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Director - Data Governance

MetLife -
Hyderabad, Telangana

Apply Now

Job details

Full-time
1 day ago

Benefits

Paid time off

Qualifications

BCS
SAFe
Azure
Computer Science
Bachelor's degree
Data management
HR sourcing
Scrum
Agile
Data science
AI
Communication skills
Analytics
Information Technology

Full job description

General Information

Location

Hyderabad, Telangana

Working Schedule

Full-Time

Work Arrangement

Hybrid

Relocation Assistance Available

Posted Date

11-Jun-2026

Job ID

18263

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!

Apply Now

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