Job Application for Sr. Data Governance Engineer at BambooHR

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Please Note: This is a Utah-based hybrid position which will require some regular in-office days each week. Additionally, employment with BambooHR is contingent on passing both a background and credit check.

AI at BambooHR

At BambooHR, we’re all about setting people free to do great work, and we believe AI is a powerful partner in that mission. We’re leaning into intelligent tools to streamline our workflows, giving us more time for high-impact innovation. We look for curious, forward-thinking people who are ready to explore how AI can elevate their work and help us reimagine the future of HR.

Essential Job Duties

At BambooHR, we’re building a world where data helps people do their best work. As we continue to grow our data platform and AI capabilities, we’re looking for a Senior Data Governance Analyst to help ensure our data is trusted, well-defined, and ready to power better decisions across the company. If you enjoy solving messy data problems, bringing clarity to complexity, and helping teams use data the right way—this role is for you.

You’ll be a key part of our Data Governance team, helping us scale how we manage, define, and use data across BambooHR.

You will:

Make Data More Trusted
- Identify and help resolve data quality issues across systems
- Facilitate change control reviews to protect key data pathways
- Analyze and validate data to ensure it’s accurate, complete, and consistent
- Build AI agents to certified data assets
Help Define “One Version of the Truth”
- Partner with teams across the business to define and document key metrics and KPIs
- Support our data certification efforts so teams can rely on consistent, trusted data
- Help align reporting, dashboards, and semantic models to shared definitions

Improve Data Discoverability
- Contribute to our data catalog and KPI library hosted in Open MetaData
- Assist in the administration of data asset management tools and systems
- Document data definitions, lineage, and ownership
- Add context and annotations to make data easier to find, understand, and unlock AI use cases
Support Data Governance Across the Company
- Work with data stewards, business leaders, and technical teams to apply governance standards
- Help scale governance practices across departments through data committees
- Partner with Legal and InfoSec to ensure proper handling and protection of PII and sensitive data
- Manage relationships with business, product, and engineering data owners
- Partner with enterprise application owners to drive improvements to data sources, ensuring more accurate and reliable data
Help Govern AI & Data-Powered Experiences
- Support governance for AI-driven tools like data assistants, copilots, and agentic AI
- Help ensure AI systems use the right data, in the right way, with proper controls
- Contribute to processes that make AI outputs more transparent, traceable, and trustworthy
- Partner with platform and AI teams to align on responsible data usage

What Success Looks Like

Teams trust the data they’re using to make decisions
Key metrics are clearly defined and consistently used
Data is easier to find, understand, and use across the company
Data quality issues are identified and resolved quickly
AI-powered tools connect seamlessly with trusted data sources with proper guardrails

What You Need to Get the Job Done

5+ years of experience in data governance, data analytics, or related roles
Strong SQL skills and experience working directly with data
Experience improving data quality and working with large datasets
Familiarity with data platforms (data warehouse, lakehouse, etc.)
Familiarity with common enterprise applications and associated data domains
Understanding of how metrics, reporting, and self-service analytics work
Ability to communicate clearly and collaborate across teams
B.S./M.S. in Computer Science, Information Systems, Business Analytics or related field

What Will Make Us REALLY Love You

Experience with data governance tools (i.e. Open Metadata, Collibra, Atlan, Informatica)
Familiarity with Databricks, DBT, Snowflake, Claude code, Codex, Windsurfer
Experience with data lineage, observability, or data quality tools
Exposure to AI/ML systems or data products powered by AI
Knowledge of data privacy and compliance requirements (GDPR, CCPA, etc.)

What You'll Love About Us

A Great Company Culture that has been recognized by multiple organizations like Inc, and Salt Lake Tribune
Comprehensive health, life, and disability insurance
Generous leave policies that include 4 weeks of vacation, 12 company holidays, parental leave, and volunteer time off so you can enjoy quality of life
401k plans with up to 6% company match
$2000 Paid-Paid Vacation bonus
EAP through Headspace
Check out all our benefits that benefit you

About Us

At BambooHR, we're building something different: we're building a people intelligence platform that transforms HR and sets people free to do great work! We're a proven market leader driving innovation while building lasting success through thoughtful, sustainable growth. Here, you'll find a place that champions growth: both professional and personal, both individual and collective.

We invest in potential, giving you the space to stretch your capabilities and turn good ideas into reality while providing the safety net of a supportive, values-driven culture. Our approach combines meaningful work with meaningful lives, offering competitive benefits, professional development, and the flexibility to thrive both in and outside the office.

What sets us apart isn't just what we do, but how we do it: with openness, integrity, and a shared commitment to doing the right thing. Join us in creating HR software that makes work better for everyone, while we make work better for you.

BambooHR is committed to the full inclusion of all qualified individuals and will ensure that persons with disabilities are provided reasonable accommodations throughout the hiring process. If you would like to request accommodations, please let your recruiter know.

BambooHR is An Equal Opportunity Employer--M/F/D/V
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