Lead the India-based Enterprise Data and AI Governance (EDAG) team, owning talent sourcing, onboarding, people leadership, and local execution aligned to enterprise priorities. Drive staffing, skill development, succession planning, cross-training, and operational resilience while partnering with onshore leaders and stakeholders to maintain governance capabilities and deliver trusted data and AI risk controls.
Description and Requirements
MGCC GG 13- Data Governance EDAG Director
Position Title:
MGCC GG 13- Data Governance EDAG Director
Function, Responsibility Level:
Reports to (Responsibility Level): GG 13 or above
Supervises:
GG 12.1
GG 12.2
GG 11.2
GG11.1
Location:
Global Grade: 13
Cost Center (85 series):
Complexity: OSTG
PID/s Load Mapping:
Position Summary
MetLife established a Global capability center (MGCC) in India to scale and mature Data & Analytics, technology and operations capabilities in a cost-effective manner and make MetLife future ready. The center is integral to Global Technology and Operations with a focus to protect & build MetLife IP, promote reusability and drive experimentation and innovation. The Data & Analytics team in India mirrors the Global D&A team with an objective to drive business value through trusted data, scaled capabilities, and actionable insights. The operating models consists of business aligned data officers- US, Japan and LatAm & Corporate functions enabled by enterprise COEs- data engineering, data governance and data science
Role Value Proposition:
As the MetLife Global Capability Center(MGCC)'s on-site leader for the Enterprise Data and AI Governance (EDAG) organization, this role is accountable for building and leading high-performing teams, driving talent acquisition, talent development & engagement, culture building, local execution in alignment with EDAG's objectives and priorities
Job Responsibilities
• Own end-to-end talent sourcing and hiring for the India-based workforce, including identifying needs, partnering with recruiting, interviewing candidates, and ensuring timely filling of open roles across employees and consultants.• Serve as the on-site leader and primary point of contact for the India-based workforce, ensuring the team is fully staffed, operationally strong, and closely aligned to enterprise priorities, values, and ways of working.• Act as a culture carrier who sets the tone for inclusive, collaborative behaviors and a high-performance mindset, while attracting and selecting talent that strengthens the team culture.• Provide day-to-day people leadership, guidance, and support to team members, including workload planning, removing obstacles, managing PTO coverage and communication, and escalating issues as needed to ensure continuity of service.• Partner closely with onshore leadership to forecast talent needs, align on skill requirements, and maintain clear visibility into hiring plans, staffing levels, and team performance across locations.• Lead onboarding and assimilation for new hires, ensuring smooth ramp-up, engagement, and productivity through intentional onboarding plans and ongoing connection to the broader organization.• Drive talent development by proactively identifying high-potential employees, investing in skill growth, and building and maintaining a strong, diverse succession pipeline to reduce dependency on single points of failure.• Ensure cross-training and back-up coverage for critical processes, using staffing and skill planning as a risk mitigation strategy to maintain operational resilience
Knowledge, Skills and Abilities
Education
Bachelor's degree in computer science, information technology or equivalent educational qualification
Technical Skills and Experience
• 16+ years of relevant experience across a combination of data governance, data quality, and/or AI governance capabilities-including business metadata, data quality controls and exception management, AI risk and ethics, data modeling, and related governance tools
• Working knowledge across a combination of data governance, data quality, and/or AI governance capabilities-including business metadata, data quality controls and exception management, AI risk and ethics, data modeling, and related governance tools. • Understanding of the Data & Analytics lifecycle and Agile delivery models.• Agile methodologies (Scrum, SAFe)• Experience operating in large, matrixed enterprise environments.• Analytical, structured problem-solving, written & verbal communication, and presentation skills.• Storytelling, partner, and senior stakeholder engagement experience
Good to Have (Preferred)
• Exposure to Gen AI, AI governance, or Responsible AI frameworks.• Agile tools such as Azure DevOps. • Banking, Financial Services, and Insurance domain experience.• Familiarity with DCAM or similar data management maturity frameworks.• Experience working with global or federated data governance models.
About MetLife
Recognized on Fortune magazine's list of the "World's Most Admired Companies" and Fortune World's 25 Best Workplaces™, MetLife, through its subsidiaries and affiliates, is one of the world's leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.
Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we're inspired to transform the next century in financial services. At MetLife, it's #AllTogetherPossible . Join us!
#BI-Hybrid
MGCC GG 13- Data Governance EDAG Director
Position Title:
MGCC GG 13- Data Governance EDAG Director
Function, Responsibility Level:
Reports to (Responsibility Level): GG 13 or above
Supervises:
GG 12.1
GG 12.2
GG 11.2
GG11.1
Location:
Global Grade: 13
Cost Center (85 series):
Complexity: OSTG
PID/s Load Mapping:
Position Summary
MetLife established a Global capability center (MGCC) in India to scale and mature Data & Analytics, technology and operations capabilities in a cost-effective manner and make MetLife future ready. The center is integral to Global Technology and Operations with a focus to protect & build MetLife IP, promote reusability and drive experimentation and innovation. The Data & Analytics team in India mirrors the Global D&A team with an objective to drive business value through trusted data, scaled capabilities, and actionable insights. The operating models consists of business aligned data officers- US, Japan and LatAm & Corporate functions enabled by enterprise COEs- data engineering, data governance and data science
Role Value Proposition:
As the MetLife Global Capability Center(MGCC)'s on-site leader for the Enterprise Data and AI Governance (EDAG) organization, this role is accountable for building and leading high-performing teams, driving talent acquisition, talent development & engagement, culture building, local execution in alignment with EDAG's objectives and priorities
Job Responsibilities
• Own end-to-end talent sourcing and hiring for the India-based workforce, including identifying needs, partnering with recruiting, interviewing candidates, and ensuring timely filling of open roles across employees and consultants.• Serve as the on-site leader and primary point of contact for the India-based workforce, ensuring the team is fully staffed, operationally strong, and closely aligned to enterprise priorities, values, and ways of working.• Act as a culture carrier who sets the tone for inclusive, collaborative behaviors and a high-performance mindset, while attracting and selecting talent that strengthens the team culture.• Provide day-to-day people leadership, guidance, and support to team members, including workload planning, removing obstacles, managing PTO coverage and communication, and escalating issues as needed to ensure continuity of service.• Partner closely with onshore leadership to forecast talent needs, align on skill requirements, and maintain clear visibility into hiring plans, staffing levels, and team performance across locations.• Lead onboarding and assimilation for new hires, ensuring smooth ramp-up, engagement, and productivity through intentional onboarding plans and ongoing connection to the broader organization.• Drive talent development by proactively identifying high-potential employees, investing in skill growth, and building and maintaining a strong, diverse succession pipeline to reduce dependency on single points of failure.• Ensure cross-training and back-up coverage for critical processes, using staffing and skill planning as a risk mitigation strategy to maintain operational resilience
Knowledge, Skills and Abilities
Education
Bachelor's degree in computer science, information technology or equivalent educational qualification
Technical Skills and Experience
• 16+ years of relevant experience across a combination of data governance, data quality, and/or AI governance capabilities-including business metadata, data quality controls and exception management, AI risk and ethics, data modeling, and related governance tools
• Working knowledge across a combination of data governance, data quality, and/or AI governance capabilities-including business metadata, data quality controls and exception management, AI risk and ethics, data modeling, and related governance tools. • Understanding of the Data & Analytics lifecycle and Agile delivery models.• Agile methodologies (Scrum, SAFe)• Experience operating in large, matrixed enterprise environments.• Analytical, structured problem-solving, written & verbal communication, and presentation skills.• Storytelling, partner, and senior stakeholder engagement experience
Good to Have (Preferred)
• Exposure to Gen AI, AI governance, or Responsible AI frameworks.• Agile tools such as Azure DevOps. • Banking, Financial Services, and Insurance domain experience.• Familiarity with DCAM or similar data management maturity frameworks.• Experience working with global or federated data governance models.
About MetLife
Recognized on Fortune magazine's list of the "World's Most Admired Companies" and Fortune World's 25 Best Workplaces™, MetLife, through its subsidiaries and affiliates, is one of the world's leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.
Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we're inspired to transform the next century in financial services. At MetLife, it's #AllTogetherPossible . Join us!
#BI-Hybrid
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