Senior People Scientist, Talent Management

StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels.

What you'll be doing:

• Take end-to-end ownership to design, manage, and continuously improve company-wide talent programs including the bi-annual engagement survey, performance review cycles, and job architecture initiatives
• Build measurement frameworks that assess what matters most:  performance quality, manager effectiveness, and employee engagement, using sound psychometric and statistical methods.
• Build or improve internal lightweight apps, dashboards, and AI agents using low-code AI-assisted tooling to turn people data into scalable, accessible insights for leaders
• Establish a working cadence with key cross-functional partners (PBPs, People Analytics, Total Rewards) and senior stakeholders to translate complex data into clear, actionable recommendations that inform overall people strategy.
• Identify areas of opportunity for automation of workflows, and serve as the human-in-the-loop for AI agents. Oversee, validate, and maintain those outputs to ensure reliability, trust, and a measurable reduction in errors or manual interventions.
• Navigate and manage people data and research ethics considerations to ensure we are responsibly building

What You'll Bring to the Table:

• Advanced degree (MSc or PhD) in I/O Psychology, Organizational Behaviour, Social Psychology, Human Factors, Behavioural Science, or a related quantitative field — or equivalent applied depth.
• Fluency in experimental design, psychometrics, survey methodology, and inferential statistics — with the ability to apply these in a fast-moving, applied setting.
• Proven track record of taking ownership of active program cycles end-to-end, revisiting assumptions with data, and optimizing processes to deliver programs on time with high participation rates.
• Ability to use AI and low-code tools to ship self-serve dashboards, lightweight apps, and agents that make people data accessible and drive measurable stakeholder adoption.
• Strong stakeholder communication skills and demonstrated ability to build working cadences across cross-functional partners (PBPs, People Analytics, Total Rewards) to translate complex findings into clear narratives for senior leaders.
• Comfort working with data and building reproducible analyses; SQL and/or Python knowledge is a strong asset, along with an aptitude for maintaining AI oversight and workflow automation.
• Strong stakeholder communication skills — able to translate complex findings into clear narratives for senior leaders and cross-functional partners