Overview
Are you looking to be in a workplace where colleagues inspire one another? Are you interested in competitive and impactful benefits? Do you prefer a hybrid work model and flexible work arrangements?
The People Data Science (PDS) team is essential to the success of a Talent First organization. The team are strategic consultants, engineers and operators within the business, using its expertise in data engineering, data science, business intelligence and workforce planning to guide insights and automation.
The Senior Manager, People Data Science will develop the team responsible for driving talent insights, supporting workflow automation across HR operations, combining workforce planning data, and conducting meaningful people research to frame people decisions throughout the organization. The Manager will co-create the people data science vision and operational strategy to include data-driven business intelligence for HR and team members, workforce planning insights and data management, ensuring HR workflow automation and conducting primary and secondary research projects.
The Senior Manager, People Data Science will partner with FP&A, IT, other HR functions and data science teams across the organization to implement planning, insights delivery and evolve Relativity's data science capabilities.
Your Role in Action

• Manage technically experienced team focused on several operating areas: workforce planning, business intelligence, automation and research
• Lead and guide the creation and delivery of an internal data product that uses automated data workflows and direct data entry information to support strategic workforce planning and forecasting, and other HR and business processes interdependent on the workforce data
• Create the design, generation and publication of talent dashboards, recurring visualizations and executive/Board level strategy decks
• Oversee regular deployment and synthesis of engagement and multiple other people surveys across HR
• Promote scale and optimization of HR processes by conducting automation projects across the department's operations
• Conduct primary and secondary research projects and statistical analyses to identify organizational metrics that can be linked to solutions

Your Skills

• 3 years relevant experience in people analytics or data science
• Experience with data science relevant programming languages (e.g. Python, SQL, R, Scala)
• Coach and teacher of new practices in data science and people analytics
• Data storytelling and visualization skills to help frame our decisions with information outputs that lead to applicable solutions
• Working knowledge of the following (or similar combination of) data platforms: Culture Amp, Workday, Tableau, Azure
• Anticipate questions, think ahead, plan for contingencies, and find alternative/practical solutions when ideal solutions are not possible
• Experience creating and deploying internal data products/services for partners
• Experience with several statistical analysis techniques, workforce planning oriented data sets and visualization tools

About Relativity
#LI-MA1
#LI-Remote
Relativity is a team of passionate people always looking to grow and make our product and customer service the best it can be. Our team members come from diverse backgrounds with different skills and life experiences-and we love and celebrate those differences. We believe that employees are happiest when they're empowered to be their full, authentic selves, regardless how you identify.
So, please come as you are. We can't wait to meet you.
Benefit Highlights:
Comprehensive health, dental, and vision plans
Parental leave for primary and secondary caregivers
Flexible work arrangements
Two, week-long company breaks per year
Unlimited time off
Equity program
Training investment program
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.