Director, Analytics Engineering and AI

Das ist der Job

The leader is accountable for a cohesive, coordinated data model covering both product and enterprise data.

Darum lohnt es sich

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.

This is a hands‑on, player‑coach role: the right leader sets direction and grows the team, but also rolls up their sleeves — modeling data, writing and reviewing SQL and dbt code leveraging AI, and getting into the weeds to solve the hardest problems alongside their engineers.

What you’ll do: 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.

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.

Demonstrated hands‑on expertise in data curation, transformation, and dimensional/medallion data modeling on a modern cloud data stack (e.g., Snowflake, dbt). Experience leading a team of senior and principal engineers through a significant platform or architecture transition — not only steady‑state delivery, but change.

Ability to clearly communicate direction, trade‑offs, and results to senior, non‑technical leaders as well as technical team members. Why you’ll love working here: We work in a blended environment that supports collaboration, flexibility, and connection across teams.

Benefits include competitive compensation, bonus eligibility, comprehensive medical coverage, unlimited PTO, wellness reimbursement, professional development funds, and more. Physical Requirements: This role is primarily performed in an office or home office setting and involves standard computer‑based work.

Additional benefits and bonuses may apply. Job Description: 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. They also build the certified semantic layer that makes this foundation reliably and safely accessible to AI.

Who you’re committed to being: You move fluidly between technical detail and executive-level storytelling, adjusting your message to fit the room. You build trust and alignment among Revenue, Marketing, and Finance by earning agreement, not demanding it. You balance vision with execution.

Training and elevating other analytics practitioners is part of how you define your own success. You treat your solutions and leadership style as always improving, not finished. 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. This layer builds on a governed data dictionary and metrics store. It also covers lineage, freshness, ownership, access, entity relationships, and business knowledge.

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.

Experience you’ll bring: Familiarity with high‑performance OLAP serving layers (e.g., ClickHouse) for product‑oriented 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. Requirements: Requires a minimum of 12 years of related or equivalent experience; or 8+ years and an advanced degree.

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. This is a player‑coach role, not a purely managerial one. Strong grasp of data warehousing architecture, data governance.

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.

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. This approach enables more effective collaboration, quicker decision‑making, and a stronger culture, while still providing flexibility.

We are mission‑driven, shaping the future of tech upskillling and delivering impact that matters. We foster a culture of inclusion and belonging, where everyone can contribute and thrive. We are always learning, creating an environment where you can take on new challenges, expand your skills, and grow with purpose.

About us: Pluralsight provides the only learning platform dedicated to accelerating the technology skills and capabilities of today’s tech workforce.

Thousands of companies, government organizations and individuals around the world rely on Pluralsight to support critical technology skill development in areas that are crucial to innovation including artificial intelligence, cloud computing, cybersecurity, software development, and machine learning.

We offer highly curated content developed by vetted technology experts, industry leading skill assessments, and hands‑on, immersive learning experiences designed to help individuals skill‑up faster. EEOC & Accommodations Statement: Bring yourself. Pluralsight is an equal opportunity employer.

We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or veteran status. We also consider qualified applicants with criminal histories, consistent with EEOC guidelines and local laws.

If you need an accommodation to apply, interview, or perform essential job functions, please visit the bottom of our website to learn how to request an accommodation. Learn more about our commitment to diversity, equity, inclusion, and belonging in our DEIB Report.

Pay Transparency: 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. Applications must be submitted within 90 days after the initial posting date to be considered. 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. #LI-SD1 #J-18808-Ljbffr