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Lead - Data Governance

AxisMaxlife -
Remote

Apply Now

Job details

1 day ago

Qualifications

BCS
Data modeling
Computer Science
Master's degree
SQL
AWS
Bachelor's degree
Data management
Financial services
Data science
Metadata
Communication skills
Data Science
AWS Certified Solutions Architect – Professional
Identity & access management
Analytics

Full job description

About Axis Max Life

Axis Max Life Insurance Limited, formerly known as Max Life Insurance Company Ltd., is a joint venture between Max Financial Services Limited (“MFSL”) and Axis Bank Limited.

Axis Max Life Insurance offers comprehensive protection and long-term savings life insurance solutions through its multi-channel distribution, including agency and third-party distribution partners. It has built its operations over two decades through a need-based sales process, a customer-centric approach to engagement and service delivery, and a well-trained human capital.

Axis Max Life has been consistently ranked among the best workplaces by the GPTW Institute, reflecting its commitment to creating a positive and empowering work environment.

#ComeAsYouAre LGBTQIA+ and PwD candidates of all ages are encouraged to apply

Job Description

Position

Lead Data Governance

Positions

Department

Data Engineering

Department

Data Engineering

Reporting to

Head of Data Engineering

Reporting to

Head of Data Engineering

Location

Gurgaon

Location

Gurgaon

JOB SUMMARY:

We are seeking an experienced Data Governance Lead to establish, mature, and continuously evolve the enterprise data governance function at Axis Max Life Insurance. This role owns the long-term governance vision — building a framework that scales with the organization’s data footprint as new domains, data products, and analytical use cases emerge.

The role operates at the intersection of business and technology — partnering with Data Owners (senior business stakeholders), Data Stewards (business teams), and Data Custodians (Data Engineering and Platform teams) to ensure data assets are governed, discoverable, trusted, and compliant with applicable data protection and insurance regulations.

This is a hands-on leadership role. The incumbent will define and continuously refine the governance operating model, chair governance councils and working groups, select and implement governance tooling appropriate to the organization’s maturity, and drive sustained adoption across the enterprise.

KEY RESPONSIBILITIES:

Governance Vision, Framework & Strategy

Define and own the long-term enterprise data governance vision and multi-year roadmap aligned to business strategy

Design the governance framework covering ownership, stewardship, catalog, lineage, data quality, and access control

Establish and chair the Data Governance Council — setting agenda, cadence, decision rights, and escalation paths

Own the governance maturity model and scorecard; report progress to executive leadership and the Board on a regular cadence

Data Ownership & Stewardship

Identify and onboard Data Owners and Data Stewards across all data domains as they emerge and evolve

Define RACI for core governance activities — catalog maintenance, DQ remediation, access reviews, KPI changes, regulatory response

Drive active accountability — ensure owners and stewards are governing in practice, not just in name

KPI Registry & Golden Definitions

Build and maintain the enterprise KPI registry covering base and derived KPIs

Govern KPI definition and formula changes — impact assessment, approval workflow, and version control

Ensure cross-domain derived KPIs have clear ownership, input contracts, and reconciliation rules

Data Catalog & Lineage

Select, implement, and continuously evolve the enterprise data catalog appropriate to current and future scale

Drive cataloguing of data products with complete and accurate metadata

Establish end-to-end data lineage — from source ingestion through transformation to consumption

Data Quality

Define minimum data quality standards per domain covering completeness, uniqueness, validity, timeliness, and consistency

Establish automated DQ checks integrated into the data pipeline lifecycle

Build DQ dashboards and proactive alerting — detection ahead of business impact, not after

Access Control & Regulatory Compliance

Define and operationalize role-based and attribute-based access control aligned to data sensitivity classification

Drive periodic access reviews and certification — ensure least-privilege access is sustained over time

Maintain audit-ready evidence packs for applicable data protection and insurance regulatory requirements

Respond to internal audit and regulatory observations; drive closure and continuous improvement

Adoption, Enablement & Change Management

Design and deliver governance onboarding and continuous enablement for Data Owners and Stewards

Create governance playbooks, templates, and self-service documentation that scale with organizational growth

Track adoption metrics — catalog usage, DQ coverage, access review completion, stewardship activity

Key Technical competencies/skills required

Data Governance & Frameworks

Deep understanding of industry data governance frameworks (DAMA DMBOK, DCAM, or equivalent)

Experience implementing data ownership, stewardship, and operating models at enterprise scale

Working knowledge of data protection regulations and insurance sector regulatory requirements

Cloud Data Platform (AWS Preferred)

Hands-on experience with cloud-native data platform services for cataloging, storage, processing, and analytics

Understanding of identity and access management, resource-based policies, column-level security, and tag-based access control

Experience leveraging audit logging services for compliance evidence and governance telemetry

Data Quality & Observability

Experience with data quality frameworks and the ability to evaluate and adopt tools as the ecosystem evolves

Ability to define DQ rules, thresholds, and alerting strategies suited to business criticality

Knowledge of data observability principles and modern data reliability practices

Data Catalog & Lineage

Experience implementing or operating enterprise data catalogs and the judgment to select tooling appropriate to scale

Understanding of metadata management, business glossaries, and automated lineage capture

Familiarity with lineage visualization across ingestion, transformation, and serving layers

Data Modeling & Architecture

Understanding of data lakes, data warehouses, data marts, and modern layered (medallion) architectures

Familiarity with modern data transformation frameworks and SQL-based modeling approaches

Knowledge of schema design, partitioning, data lifecycle management, and cost-aware architecture

Stakeholder Management & Communication

Ability to engage CXO-level business stakeholders on data governance value and trade-offs

Experience running governance councils, working groups, and cross-functional workshops

Strong written communication — policies, standards, playbooks, and executive-ready reporting

Desired qualifications and experience:

Education

Bachelor’s degree in Computer Science, Engineering, Data Science, or related field (Master’s degree preferred)

Experience

8+ years in data engineering, data management, or data governance roles

3+ years in a governance-focused role with enterprise-wide scope

Experience in insurance, financial services, or other regulated industries preferred

Proven track record of building governance capability from inception and evolving it through successive maturity stages

Certifications (Good to Have)

CDMP (Certified Data Management Professional) — DAMA International

AWS Certified Data Analytics or Solutions Architect (or equivalent cloud certifications)

CIPP/A (Certified Information Privacy Professional — Asia) or equivalent privacy certification

State

Home Office

Branch

Gurugram -90C

Department

AI Data & Innovation

Function

Data Engineering

Posted On

04-Jun-2026

Apply Now

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