Head of Data Management & Strategy

Head of Data Management & Strategy

Who We Are

At Corebridge Financial, we believe action is everything. That’s why every day we partner with financial professionals and institutions to make it possible for more people to take action in their financial lives, for today and tomorrow.

We align to a set of Values that are the core pillars that define our culture and help bring our brand purpose to life:

• We are stronger as one: We collaborate across the enterprise, scale what works and act decisively for our customers and partners
• We deliver on commitments: We are accountable, empower each other and go above and beyond for our stakeholders
• We learn, improve and innovate: We get better each day by challenging the status quo and equipping ourselves for the future
• We are inclusive: We embrace different perspectives, enabling our colleagues to make an impact and bring their whole selves to work

Who You’ll Work With

The Chief Data Office consists of the Advanced Practices Unit, Advanced Analytics COE, and Enterprise Data Management and Strategy teams. We are seeking a Head of Data Management and Strategy to oversee all aspect of Corebridge Financial’s data management practices, including developing and executing the overall data and artificial intelligence (AI) strategy, ensuring data quality, implementing data governance policies, and utilizing data to drive value and improved business outcomes across business units and functions.

About The Role

Reporting to the Chief Data Officer, the Head of Enterprise Data Management and Strategy will play a critical role in integrating our core data and analytics, and partnering with key internal and external stakeholders.

What You’ll Do

• Develop and Execute Corebridge’s Data and AI strategy: Create an enterprise data and AI strategy that is aligned with business goals and organizational timeframes. 
• Drive Enterprise Data Governance Adoption: Lead Corebridge’s enterprise data governance efforts to establish appropriate policies and procedures to ensure data quality, accuracy, security, and compliance. 
• Implement a Future Ready Data and AI Architecture: Partner with technology to oversee the design and implementation of Corebridge’s data and AI infrastructure inclusive of tools, technology, etc.
• Build Data Product Management as a Core Competency: Generate value by developing, managing, and improving data products from conception to implementation and beyond. 
• Facilitate Change Management and Value Realization: Ensure that we bring the organization along the data and AI transformation journey, while realizing value from the investments we make.
• Establish a Data-Driven Culture: Be a data culture carrier that aligns Corebridge’s data aspirations with strategic business objectives, fostering an environment where data underpins all facets of decision-making and curiosity.
• Engage and Manage Key Stakeholders: Drive informed decision making and incubate internal networks by effectively communicating to both technical and non-technical stakeholders.
• Apply an External Orientation: Proactively seek out emerging industry trends and create analysis frameworks to effectively answer strategic questions that inform growth strategies.
• Develop the Next Generation of Talent: Recruit, retain, and grow data talent that balances technology, data, analytics, and business expertise.

Please note this is not an exhaustive list of all responsibilities of the position, and the requirements of the job may change in line with business needs.

Skills and Qualifications

• 15+ years of related experience in senior leadership role driving data and analytics solutions.
• Communication: strong verbal and written communication skills with the ability to translate complex technical concepts into clear, compelling messages for stakeholders.
• Strong Analytical Thinking & Problem Solver: Ability to breakdown complex issues into smaller addressable solutions; can take a strategic point of view in formulating actions and solutions.
• Forward Thinking: Demonstrates the ability to stay updated on data trends and generative AI capabilities, which can enhance the organization’s long-term success.
• Change Leadership: Demonstrates execution on