
Director, AI & Data
- India
- Permanent
- Full-time
- Define and evolve MPMS's Group AI strategy, ensuring alignment with business goals, regulatory obligations, and ethical principles.
- Drive enterprise-wide prioritisation and execution of AI initiatives that deliver measurable value to operations, customer experience, and risk management.
- Establish a scalable and compliant AI operating model including demand intake, capability build, governance, risk management, and change enablement.
- Oversee enterprise data management including data platform architecture, master data governance, and data lifecycle controls.
- Drive the development of advanced analytics, data science models, and business intelligence capabilities in alignment with strategic business needs.
- Partner with business leaders to translate AI and data opportunities into tangible commercial and service outcomes.
- Lead the enterprise data agenda, overseeing data governance, platform strategy, and advanced analytics maturity.
- Serve as a trusted advisor to the Executive Leadership Team (ELT) on AI and data matters.
- Foster a strong community of practice across technology, data, and business domains to build awareness, capability, and adoption of AI.
- Represent MPMS externally in regulatory, vendor, and industry forums related to AI and data innovation.
- Develop and retain key people, proactively identifying key people risks through the development of robust succession planning
- Lead and inspire teams, role-modelling MPMS values while contributing to the Business Enablement function
- Lead the implementation of MPMS's AI Principles: transparency, fairness, trust, privacy, safety, explainability, accountability, and human oversight.
- Establish governance forums and control mechanisms to ensure AI and data use complies with global and local regulatory frameworks (e.g. APRA, GDPR, SEBI).
- Oversee AI risk assessments and model validation processes to ensure robustness and integrity of algorithms.
- Over 10 years of experience in enterprise data, analytics, or AI leadership roles within financial services or regulated industries.
- Proven expertise in leading strategic initiatives, managing operations, and implementing governance frameworks
- Demonstrated track record of delivering scalable AI/ML solutions with business impact.
- Strong understanding of data governance frameworks, privacy law, and AI ethics.
- Familiarity with cloud-based data platforms (e.g., Azure, AWS) and modern data tooling.
- Experience managing cross-functional teams and influencing senior stakeholders.
- Demonstrated understanding of AI/ML technologies, data architectures, and modern analytics platforms.
- Demonstrated experience to set a long-term vision and roadmap for AI and data in line with business strategy.
- Exceptional ability to influence stakeholders, facilitate consensus, and align teams toward a common vision
- Effective communicator, able to tailor messaging to diverse audiences at all levels
- Proven capability to lead teams, influence executives, and drive organisational change.
- Demonstrated understanding of regulatory obligations and ethical considerations in AI and data use.