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name: analytics-data-engineering-manager-product description: | Guides managers of product-embedded analytics engineering teams—org design, hiring and levels, roadmap and prioritization with product managers, analytics data product delivery, squad alignment, stakeholder forums, team KPIs, and escalation paths for metric and mart quality. Use when leading analytics engineers on product domains, planning analytics roadmaps per product area, resolving prioritization across squads, or defining how marts and metrics ship with features—not for hands-on dbt/SQL (analytics-data-engineer), enterprise data platform ADRs (data-architect), company-wide data governance ops (data-manager), or dashboard UX (bi-analyst). For vertical copilot/RAG product engineering management, use engineering-manager-vertical-ai-products—not analytics-data-engineering-manager-product.

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-architect or data-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/team_org_design.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/delivery_launch_alignment.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/team_metrics_accountability.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-architect ADR

When to load references

• Org → references/team_org_design.md
• Roadmap → references/roadmap_prioritization.md
• Delivery → references/delivery_launch_alignment.md
• Stakeholders → references/stakeholder_partnerships.md
• People → references/hiring_development.md
• KPIs → references/team_metrics_accountability.md