Director, People Systems, Data Engineering & Architecture
Director, People Systems, Data Engineering & Architecture
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Job Description
Role Summary
We are seeking a technically strong and strategically minded Head of People Systems Data Engineering & Architecture to lead the design development and governance of a modern HR data infrastructure. This leader will be responsible for the delivery of industry-leading data architecture and business intelligence engineering in support of HR decision science and reporting. This group will utilize cloud-based intelligent systems to collect distribute model and analyze disparate and diverse data assets of all sizes to automate insights and drive business performance.
In addition this role will play a critical part in laying the foundation for the responsible use of generative AI and large language models (LLMs) enabling advanced analytics natural language interactions and innovative AI-driven solutions that unlock new ways of working across HR.
You will build and lead a team of data engineers and collaborate closely with HRIS IT and the broader Workforce Analytics & Decision Science team to ensure that workforce data is clean complete and accessible while meeting all privacy compliance and security standards.
Key Responsibilities
Collaboratively design and execute business-focused strategies for BI infrastructure data and analytics ensuring delivery of data driven solutions (Azure Data Factory / Databricks / SQL Database Posit Connect).
Establish the data and technical foundation to enable responsible use of large language models (LLMs) and generative AI including data pipelines model integration frameworks and scalable infrastructure.
Implement governance security and ethical AI practices to ensure responsible use of sensitive HR data in LLM and AI initiatives
Partner closely with HR Ops IT cloud and cybersecurity teams to align on infrastructure standards ensure integration with corporate systems and maintain a secure resilient environment for HR data and AI initiatives.
Design and maintain scalable reliable ETL/ELT pipelines from critical ERP systems (e.g. Success Factors Workday LMS ATS survey tools (Qualtrics Perceptyx Glint).
Maintain data integrity lineage and timeliness across core HR data domains (e.g. employee org performance compensation development)
Work closely with People Analytics (AI/ML) Behavioral Science and Systems Design teams to ensure the data infrastructure enables modeling experimentation and workflow integration
Collaborate with the enterprise data engineering and HRIS teams to align tooling schemas and governance processes
Provide technical guidance and partnership to HRBPs COEs and business leaders as needed
Required Qualifications
STEM degree (Computer Science Engineering Information Systems/Management or closely related field to analytics & Business Intelligence)
6 years of experience in technologies and practice related to analytics/insights. Experience leading and working with cross-functional teams and communicating across organizations at all management levels
Experience with analytical tools supporting data analysis reporting and visualization (Tableau Power BI Shiny Streamlit)
Expertise in at least one programming language (Python R)
Experience with scripting and programming languages; SQL Python/Scala and/or JAVA
Experience working with cloud data platforms (e.g. Snowflake Databricks BigQuery or Azure Synapse)
Familiarity with HR systems like Workday SuccessFactors Greenhouse or Cornerstone
Deep understanding of data privacy security and governance practices
Exposure to designing or supporting machine learning or generative AI solutions with familiarity in large language model (LLM) frameworks and tools (e.g. Ollama Hugging Face OpenAI APIs Azure OpenAI).
Strong understanding of how to prepare govern and secure data for AI/ML applications particularly when working with sensitive or regulated data such as HR data.
Preferred Qualifications
Prior exposure to supporting data science or experimentation teams
Understanding of ML Ops and real-time data pipelines
Experience in HR data governance and management
Ability to frame up simplify and translate complex problems find root causes and hidden problems. Able to think holistically to understand the broader implications of a modern BI landscape
Able to foster strong business relationships with partners across all enterprise functions
Able to successfully influence and interact with partners at all levels
Strong collaboration and communication (written & oral) skills
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
Employment Type
Full-Time
