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
1---2name: analytics-data-engineering-manager-product3description: 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.4---56# Analytics Data Engineering Manager, Product78## When to Use910- Design or scale a **product-embedded analytics engineering** org11- Prioritize analytics backlog with **product managers** and domain leads12- Define **analytics data products** (marts, metrics packs) tied to product launches13- Run delivery cadence: intake, estimation, dependencies with app/data platform teams14- Set **team KPIs** (freshness, test pass rate, time-to-metric for launches)15- **Hire, level, and develop** analytics engineers and leads16- Escalate cross-squad conflicts (metric definitions, shared dimensions, capacity)1718## When NOT to Use1920- Writing or refactoring dbt models → `analytics-data-engineer`21- Warehouse partition tuning or ETL platform design → `data-warehouse-engineer`22- Enterprise mesh, governance program, catalog policy → `data-architect` or `data-manager`23- Dashboard design and executive storytelling → `bi-analyst`24- Multi-portfolio technical programs (non-analytics) → `technical-program-manager`25- BRD/process mapping without analytics delivery → `business-analyst`2627## Related skills2829| Need | Skill |30|---|---|31| dbt implementation detail | `analytics-data-engineer` |32| Org-wide data ops and governance cadence | `data-manager` |33| BI and KPI storytelling | `bi-analyst` |34| Business rules sign-off | `business-analyst` |35| Platform architecture | `data-architect` |36| Large cross-functional program | `technical-program-manager` |3738## Core Workflows3940### 1. Org design and squad model4142Embedded vs centralized analytics engineering; ratios; interfaces to DE and BI.4344**See `references/team_org_design.md`.**4546### 2. Roadmap and prioritization4748Product-domain backlog, launch-aligned milestones, capacity trade-offs.4950**See `references/roadmap_prioritization.md`.**5152### 3. Delivery and launch alignment5354Definition of done for analytics with feature releases; dependency management.5556**See `references/delivery_launch_alignment.md`.**5758### 4. Stakeholder partnerships5960PM, product analytics, finance, legal/privacy, platform engineering forums.6162**See `references/stakeholder_partnerships.md`.**6364### 5. Hiring and career development6566Levels, interview loops, growth plans, performance calibration inputs.6768**See `references/hiring_development.md`.**6970### 6. Metrics and accountability7172Team scorecard, product analytics SLAs, incident and quality escalation.7374**See `references/team_metrics_accountability.md`.**7576## Output standards7778- Roadmap items link **business outcome**, **metric/mart deliverable**, and **owner**79- Launch checklist signed by PM + analytics eng before GA80- Escalations documented with options and recommendation81- No redefining enterprise architecture without `data-architect` ADR8283## When to load references8485- **Org** → `references/team_org_design.md`86- **Roadmap** → `references/roadmap_prioritization.md`87- **Delivery** → `references/delivery_launch_alignment.md`88- **Stakeholders** → `references/stakeholder_partnerships.md`89- **People** → `references/hiring_development.md`90- **KPIs** → `references/team_metrics_accountability.md`
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