Director, Analytics Engineering and AI

Pluralsight, LLC; United States; Hybrid; USD 167,200 - 220,000; Full time

Benefits offered by this job

Competitive compensation

Unlimited PTO

Comprehensive medical coverage

Professional development funds

Job summary

Pluralsight, LLC is hiring a Director of Analytics Engineering and AI to lead their data engineering group. This hands-on role involves developing a coherent data model pivotal for decision-making across product and enterprise data. You will collaborate with various teams while ensuring a seamless migration to AI-driven solutions.

Ideal candidates have extensive experience in data curation and modeling, and the ability to communicate effectively across technical and non-technical stakeholders.

Qualifications

• 12+ years in related roles, or 8+ years with advanced degree.
• Hands-on expertise in modern cloud data stacks.
• Strong grasp of data warehousing architecture and governance.

Responsibilities

• Lead and develop the Analytics Engineering team.
• Own the unified data transformation model.
• Partner with other teams on cross-team initiatives.
• Set engineering standards and uphold code quality.

Skills

Data curation

Dimensional data modeling

SQL

AI technologies

Education

12 years of related experience or 8+ years with an advanced degree

Tools

Snowflake

dbt

ClickHouse

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. 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. 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.

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.

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.
• 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.
• 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.

Experience you’ll bring

• 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.

Requirements

• Requires 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. This is a player‑coach role, not a purely managerial one.
• Experience leading a team of senior and principal engineers through a significant platform or architecture transition – not only steady‑state delivery, but change.
• 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.
• 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.

Why you’ll love working here

• We work in a blended environment that supports collaboration, flexibility, and connection across teams.
• 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.
• Benefits include competitive compensation, bonus eligibility, comprehensive medical coverage, unlimited PTO, wellness reimbursement, professional development funds, and more.

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. Additional benefits and bonuses may apply.

Physical Requirements

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

EEOC & Accommodations Statement

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.