Director - Data Governance

MetLife; Dadri; Hybrid; INR 5,000,000 - 7,000,000; Full time

Job summary

MetLife's Global Capability Center in India seeks an on-site EDAG Director to lead Enterprise Data and AI Governance, drive talent strategy, and align with global priorities. You will build and guide high-performing teams, oversee hiring, and ensure operational excellence across India-based staff.

This role requires 16+ years in data governance, data quality, or AI governance, deep knowledge of data lifecycle, and experience with Agile delivery in large enterprises.

Qualifications

• Bachelor's degree in computer science, information technology or equivalent

Responsibilities

• Own end-to-end talent sourcing and hiring for India-based workforce.
• Serve as the on-site leader and primary point of contact for the India-based workforce, ensuring the team is fully staffed and aligned to priorities.
• Provide day-to-day people leadership, guidance, workload planning, and PTO coverage.
• Forecast talent needs with onshore leadership and maintain visibility into hiring plans and team performance.
• Lead onboarding and assimilation for new hires to ensure smooth ramp-up and productivity.
• Drive talent development by identifying high-potential employees and building a strong succession pipeline.
• Ensure cross-training and back-up coverage to maintain operational resilience.

Skills

Talent acquisition

People leadership

Stakeholder management

Hiring strategy

Education

Bachelor's degree in CS/IT

Job description

LocationHyderabad, Telangana

Full-Time

Hybrid

No

11-Jun-2026

18263

MGCC GG 13 Data Governance EDAG Director Position Title:MGCC GG 13 Data Governance EDAG DirectorFunction, Responsibility Level: Reports to (Responsibility Level): GG 13 or above Supervises: GG 12.1 GG 12.2 GG 11.2GG11.1 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 EducationBachelors 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 capabilitiesincluding 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 capabilitiesincluding 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 problemsolving, written & .