Data Platforms and AI Access Control Lead

Responsibilities

• Data & AI Platforms Identity & Access Management Governance
• Entity Permissions: Define and manage access rights for both human employees and non-human entities (e.g., AI agents, MLOps pipelines, service accounts).
• Access Control Matrix: Develop and maintain Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC) matrices to dictate who (or what) can read, write, modify, or execute datasets and models.
• Principle of Least Privilege: Enforce minimum-necessary access to limit the blast radius ofdata exposure and internal threats
• Access Architecture: Design end-to-end authorization frameworks enforcing least-privilege and Attribute-Based Access Control (ABAC) across Azure data estates
• IDAM Tools Integration: Manage integrations between IDAM Tools like Microsoft Entra ID (Azure AD) , SailPoint, Octa etc and data platforms ( Azure Data Lakes, Azure Synapse, Fabric, and Databricks , and AI/ML Platforms ).
• Lifecycle Management: Automate access provisioning, role mapping, and de-provisioning workflows for clinical, research, and business users.
• Define, monitor & track Access Controls , risk metrics & KPIs against Data Access Management Policies .
• Identify and mitigate Data & AI-Specific access risks including Data Leakage, Unauthorized Data Exposure, etc.
• Maintain enterprise Access Management policies, standards, and control frameworks
• Ensure Secure access to enterprise data ecosystems including but not limited to: Data Lakes, Data Warehouses, ETL/ELT Pipelines, Analytics Platforms, Data APIs, Gen AI Applications and Services.
• Ensure implementation of secure data access, encryption, masking, retention, and governance controls across Data Engineering & MLOps pipelines.
• Conduct Data Access (IDAM) Compliance & Data Security Assessment: Microsoft Fabric, Azure Data Services, Databricks, Snowflake, enterprise Data & AI platforms and Applications by c onduct ing Monthly, Quarterly & Half-Yearly and Yearly Access assessment Audits
• Maintain SOPs, Runbooks and Knowledge Repositories.
• Maintain risk registers and access governance reporting mechanisms.
• Support investigations and Perform root cause analysis related to Data & AI platform access violation incidents .
• Collaborate with Business users, Application Owners, IAM teams to ensure enterprise IDAM policies implemented across Data & AI platforms.
• Closely working with AI Governance & Responsible AI central teams to align with enterprise policies and regulatory expectations.
• Implement automated compliance reporting and logging to audit how Data & AI models interact with sensitive corporate and customer data.
• Lead Compliance Initiatives aligned with ISO 27001, SOC2, GDPR, PCI-DSS, HIPPA, DPDP and AI Governance Frameworks.
• Coordinate audits, assessments, and evidence management activities.
• Partner with Legal, Privacy, Risk, and Audit teams to ensure regulat

Benefits

Additional Information

Welcome to Haleon. We're a purpose-driven, world-class consumer company putting everyday health in the hands of millions. In just three years since our launch, we've grown, evolved and are now entering an exciting new chapter - one filled with bold ambitions and enormous opportunity. Our trusted portfolio of brands - including Sensodyne®, Panadol®, Advil®, Voltaren®, Theraflu®, Otrivin®, and Centrum® - lead in resilient and growing categories. What sets us apart is our unique blend of deep human understanding and trusted science. Now it's time to fully realise the full potential of our business and our people. We do this through our Win as One strategy. It puts our purpose - to deliver better everyday health with humanity - at the heart of everything we do. It unites us, inspires us, and challenges us to be better every day, driven by our agile, performance-focused culture. Role Purpose The Data Platform & AI Access Control Lead is responsible for ensuring the secure, compliant, and responsible usage of organizational data and AI systems. They bridge the gap between AI engineering, information security, and governance by defining permissions for both human users , Functional Accounts, Service Principles and autonomous AI agents across modern Data Platforms, Analytics ecosystems, AI/ML solutions, and Generative AI environments. This role will be responsible for establishing secure and compliant Data & AI Access ecosystems by integrating IAM , governance, privacy, risk management, and regulatory compliance into Data Platforms and AI Operations . The ideal candidate will possess deep expertise in Access Management practices in cloud-native data , AI platforms, AI/GenAI security, Role Based Access Control methodologies , regulatory compliance frameworks, and secure engineering practices. The role requires strong collaboration across Data & AI Platform Engineering , IT, Security, Legal, and AI Engineering teams ( data science/DevOps /Machine Learning Engineering ) to ensure secure, compliant and resilient access control management across Data & AI environment s

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