Ref#: R0023387

Our mission.

As the world’s number 1 job site, our mission is to help people get jobs. We need talented, passionate people working together to make this happen. We are looking to grow our teams with people who share our energy and enthusiasm for creating the best experience for job seekers.

The team.

We are a rapidly growing and highly capable engineering team building the most popular job site on the planet. Every month, over 250 million people count on us to help them find jobs, publish their resumes, process their job applications, and connect them to qualified candidates for their job openings. With engineering hubs in Seattle, San Francisco, Austin, Tokyo and Hyderabad, we are improving people's lives all around the world, one job at a time.

The base salary range below represents the low and high end of the Indeed salary range for this position. Actual salaries will vary and may be above or below the range based on various factors including but not limited to location, experience, and performance. The range listed is just one component of Indeed's total compensation package for employees. Other rewards include quarterly bonuses, Long Term Incentive Plan units, an open Paid Time Off policy, and many region-specific benefits.

Austin Base Salary Range: 113,000 - 145,000 USD per year

Your job.

As a Data Governance Manager at Indeed, you will have a direct impact on the business by helping our growing Data Governance team define, develop, and maintain business processes for successful data governance and quality within Indeed.  You want to be in the mix technically while providing leadership to your team.  You have successfully led and earned the respect of talented analysts and delivered on challenging technical solutions.   You understand that the best managers serve their teams, removing roadblocks and giving individual contributors autonomy and ownership.  As our organization grows, you will help ensure we keep the talent bar high, and grow the skills and capabilities of our team. 


  • Provide team leadership and management for Indeed’s Data Governance Analysts 

  • Develop detailed knowledge of Indeed’s data, data flows, and processes 

  • Help define the data management vision and identify opportunities and processes to ensure Indeed’s data is accurate, reliable, available, accessible, and secure 

  • Work closely with stakeholders to design solutions that meet their needs, while making sure the priorities for your team are properly aligned to business needs

  • Guide team to develop and implement simple, sustainable solutions, standards, policies, and procedures that minimize data-related risks

  • Empower members of your team to grow their skills and advance their career goals

About you.

Qualifications and Requirements: 

  • 2+ years leading analyst teams (of 3+ team members)

  • 3+ years work experience in data governance/management related role collaborating with different parts of the organization; emphasis on developing and implementing data standards, policies, practices, and procedures that lead to substantive improvements in data integrity 

  • Master’s Degree (or a B.S. degree with relevant industry experience) in math, statistics, computer science, or equivalent technical field

  • Enthusiasm for helping team members improve their skills and grow their careers

  • Exceptional stakeholder management skills

  • Experience leading service-oriented, large-scale projects involving multiple teams or divisions; able to influence other teams and stakeholders without authority

  • Comfortable working through ambiguous situations to define precise requirements and priorities and drive outcomes

  • Strong process development, planning, tracking and presentation skills

  • Attention to detail, and sense of urgency, and commitment to deadlines 

  • Strong organizational skills and demonstrated capacity to develop and implement practical strategies, plans and solutions to identified issues and problems 

  • Strong analytical skills with the ability to identify quantify and effectively raise business risks associated with data quality or non-compliance

  • Familiarity with languages such as SQL, Python and/or Java

What we'd love to see (but isn't required): 

  • Command of data related government regulatory requirements (GDPR, CCPA), including emerging

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