQL metadata) and SPL ownership directly map to JD's data catalog, shared definitions, and analytics tooling requirements |
| Asterias bullet reframed as 'governed definitions, shared metadata standards, and reusable data products' | JD explicitly calls for 'shared definitions,' 'reusable data products,' and 'single source of truth' — Asterias is the strongest direct proof point |
| aeval project moved to lead the projects section | aeval's statistical rigor, data quality governance, and governed metrics definitions most directly map to JD's analytics governance and data quality management requirements |
| Streamio and Fintellect condensed to 2 bullets each | Lower relevance to data enablement role; space prioritized for Intuit, Kaiser, and Splunk which have direct proof of JD requirements |
| IBM reframed to emphasize enterprise BI product domain and data quality remediation | JD requires BI tools experience; IBM BI background provides direct domain credibility even as a condensed single bullet |
| Drift Detection bullet reframed as 'data quality governance and single source of truth for service configurations' | JD explicitly calls for 'data quality management' and 'single source of truth' — this is an accurate reframe of the same technical work |
| AutoEval and Deep Learning Education Platform projects removed | Low relevance to data enablement/governance role; space needed for higher-relevance content within 2-page target |
JD analysis (20 key phrases)
Key phrases: data enablementanalytics governanceshared definitionssingle source of truthself-service analyticsdata product managemententerprise analyticsdata quality managementcross-functional stakeholdersanalytics ecosystemgoverned definitionsreusable data productsAI-assisted analyticsdata platformmetrics governanceanalytics toolingdata trustroadmap for core data productseliminate fragmentationaccelerate insights
Hard requirements:
- 10+ years product management or data product experience
- 7+ years with data technology and data management
- Modern data warehousing (Redshift, Snowflake, BigQuery)
- Cloud technologies, preferably AWS
- BI and analytics tools (Tableau, Amplitude, Looker)
- Data governance frameworks and data quality management
- SQL proficiency
- Enterprise analytics governance / data product management
- Governance processes for data definitions and metrics across business functions
- Partner with Data Teams on self-service tools and statistical model training lifecycle
- Influence senior stakeholders and reconcile opposing viewpoints
Preferred qualifications:
- Healthcare data standards and regulatory requirements
- Advanced degree
- Experience with AI-assisted analytics
- Cross-functional analytics enablement (Product, Clinical, Commercial, Operations, Finance)
Per-role mapping (9 roles scored)
| role | score | reframe angle | JD phrases that map |
|---|---|---|---|
| Intuit — Staff Product Manager, Developer Frameworks & Platform Infrastructure | 5/5 | Enterprise data platform governance, self-service enablement, and cross-functional analytics tooling at scale | self-service analytics, analytics governance, shared definitions, enterprise analytics, data platform, cross-functional stakeholders, reusable data products, roadmap for core data products |
| Splunk Inc. — Senior Product Manager, Search Orchestration | 4/5 | Analytics query platform, data catalog ownership, and governance frameworks for enterprise data products | analytics tooling, data product management, governed definitions, accelerate insights, enterprise analytics, single source of truth |
| Kaiser Permanente — SOA Technical Product Manager | 4/5 | Healthcare data platform ownership, enterprise-scale analytics infrastructure, and regulated data governance | data governance, data quality management, enterprise analytics, data enablement, healthcare data standards, cross-functional stakeholders |
| Streamio AI — Founder & CEO | 2/5 | AI-assisted analytics and 0-to-1 product execution | AI-assisted analytics, reusable data products |
| Fintellect AI — Founder & CEO | 2/5 | AI-powered analytics tooling and data product design for business users | analytics tooling, AI-assisted analytics, data product management |
| IBM — Software Engineer, Business Intelligence Products | 3/5 | Enterprise BI product engineering and data quality resolution | analytics tooling, data quality management, enterprise analytics |
| Bank of America Merrill Lynch — Tech MBA Summer Associate | 2/5 | Quantitative analytics in regulated financial environment | analytical skills, data-driven decision making |
| aeval — AI Model Evaluation Platform | 4/5 | Data quality governance, metrics standardization, and analytics platform engineering | data quality management, governed definitions, analytics tooling, single source of truth |
| RL Workbench | 2/5 | Standardized benchmarking and metrics governance | shared definitions, metrics governance |
Tailored summary
Senior Product Manager with 12+ years owning enterprise data platforms, analytics governance, and self-service enablement at scale — including 3+ years in healthcare data infrastructure at Kaiser Permanente and enterprise BI product engineering at IBM. At Intuit, drove 275% YoY growth in platform engagements to 675M+ by building self-service tooling, governed asset lifecycle management, and SQL/BigQuery-driven prioritization frameworks across 30+ product SKUs. NeurIPS-published researcher with deep fluency in data quality, metrics standardization, and cross-functional stakeholder alignment from Product to Finance to Clinical.