Role Summary
We are seeking a forward-thinking and technically fluent Director of People Analytics (AI/ML) & Products to lead our centralized people analytics and modeling function. This role is responsible for delivering core HR insights developing user friendly decision support systems and operationalizing machine learning models that: (1) help shape workforce strategy (2) improve decision quality across the employee lifecycle and (3) drive continuous improvement in process automation and workforce design.
This leader will build and manage a multidisciplinary team of people analysts and decision scientists. They will own the end-to-end lifecycle of data-driven products from exploratory analysis to predictive modeling and GenAI/ Agentic AI development ensuring insights are not only generated but also embedded into the daily decisions of HR and business leaders.
Key Responsibilities
Lead development of HR dashboards workforce metrics and data visualization tools
Establish a centralized KPI framework aligned to organizational talent priorities and business strategy
Support HRBPs and COEs with scalable reusable analytics solutions and self-service tools
Collaborate with Data Engineering to maintain clean model-ready HR datasets
Lead creation of AI/ML-powered decision tools that support talent engagement and workforce planning
Ensure models are ethical explainable auditable and aligned with company values and compliance standards
Partner with behavioral science and workforce systems design teams to embed models into HR core processes and respective business workflows
Translate complex analyses and model outputs into actionable guidance for HR and People Leaders
Build trust and data fluency across HR through enablement sessions insight briefings and modeling playbooks
Establish and evolve technical and governance standards for the people analytics function
Publish internal white papers research briefs and frameworks that shape organizational thinking
Required Qualifications
STEM Masters Degree (Data Science Math Operations Research Economics Statistics)
6 years in analytics data science or decision science with experience managing a technical team
Deep fluency in descriptive and predictive analytics machine learning (supervised and unsupervised) and statistical modeling.
Experience developing decision support applications leveraging Generative AI and/ or Agentic AI solutions
Technical proficiency in Python and/ or R
4 years of Shiny App development and deployment including experience using CSS and HTML
Ability to translate between technical teams and business stakeholders
Understanding of fairness transparency and data ethics in HR analytics
Preferred Qualifications
Experience applying AI/ML in talent-related contexts (e.g. attrition modeling talent segmentation workforce forecasting attrition risk predictions )
Familiarity with MLOps principles and model lifecycle governance
Prior experience in a high-growth data-driven organization or consulting environment
Strong understanding of HR data systems and related HR tech stack
Track record of solving problems requiring systems thinking and a continuous improvement mindset (Lean Six Sigma Kaizen).
Johnson Controls International plc. is an equal employment opportunity and affirmative action employer and all qualified applicants will receive consideration for employment without regard to race color religion sex national origin age protected veteran status genetic information sexual orientation gender identity status as a qualified individual with a disability or any other characteristic protected by law. To view more information about your equal opportunity and non-discrimination rights as a candidate visit EEO is the Law. If you are an individual with a disability and you require an accommodation during the application process please visit here.
Required Experience:
Director
At Johnson Controls (NYSE:JCI) we transform the environments where people live, work, learn and play. As the global leader in smart, healthy and sustainable buildings, our mission is to reimagine the performance of buildings to serve people, places and the planet. With a history of mo ... View more