Director, Enterprise Data Management & Governance

Job Description

The Director, Data Management and Governance owns the company-wide standards, controls, and accountability that make Pluralsight’s data trustworthy.

This leader sets and enforces data governance policy across the data org (Data Engineering and Analytics Engineering), the upstream teams that produce data, and the external Saa S vendor data owners (e. g., Salesforce) the company depends on — including data contracts enforced as a gate before data is ingested.

This is a hands‑on, player‑coach role: the right leader sets policy and grows the team, but also profiles data, writes the queries, and drafts the contracts themselves.

They are also a fluent, productive user of AI in their own day‑to‑day work, both to accelerate the governance practice and to model the AI‑augmented way of working they are asking the team to adopt.

• What you’ll do
• Set, own, and enforce company‑wide data governance policy and standards spanning the data org (Data Engineering and Analytics Engineering), upstream data producers, and external Saa S vendor data owners (e. g., Salesforce) — the standards, controls, and accountability that keep data consistent and trustworthy at the source.
• Establish and enforce data contracts as a gate before ingestion — defining producer obligations for schema, semantics, quality, and change notification.
• Own the schema‑registration and versioned change‑control process.
• Drive the principle of centralizing data transformation logic in the data org’s data model layer.
• Lead PII governance end to end — identifying, classifying, tagging, and masking sensitive data, and setting the role‑based access controls (RBAC).
• Establish data‑quality standards, measurement, and monitoring — defining the metrics, making data health visible.
• Own master data management for core enterprise entities — accounts, contacts and de‑duplication, and similar — as the authoritative, reconciled source of truth.
• Lead, develop, and grow the data governance and data quality team, setting priorities and standards while sustaining day‑to‑day data‑quality operations without interruption.
• Stay hands‑on in the work: profile and investigate data directly, write the queries, draft and review the data contracts and policy, and take direct ownership of the hardest data‑quality and data‑ownership problems.
• Use AI productively in day‑to‑day governance work — accelerating data‑quality investigation, policy and contract drafting and review, and data profiling — and set the example for AI‑augmented working across the team.

Experience you’ll bring

• Familiarity with the modern data stack this function governs (e. g., Snowflake, dbt) and with major Saa S sources such as Salesforce, Zuora, and Workday.
• Experience standing up PII/RBAC controls as a prerequisite for enterprise AI enablement.
• Experience governing data across a Saa S‑heavy enterprise landscape with multiple external data owners.

Requirements

• Requires a minimum of 12 years of related or equivalent experience; or 8+ years and an advanced degree.
• Expertise in data management and governance — data contracts, metadata management, master data management, data quality, and policy — with the ability to tie standards and controls to business value and to customer trust.
• Demonstrated ability to set and enforce company‑wide standards and negotiate data ownership across internal engineering teams, upstream data producers, and external Saa S vendor owners.
• Experience implementing data contracts and a schema/version registry as an enforced, pre‑ingestion control.
• Current, hands‑on technical depth — able to profile data, write and review SQL personally, and author and assess data contracts and schemas.
• Demonstrated, productive use of AI in day‑to‑day data work — using AI tools fluently to accelerate investigation, documentation, and analysis, with the judgment to do so safely on governed data.
• Strong grasp of PII classification, masking, and role‑based access control, particularly as prerequisites for safe AI access to data.
• Experience leading data management and governance programs in the context of larger business and digital transformations.
• Ability to communicate standards, metrics, and trade‑offs clearly to senior leaders and to technical and business teams alike.
• 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.
• 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.

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.

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.

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