Key Responsibilities

Data Strategy & Lifecycle Management

- Lead and govern the end-to-end data lifecycle, including data quality, architecture, standards, metadata, master data, lineage, acceptable data use, and data risk management.
- Define and execute enterprise data strategy aligned with business priorities and regulatory requirements.
- Ensure data assets are fit-for-purpose, reusable, and scalable across the organization.

Analytics & AI Data Foundations

- Establish and manage data foundations supporting analytics and AI use cases, including:
- Analytical and operational data stores
- Feature stores and model input data
- Data labelling and data readiness assessments
- Model data governance and compliance
- Partner with analytics and AI teams to ensure trusted, high-quality data for model development and deployment.

Data Governance & Compliance

- Design and implement data governance frameworks, covering:
- Data quality management
- Metadata and lineage
- Privacy, consent, and acceptable usage
- Ensure compliance with internal policies and external regulatory standards.

Solution Delivery & Leadership

- Lead cross-functional delivery teams across Group functions, countries, and local business units (LBUs).
- Manage and mentor teams of data professionals, including data analysts, data architects, and data modelers.
- Coordinate with internal technology teams and external vendors to deliver aligned, scalable solutions.

Stakeholder Management & Influence

- Engage with senior business and technology stakeholders to drive alignment and adoption of data blueprints in a federated environment.
- Translate complex business needs into practical, well-structured data designs and roadmaps.
- Act as a trusted advisor on data-related decisions.

Commercial & Business Value Creation

- Translate business data needs into measurable business value and competitive advantage.
- Support use cases across domains such as customer, policy, claims, advisor, and health data (where applicable).

Required Qualifications

Education

- Bachelor’s degree in Computer Science, Information Technology, or a related field.

Experience

- 10+ years of experience in data management and data governance roles.
- 4+ years of proven experience managing and leading data delivery teams.
- Strong experience working in federated operating models and complex enterprise environments.

Domain Expertise





- Prior experience in Insurance or Financial Services preferred.
- Familiarity with Party, Policy, Claims, Advisor, or Health data models is a strong advantage.

Cloud & Technology

- Hands-on experience with Azure and/or Google Cloud Platform (GCP).
- Solid understanding of modern data platforms and architectures.

Key Skills & Competencies

- Data strategy, governance, and architecture
- Analytics & AI data enablement
- Cloud-based data platforms
- Leadership and people management
- Stakeholder communication and negotiation
- Structured problem-solving and critical thinking
- Cross-cultural and cross-geography collaboration

Attributes for Success

- Strong leader and facilitator with the ability to influence without authority
- Comfortable operating in federated and matrixed environments
- Highly structured, pragmatic, and outcome-driven
- Resilient, patient, and diplomatic when navigating complexity
- Collaborative mindset with a strong sense of ownership

Key Responsibilities

Data Strategy & Lifecycle Management

- Lead and govern the end-to-end data lifecycle, including data quality, architecture, standards, metadata, master data, lineage, acceptable data use, and data risk management.
- Define and execute enterprise data strategy aligned with business priorities and regulatory requirements.
- Ensure data assets are fit-for-purpose, reusable, and scalable across the organization.

Analytics & AI Data Foundations

- Establish and manage data foundations supporting analytics and AI use cases, including:
- Analytical and operational data stores
- Feature stores and model input data
- Data labelling and data readiness assessments
- Model data governance and compliance
- Partner with analytics and AI teams to ensure trusted, high-quality data for model development and deployment.

Data Governance & Compliance

- Design and implement data governance frameworks, covering:
- Data quality management
- Metadata and lineage
- Privacy, consent, and acceptable usage




- Ensure compliance with internal policies and external regulatory standards.

Solution Delivery & Leadership

- Lead cross-functional delivery teams across Group functions, countries, and local business units (LBUs).
- Manage and mentor teams of data professionals, including data analysts, data architects, and data modelers.
- Coordinate with internal technology teams and external vendors to deliver aligned, scalable solutions.

Stakeholder Management & Influence

- Engage with senior business and technology stakeholders to drive alignment and adoption of data blueprints in a federated environment.
- Translate complex business needs into practical, well-structured data designs and roadmaps.
- Act as a trusted advisor on data-related decisions.

Commercial & Business Value Creation

- Translate business data needs into measurable business value and competitive advantage.
- Support use cases across domains such as customer, policy, claims, advisor, and health data (where applicable).

Required Qualifications

Education

- Bachelor’s degree in Computer Science, Information Technology, or a related field.

Experience

- 10+ years of experience in data management and data governance roles.
- 4+ years of proven experience managing and leading data delivery teams.
- Strong experience working in federated operating models and complex enterprise environments.

Domain Expertise

- Prior experience in Insurance or Financial Services preferred.
- Familiarity with Party, Policy, Claims, Advisor, or Health data models is a strong advantage.

Cloud & Technology

- Hands-on experience with Azure and/or Google Cloud Platform (GCP).
- Strong understanding of modern data platforms and architectures.

Key Skills & Competencies

- Data strategy, governance, and architecture
- Analytics & AI data enablement
- Cloud-based data platforms
- Leadership and people management
- Stakeholder communication and negotiation
- Structured problem-solving and critical thinking
- Cross-cultural and cross-geography collaboration

Attributes for Success

- Strong leader and facilitator with the ability to influence without authority
- Comfortable operating in federated and matrixed environments
- Highly structured, pragmatic, and outcome-driven
- Resilient, patient, and diplomatic when navigating complexity
- Collaborative mindset with a strong sense of ownership

📌 Group Operation-Data Lead (Bengaluru)
🏢 PureSoftware Technologies
📍 Bengaluru