Sr. Manager, People Data

Company Description

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.

Job Description

This role can be based in Chicago, Mountain View, San Francisco, Carpinteria, New York, Detroit, Washington DC, Omaha, or remote within the US. 

At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers both hybrid and remote work options, meaning you can work from home and commute to a LinkedIn office, depending on what’s best for you and when it is important for your team to be together, or this role can be performed remotely in most locations in the United States. 

This role will be part of the People Analytics team within the Global Talent Organization (GTO) at LinkedIn. People Analytics analyzes current and prospective employee data to enable agility through better, faster talent decisions. This is a full-time role. 

Responsibilities:    

• Proven track record strategizing and coordinating the development of enterprise level data program heavily focused on self-service and multi-persona management. 

• Ability to translate current and future data needs in a technology roadmap. 

• Influence and collaborate on the global strategy for People Reporting at the enterprise level and establish scalable solutions to support end users 

• Ability to develop strong partnerships within the organization.   

• Coordinate the overall design of the ETL process, driving clean and actionable requirements while working with our Talent Engineering teams. 

• Stay relevant in technology trends that might be used to resolve complex business problems. 

• Build an architecture and monitoring mechanism in partnership with data governance across the data reporting landscape to have an always on sensing and response methodologies established 

• Negotiation skills to manage expectations with stakeholders at multiple levels and business functions within the organization.  

• Ability to design robust and enterprise level data models intended to address specific issues. 

• Deployment management – Ideate & establish framework for a continuous integration and deployment enabling optimal speed to market, ensure all prerequisites are met for any deployment in production.   

• Establish an operational model to prioritize and support ad-hoc data requests 

• Serve as the primary business owner that works with our Talent Engineering team to build, maintain and improve our people data tools and products 

• Bring critical thinking & problem-solving skills to a range of challenging problems.  

• Experience with managing development teams with varied skill sets and geographies.  

Qualifications

Basic Qualifications:     

• BA/BS degree or equivalent degree 

• 10+ years of IT/analytics experience  

• 5+ years of database design  

• 5+ years of work experience managing stakeholders and engineering teams.  

• 5+ years of work experience in a role that involves the generation of technology roadmap (that includes technical and capabilities components) 

• Experience driving Data Governance programs at scale 

Preferred Qualifications:     

• MBA or equivalent degree  

• Strong proficiency in SQL and ETL processes 

• 5+ years in multi-dimensional design  

• Experience in enterprise integration, primarily focused on HR systems (Visier, Workday, SmartRecruiters, CSOD, etc) 

• High proficiency in T-SQL  

• Coordinated the implementation of Data Science enterprise level programs.  

Suggested Skills: 

• Stakeholder Management 

• Data Analytics 

• Project Management 

LinkedIn is committed to fair and equitable compensation practices.    

The pay range for this role is $137,000 to $224,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limite