SKILL.md
Analytics Data Engineering Manager, Product
When to Use
- Design or scale a product-embedded analytics engineering org
- Prioritize analytics backlog with product managers and domain leads
- Define analytics data products (marts, metrics packs) tied to product launches
- Run delivery cadence: intake, estimation, dependencies with app/data platform teams
- Set team KPIs (freshness, test pass rate, time-to-metric for launches)
- Hire, level, and develop analytics engineers and leads
- Escalate cross-squad conflicts (metric definitions, shared dimensions, capacity)
When NOT to Use
- Writing or refactoring dbt models →
analytics-data-engineer - Warehouse partition tuning or ETL platform design →
data-warehouse-engineer - Enterprise mesh, governance program, catalog policy →
data-architectordata-manager - Dashboard design and executive storytelling →
bi-analyst - Multi-portfolio technical programs (non-analytics) →
technical-program-manager - BRD/process mapping without analytics delivery →
business-analyst
Related skills
| Need | Skill |
|---|---|
| dbt implementation detail | analytics-data-engineer |
| Org-wide data ops and governance cadence | data-manager |
| BI and KPI storytelling | bi-analyst |
| Business rules sign-off | business-analyst |
| Platform architecture | data-architect |
| Large cross-functional program | technical-program-manager |
Core Workflows
1. Org design and squad model
Embedded vs centralized analytics engineering; ratios; interfaces to DE and BI.
See references/teamorgdesign.md.
2. Roadmap and prioritization
Product-domain backlog, launch-aligned milestones, capacity trade-offs.
See references/roadmap_prioritization.md.
3. Delivery and launch alignment
Definition of done for analytics with feature releases; dependency management.
See references/deliverylaunchalignment.md.
4. Stakeholder partnerships
PM, product analytics, finance, legal/privacy, platform engineering forums.
See references/stakeholder_partnerships.md.
5. Hiring and career development
Levels, interview loops, growth plans, performance calibration inputs.
See references/hiring_development.md.
6. Metrics and accountability
Team scorecard, product analytics SLAs, incident and quality escalation.
See references/teammetricsaccountability.md.
Output standards
- Roadmap items link business outcome, metric/mart deliverable, and owner
- Launch checklist signed by PM + analytics eng before GA
- Escalations documented with options and recommendation
- No redefining enterprise architecture without
data-architectADR
When to load references
- Org →
references/teamorgdesign.md - Roadmap →
references/roadmap_prioritization.md - Delivery →
references/deliverylaunchalignment.md - Stakeholders →
references/stakeholder_partnerships.md - People →
references/hiring_development.md - KPIs →
references/teammetricsaccountability.md