Director of Analytics Engineering and AI, Pluralsight
$167.2-220k
Plus bonus eligibility
More information about location
Technology workforce development company
Open for applications
Technology workforce development company
1001+ employees
Open for applications
$167.2-220k
Plus bonus eligibility
More information about location
1001+ employees
Company mission
To inspire and empower the tech workforce to achieve their goals.
Role
Who you are
- 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
- 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
What the job involves
- 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
- 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
- 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
Our take
Pluralsight is dedicated to closing the global tech skills gap, a mission that has become increasingly urgent as industries worldwide face a growing shortage of IT talent. This high demand for upskilling makes Pluralsight's online training services more relevant than ever.
Founded in 2004, Pluralsight has matured into a prominent player in the online upskilling industry. The company has seen significant growth in recent years, capitalising on the surge in demand before many competing startups emerged. Despite facing competition from major players like Grow with Google and Udemy, Pluralsight has maintained its strong position.
Though Vista Equity Partners' 2021 acquisition has brought some challenges, Pluralsight, once a unicorn startup now a public company, continues to thrive. With numerous partnerships with NGOs, educational institutions, and corporations, Pluralsight remains a key player in tackling the tech skills shortage.
Freddie
Company Specialist at Welcome to the Jungle
Insights
-11% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Dec 2016
$30m
SERIES C
Aug 2014
$135m
SERIES B
Total funding: $195m
Company benefits
- Unlimited PTO
- Summer Fridays
- Holidays
- Parental Leave
- Medical, Dental and Vision
Company HQ
Draper, UT
Leadership
Aaron Skonnard
(Co-Founder & CEO)Worked as a DevelopMentor Author, and was President of Skonnard Consulting. In 2004, left a Neumont University Associate Professorship to co-found Pluralsight.
Fritz Onion
(Co-Founder & Content Advisor)Started as an Oracle Software Engineer after a degree at Harvard, and then spent 10 years as a DevelopMentor Instructor. Subsequently co-founded Pluralsight in April 2004, serving as Content Advisor.
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