Director, Analytics Engineering and AI

About the role

The Director, Analytics Engineering and AI leads the data engineering group and owns the curated, certified data foundation the business relies on to make decisions. The leader is accountable for a cohesive, coordinated data model covering both product and enterprise data. They also build the certified semantic layer that makes this foundation reliably and safely accessible to AI. They lead a team of senior and principal engineers through a significant platform transition towards AI while sustaining the revenue-, pipeline-, and finance-critical reporting the company depends on every day.

Responsibilities

• Lead, develop, and grow the Analytics Engineering team — setting technical direction, standards, and priorities — while sustaining business-critical reporting (revenue, product, marketing, finance) without interruption.
• Own a single, unified data transformation and model spanning both product/behavioral and enterprise (GTM, finance) data.
• Establish and expand the certified contextual layer that ensures reliable and safe access to the data warehouse for analytics.
• Drive the migration of transformation logic out of integration/middleware tooling into governed, certified models owned by the team.
• Partner across Data Analytics, Data Engineering, Data Architecture, Data Governance to plan and execute cross-team initiatives.
• Serve as a senior partner to collaborators across Revenue, Marketing, Finance, GTM, and Success.
• Translate business needs into scalable, balanced analytics solutions.
• Communicate mentorship, compromises, and outcomes to senior leadership.
• Set and uphold engineering standards — modeling conventions, certification practices, code quality, and documentation.
• Stay hands-on in the work: build and review data models, write and debug SQL and dbt code leveraging AI, dig into data-quality issues, and take direct ownership of the most complex or highest-stakes problems.

Requirements

• A minimum of 12 years of related or equivalent experience; or 8+ years and an advanced degree.
• Demonstrated hands-on expertise in data curation, transformation, and dimensional/medallion data modeling on a modern cloud data stack (e.g., Snowflake, dbt).
• Proven breadth of data modeling across both product/behavioral event data and enterprise GTM/finance data.
• Current, hands-on technical depth in making productive use of AI.

Qualifications

• Familiarity with high-performance OLAP serving layers (e.g., ClickHouse) for product- or customer-facing analytics.
• Experience reducing reliance on integration/middleware tooling by migrating transformation logic into governed models.
• Experience partnering with a data governance function on company-wide standards, schema/version control, and PII classification.

Skills

• Ability to move fluidly between technical detail and executive-level storytelling.
• Strong grasp of data warehousing architecture, data governance.
• Ability to clearly communicate direction, trade-offs, and results to senior, non-technical leaders as well as technical team members.
• Experience building a semantic/contextual layer and making data AI-ready — including patterns such as retrieval-augmented generation (RAG) or natural-language analytics over a governed warehouse.

Benefits

• Competitive compensation.
• Bonus eligibility.
• Comprehensive medical coverage.
• Unlimited PTO.
• Wellness reimbursement.
• Professional development funds.

Pay

The annual US base salary range for this role is $167,200- $220,000 USD. Actual compensation will depend on location, skills, experience, and other factors. Additional benefits and bonuses may apply.

Schedule

This is a remote role; however, applicants located within 45 miles of our Westlake/Dallas, TX office should expect to work on-site Tuesday through Thursday, with remote flexibility on Mondays and Fridays.

Physical Requirements

This role is primarily performed in an office or home office setting and involves standard computer-based work.

EEOC & Accommodations Statement

We’ll only contact you from an @pluralsight.com email or verified channels. We never ask for sensitive personal info or payments as part of the hiring process. All openings are posted on our Careers page.

Recruiting Scam Notice

Please be aware of recruiting scams. We’ll only contact you from an @pluralsight.com email or verified channels. We never ask for sensitive personal info or payments as part of the hiring process. All openings are posted on our Careers page.