Senior Manager - Governance, Data & AI

Overview

Lead the governance frameworks, technology strategy, and operating standards for Flutter's global People Analytics ecosystem, ensuring data, analytics, and AI capabilities are delivered responsibly, securely, and in line with regulatory requirements. Lead a team of governance and technology specialists.

What you'll do

• Establish and oversee governance frameworks covering data quality, reporting standards, controls, metadata management, and data lifecycle governance.
• Lead data governance and data quality forums, building strong relationships and alignment across stakeholder groups.
• Ensure compliance with internal policies, global data protection regulations, and emerging AI governance requirements.
• Lead governance reviews, audits, risk assessments, and regulatory responses relating to People data, analytics, and reporting.
• Act as the go-to expert on data governance, compliance, and risk management within the People Analytics function.
• Define and execute the People Analytics data foundation technology roadmap, ensuring scalable, secure, and future-ready solutions.
• Evaluate emerging technologies, data platforms, automation capabilities, and AI tools, balancing innovation with governance and business value.
• Partner with Technology and Architecture teams to strengthen the People Analytics data and technology ecosystem.
• Serve as the senior point of contact for Responsible AI within the People domain, ensuring AI-enabled solutions meet appropriate standards for governance, transparency, oversight, and risk management.
• Act as a trusted advisor to senior leaders, translating complex data, governance, and technology concepts into clear, actionable recommendations.
• Help shape strategic decision-making by balancing innovation, risk mitigation, regulatory obligations, and commercial value.
• Build strong partnerships across Technology, Data, Legal, Security, Risk, and HR functions to drive alignment, adoption, and consistency across the enterprise.
• Present recommendations, risks, and governance outcomes to senior leadership in a clear and engaging manner.
• Lead, coach, and develop a high-performing team of governance and technology specialists.
• Foster a culture of collaboration, accountability, continuous improvement, innovation, and technical excellence.
• Build succession plans and strengthen organisational capability across governance and technology disciplines.

What you'll need

• 10 to 12 years of experience across Data Governance, Data Quality, Analytics, Technology, AI or related disciplines.
• 2 to 4 years of people management experience, including coaching technical specialists and supporting the development of future leaders.
• 6+ years designing and implementing enterprise-scale data governance frameworks, including data quality, metadata management, controls, reporting standards, and lifecycle governance.
• Strong communication and stakeholder management skills, with the ability to engage and positively influence senior leaders and guide complex cross-functional initiatives.
• Working knowledge of GDPR, AI governance frameworks, the EU AI Act, and responsible AI principles, ideally gained in a regulated global environment.
• Good grasp of modern data architectures, analytics platforms, automation technologies, AI-enabled solutions, and emerging technology trends.
• Ability to weigh up innovation, governance, risk, and business value when assessing technology and AI investments.

Nice to have

• Hands-on experience with data governance tools like Collibra, Alation or Informatica CDGC.
• Experience defining and governing critical data elements (CDEs) and establishing data lineage.
• Background in People Analytics, HR Technology, Workforce Analytics or related functions.
• Familiarity with Workday, Workday Prism, cloud-based analytics platforms, or enterprise reporting ecosystems.
• Experience supporting machine learning governance, model validation, bias monitoring, or Responsible AI programmes.
• Exposure to global employment data regulations and HR-related compliance considerations.

Details

• Location: Hyderabad, India.
• Hybrid model: 2 office days per week.