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

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: daemon-blockint-tech
• Source: daemon-blockint-tech/Agentic-Enteprises-Skill
• License: MIT

Install and usage instructions live in the source repository linked above.