$ cat jobs/sr-manager-people-data-governance-linkedin3-98a1fdf2de8a.json
Sr. Manager, People Data Governance
LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun – where everyone can succeed. Join us to transform the way the world works. This role will be based in Bellevue, Chicago, Carpinteria, Detroit, New York City, Omaha, Sunnyvale, San Francisco, or Washington, D.C At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. At LinkedIn, our People Analytics team empowers leaders to make better, faster, and more informed workforce decisions through trusted data, scalable reporting, and actionable insights. We partner across Human Resources, Talent Acquisition, HR Technology, Finance, and business leadership to build data products and analytics solutions that improve the employee experience and drive business outcomes. We are seeking a Senior Manager, People Data Governance to lead enterprise data governance efforts across the People Analytics ecosystem. This role will be responsible for developing governance strategies, establishing operating frameworks, and driving adoption of standards that ensure people data is trusted, secure, compliant, and ready to support reporting, analytics, automation, and AI-enabled capabilities. The role will partner closely with HR Technology, Data Engineering, Privacy, Security, Legal, and business stakeholders to improve data quality, stewardship, accessibili
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