Leader, Data Quality & Governance

About Tundra Technical Solutions

Since 2004, Tundra’s mission to become the world’s number one choice for top talent has been relentless. As we thrive in dynamic markets like North America, the UK, Ireland, and Asia, our commitment to global growth has set us apart as a visionary leader in talent recruitment and total talent management.

We challenge norms, exceed expectations, and are dedicated to sourcing top-tier talent for some of the world’s most renowned brands. Our pioneering approach to Direct Source Curation consistently ranks us among North America’s fastest-growing and largest staffing organizations.

In the previous year, LinkedIn recognized Tundra as the Diversity Champion in the staffing industry and praised us as the most engaging recruitment brand on the platform.

Why Choose Tundra?

Financial Success – We pride ourselves on being a leader in the industry regarding our compensation and uncapped commission structures.
People-Centric Culture – being in the business of people, we ensure our Associates work in an environment where they can deliver results and have professional success.
Continued Professional Development – tailored GTM and Leadership development courses to support your career growth here at Tundra.
Endless Growth Opportunities – the success of Tundra has been built on internal progression across the organization.
Social Responsibility – at Tundra, we pride ourselves in our ability to influence change, whether it be the work from the DEIB Council, give-back initiatives, or our green programs.
Rewards and Perks – Competitive health and financial benefits, Associate events, recognition programs, and employee loyalty programs are a few of the perks available at Tundra.

Join Our Team

We are on the hunt for talented individuals passionate about a results-driven career and committed to providing exceptional service to our clients and candidates within the public sector space.

The Role

Tundra is undergoing a significant transformation of its data infrastructure – consolidating data across multiple enterprise systems of record into a single unified repository, and building AI-native reporting and intelligence capabilities to support decision-making across the business.

As part of this initiative, we are hiring a Leader, Data Quality & Governance to own the integrity of our data foundation. This role is central to the success of the broader data modernization program. You will lead a small team of data quality analysts, establish governance frameworks and standards, and work closely with our data and engineering leadership to help build the intelligent data layer that will power reporting, forecasting, and AI-driven workflows across the business.

This is a high-visibility role with direct exposure to senior leadership and the opportunity to shape how Tundra uses data as a strategic asset.

Focus Data Quality Ownership

Define and enforce data quality standards across all source systems and the unified data repository
Transition the team away from manual, row-by-row review processes toward AI-assisted and automated data quality monitoring
Build and maintain data quality scorecards, dashboards, and alerting pipelines
Identify root causes of data issues and work cross-functionally to resolve them at the source
Own the collaboration with the Enterprise Technology team and the AI & Innovation team for any solutions that can augment the overall data quality and the maintenance

Governance & Compliance

Develop and maintain Tundra’s data governance framework — including data ownership, definitions, lineage, and access policies
Establish and document data standards for key business entities across staffing, payroll, and direct sourcing functions
Support internal compliance and certification requirements as they relate to data handling and governance
Partner with legal, operations, and finance to ensure data handling aligns with regulatory requirements

Platform & Tooling

Serve as the internal subject matter expert for Workday Adaptive Planning as it relates to data integrity and feed quality
Collaborate with the engineering team on data pipelines, transformation logic, and integration points across enterprise source systems
Support BI reporting infrastructure with clean, well-governed data models (Power BI experience an asset)
Contribute to the development of our internal AI-powered data intelligence platform

Team Leadership

Lead and develop a team of data quality analysts
Set priorities, manage workloads, and create a clear development path for team members
Foster a culture of automation-first thinking — identifying where AI and tooling can replace manual effort
Act as a bridge between the data quality team and the broader data and engineering function
You will have the opportunity to apply your data solution framework to various industry sectors

Who You Are

Required

5+ years of experience in data quality, data governance, or data management roles
Demonstrated experience building or modernizing a data quality function – not just maintaining one
Hands-on experience with Workday Adaptive Planning, specifically as it relates to data feeds, integrations, and reconciliation
Ability to work with Power BI for data modeling, DAX, and reporting.
Experience working across multiple enterprise systems (ATS, ERP, HRIS, or similar)
Comfortable using AI tools in day-to-day work – whether for data profiling, anomaly detection, documentation, or workflow automation
People management experience – you’ve led a small team and know how to develop analysts
Strong communicator who can translate data quality issues into business impact for non-technical stakeholders

Must-Haves

Strong proficiency in SQL and familiarity with data pipeline concepts (ETL/ELT)
Experience with ETL/ELT pipelines
Experience across multiple enterprise systems (ATS, ERP, HRIS, etc.)
Knowledge of data governance frameworks (DAMA-DMBOK or similar)
Experience using AI tools for data quality/automation

Nice-to-Haves

Experience in staffing / workforce / professional services domain
Experience with data quality tools (e.g., Great Expectations, Monte Carlo, Soda)
Experience with Azure data platforms (ADF, Synapse, Fabric, etc.)
Exposure to data mesh or modern data architectures
Exposure to vector databases, RAG, or AI data pipelines
Experience in high-growth or transformation environments

The base salary range that the employer in good faith reasonably expects to pay for this position is $105,000 – $130,000.

Our benefits offering includes medical, dental, vision and retirement benefits.

This post is for an existing vacancy.

We use artificial intelligence tools to help our recruiters screen and assess talent. These tools do not replace human decision making in the process.

At Tundra, we are dedicated to building an inclusive and authentic workplace. If you’re excited about this role but your experience doesn’t perfectly match every qualification in the job description, we encourage you to apply anyway. You may be the right candidate for this or other roles within the organization.

Not interested in this position, but do you know somebody who might be? Check out our Referral Reward Program , referrals are a big secret behind our success. As always, we’re on the lookout for great people. We know that you know great people. Click on ‘Tell a Friend’ option to refer a friend.