Associate Director, Data Governance Enablement

About Us

Johnson Controls, a global leader in thermal management, mission-critical building systems, energy efficiency, and decarbonization, helps customers use energy more productively, reduce carbon emissions, and operate with the precision and resilience required in rapidly expanding industries such as data centers, healthcare, pharmaceuticals, advanced manufacturing, and higher education.

For more than 140 years, Johnson Controls has delivered performance where it really matters. Backed by advanced technology, lifecycle services and an industry-leading field organization, we elevate customer performance, turn goals into real-world results and help move society forward.

Position Summary

The Data Governance Enablement Leader owns the strategy for how Johnson Controls governs its data. This role carries the governance assessment and playbook forward from findings into an operating reality, setting both the standards and the operating model that define how data is owned, managed, and trusted across the enterprise.

This is an influence role, not a delivery role. The standards are set here; execution sits with the Data Platform, Engineering, and Architecture teams, and this role partners with them closely to make the model real without taking over their work. Success depends on adoption, which means the person in this seat spends as much time building buy-in as building frameworks.

That advocacy runs in two directions. Inside DA&AI, the role builds a governance culture where good data practice is a default rather than a checkpoint. Across the business, it recruits and energizes the data owners and functional leaders whose participation the model depends on, and drives the change management that our assessment identified as the missing ingredient.

The role also keeps us moving forward on capability, guiding governance tooling decisions and pushing where governance can be done better than it is today, including applying AI to master data management, stewardship, and data quality.

Key Responsibilities

Core Responsibilities

• Governance strategy. Carry the governance assessment and playbook forward into a sequenced roadmap, and own the strategic direction and accountability of the program.

• Operating model and standards. Use playbook to define how DA&AI governs data: business data owner and steward roles, domain forums, decision rights, and the standards covering ownership, quality, classification, metadata, and lifecycle.

• Execution partnership. Work with Data Platform, Engineering, and Architecture to translate standards into implementation, and hold to committed outcomes without owning delivery.

• Governance culture within DA&AI. Make governance a default behavior across the organization through training, reusable artifacts, and consistent internal advocacy.

• Business influence and change management. Serve as the visible champion for governance across the business. Recruit data owners, build buy-in with functional leaders, and drive the adoption the model depends on.

• Tooling and innovation. Guide governance tooling decisions, including Microsoft Purview, and push new capability such as applying AI to master data management, stewardship, and data quality.

• Measurement and reporting. Define what good governance looks like quantitatively and report progress to organizational and executive audiences.

• AI governance alignment. Partner with the AI Enablement Leader, security, legal, and compliance so AI extends the enterprise data governance model.

• People leadership. Build and develop the governance team as the program scales, and mentor stewards and data owners outside the reporting line.

Success Profile — What Does Success Look Like at 12 Months?

The governance playbook is in force rather than on a shelf, with named…