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Data Platforms and AI Access Control Lead

Gsknch

·

Jun 19, 2026

Location
Bengaluru Campus 31, India
Type
Full-time
Department
IT
Seniority
Lead
Experience
10+ years
Closing date
Jun 30, 2026
Source
Workday

Description

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 environments 

 

Key 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 conducting 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 regulatory adherence. 

  • Contribute directly to handson capacity to Gen AI Operations troubleshooting, and optimisation. 

Leadership & Stakeholder Engagement 

  • Cross-Functional Liaison: Serve as the primary connector bridging Data Science/AI Engineering teams with Legal, Privacy, and Cybersecurity departments. 

  • Strong collaboration with Data & AI Operations Lead, Data & AI Security Compliance lead to ensure alignment among all services towers 

  • Mentor Data Engineering, Access and Operations professionals. 

  • Lead awareness and training programs related to Data & AI Access Management best practices. 

  • Escalate and remove blockers in a complex, matrix organisation, engaging senior stakeholders as required. 

  • Act as the primary point of contact for Data & AI Platform Access Management Programs. 

  • Drive user adoption, service awareness, training coordination, and feedback management. 

  • Ensure Timely Communication to stakeholders during Access Control Shortfalls, High Impact Incidents and Changes.  

  • Support AI Governance and Responsible AI processes through engagement with Architecture Review Boards and AI/ML Architects  

  • Ensuring close alignment to internal & external regulatory and compliance requirements, Access Governance & Data Lifecycle Audits with no critical or high findings or violation against them. 

  

Key Skills: 

  • Identity & Access Management 

  • AI & GenAI Data Security 

  • Access Compliance & Governance 

  • Data Platform & Cloud Security 

  • Access Risk Management 

  • Regulatory Compliance 

  • Security, Risk and Compliance Audit Management 

  • Stakeholder Management 

 

Qualifications & Experience: 

  • Bachelor’s or master’s degree in Cybersecurity, Computer Science, Information Systems or related field. 

  • 10+ Years of experience in: 

  • Identity & Access Management 

  • Enterprise Data Security 

  • Compliance and Governance 

  • Proven track record of enterprise IAM and IDAM policies. 

  • Strong understanding of SSO, Tokenized Access, PAM (privileged access Management)  

  • Knowledge of at least one IDAM / IAM tool wiz Okta, Sailpoint, Cyberarc, Microsoft Entra ID etc 

  • Strong experience in representing the organization to Internal and External Access Management, Risk and Compliance Audits.  

  • Strong Experience with Enterprise Data, AI and Analytics Ecosystem 

  • Hands On Experience with Data Platforms, AI/ML or Generative AI Security.  

  • Knowledge of DevSecOps, MLOps, CI/CD, API security, and container security. 

  • Deep understanding of cloud platforms (Azure, AWS, Google Cloud) 

  • Strong strategic and operational leadership skills. 

  • Excellent communication and executive presentation abilities. 

  • Ability to influence global cross-functional teams.  

  • Strong analytical and problem-solving capabilities. 

  • Passion for emerging technologies, cybersecurity innovation, and responsible AI governance. 

 

 

 

 

 Job Posting End Date

 

 

2026-06-30

 

 

 

Equal Opportunities

Haleon are committed to mobilising our purpose in a way that represents the diverse consumers and communities who rely on our brands every day. It guides us in creating an inclusive culture, where different backgrounds and views are valued and respected – all in support of understanding and best serving the needs of our consumers and unleashing the full potential of our people. It’s important to us that Haleon is a place where all our employees feel they truly belong.

During the application process, we may ask you to share some personal information, which is entirely voluntary. This information ensures we meet certain regulatory and reporting obligations and supports the development, refinement, and execution of our inclusion and belonging programmes that are open to all Haleon employees. 

The personal information you provide will be kept confidential, used only for legitimate business purposes, and will never be used in making any employment decisions, including hiring decisions.

 

 

 

Adjustment or Accommodations Request

If you require a reasonable adjustment or accommodation or other assistance to apply for a job at Haleon at any stage of the application process, please let your recruiter know by providing them with a description of specific adjustments you are requesting. We’ll provide all reasonable adjustments to support you throughout the recruitment process and treat all information you provide us in confidence. 

 

 

 

Note to candidates

The Haleon recruitment team will contact you using a Haleon email account (@haleon.com). If you are not sure whether the email you received is from Haleon, please get in touch.

Skills

AWSAzureCI/CDMachine LearningSnowflakeDatabricksData ScienceData EngineeringETLCybersecurityDevOpsRisk ManagementComplianceGDPRISO 27001

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