Director, Analytics Engineering & Data Products

Knowit Training; Houston (TX); Vor Ort; USD 140.000 - 190.000; Vollzeit

Zusammenfassung

Knowit Training is seeking a Manager, Analytics Engineering to lead teams transforming governed data into trusted analytical products. You will own semantic quality, metrics governance, and model reliability, partnering with Data Platform Engineering, AI, Product Management, and business teams.

You will ensure data products are scalable, well-documented, cloud-ready, and tied to measurable business outcomes while promoting responsible AI tooling and governance.

Qualifikationen

• Bachelor's degree in Computer Science, Engineering, Information Systems, Data Analytics, Business, or a related field preferred.
• Equivalent years of relevant work experience may be considered.
• 6+ years in analytics engineering, data engineering, business intelligence engineering, data products, cloud data platforms, or related fields.
• 3+ years leading analytics, data engineering, data product, or technical delivery teams, including direct management of a team of 3-4 analytics engineers.
• Experience supporting governed metrics, curated analytical models, semantic layers, data quality controls, and production-grade reporting or AI-enabling datasets.

Aufgaben

• Lead and directly manage a team of 3-4 analytics engineers responsible for curated analytical data products, governed metrics, and reporting-ready assets.
• Own semantic consistency, model quality, documentation standards, and metric governance across analytics engineering pods.
• Establish delivery expectations, service levels, and operational standards for analytical data products. Oversee production readiness and operational reliability by ensuring clear monitoring practices, runbooks, issue triage processes, root cause analysis, stakeholder communication, and continuous improvement of data quality and freshness.
• Partner with business stakeholders, Product Management, AI, and Data Platform Engineering to prioritize data product needs, resolve tradeoffs, drive adoption, collect feedback, monitor usage, retire duplicative assets, and ensure delivered data products create measurable business value.
• Balance operational support with long-term product evolution, including reuse, consolidation, and retirement of duplicate analytical logic.
• Serve as an escalation point for data trust, metric consistency, and production reliability issues.
• Coach Analytics Engineers and Data Product Developers on modeling, documentation, engineering discipline, and product thinking.
• Promote effective use of approved AI tooling, including Copilot, Vertex AI, and AI code assist capabilities, to accelerate delivery, improve documentation, and strengthen engineering practices while maintaining human review and accountability.

Kenntnisse

Analytics engineering

Semantic modeling

Governed metrics

Stakeholder management

Communication

Ausbildung

Bachelor's degree in Computer Science, Engineering, Information Systems, Data Analytics, Business, or a related field

Equivalent years of relevant work experience

Tools

dbt

SQL

Git

CI/CD

Documentation standards

AI tooling (Copilot, Vertex AI)

Power BI

Looker

Tableau

Jobbeschreibung

Knowit Training is seeking a Manager, Analytics Engineering to lead teams transforming governed data into trusted analytical products. You will own semantic quality, metrics governance, and model reliability, partnering with Data Platform Engineering, AI, Product Management, and business teams.

You will ensure data products are scalable, well-documented, cloud-ready, and tied to measurable business outcomes while promoting responsible AI tooling and governance.