Want to know if this job is worth applying to?
Mumbai, Maharashtra, India
Onsite
About M&G India
We are M&G India, the strategic innovation and digital hub for M&G. Established in 2003, we have offices in Mumbai and Pune.
Our teams work closely with colleagues across the Group worldwide to drive transformation, build digital capability, and support sustainable growth. By leveraging technology, AI, automation, and process excellence, we bring new ways of thinking to improve outcomes for both customers and colleagues.
Grounded in a vibrant culture with strong foundations, we are central to how M&G is transforming as a business.
About M&G
Our purpose is to give everyone real confidence to put their money to work. With a heritage dating back more than 175 years, we have a long history of innovation in savings and investments, combining asset management and insurance expertise to offer a wide range of solutions.
Our two distinct operating segments, Asset Management and Life, work together to provide access to balanced, long-term investment and savings solutions.
Through telling it like it is, owning it now, and moving it forward together with care and integrity; we are creating an exceptional place to work for exceptional talent.
• To work collaboratively with colleagues and take personal accountability to maintain and enhance controls you are responsible for to support improvement of the overall control environment, customers outcomes and a reduction in M&G plc's operational risk. • Capability leadership – Establish the standards, methodologies and operating model for data analysis and Data Platform Reliability, ensuring consistent, high-quality outcomes across all strategic initiatives. • Capability leadership – Build a community of practice across data analysis, strengthening capability, building reusable assets, knowledge sharing and continuous improvement. • Capability leadership – Develop, coach and mentor Lead and Senior Data Analysts and Data Engineers, raising technical depth, domain fluency and stakeholder impact; define structure, role design, career pathways, skills framework and succession. • Data products – Own the analysis and definition of investment data products, ensuring alignment with investment, client, risk, regulatory, ESG and operational objectives across public and private markets. • Data products – Materially improve data product delivery speed and predictability through clearer demand intake, prioritisation, product-aligned squads, reusable patterns, automation and reduction of rework. • Data products – Champion data product thinking and data mesh principles across the Asset Management data estate. • Data products – Define and maintain data contracts; translate business needs into technical analysis, data definitions, transformation logic, schema definitions, business rules, critical data elements and lineage, ensuring traceability and enterprise-wide reuse of investment data. • Data products – Partner with data domain product owners to shape strategic data roadmaps, prioritise investment data capabilities and translate business outcomes into scalable, governed data solutions. • Technical depth – Provide hands-on technical guidance to the team, including complex SQL, data models, transformation logic, reconciliations, test approach and analytical outputs; set the bar for quality. • Technical depth – Oversee the data engineering and data platform reliability capability in India covering pipelines, ingestion, transformation, APIs and data services, ensuring solutions are secure, resilient, observable, performant and cost-effective. • Technical depth – Contribute to platform and tooling choices across the modern data stack (Snowflake, Azure data services, Databricks, orchestration, data catalogue, lineage and data quality tooling) in partnership with Architecture and the Head of Engineering • Technical depth – Embed engineering and data platform reliability discipline, including CI/CD, automated testing, data-quality-as-code, environment management, release control and production support practices. • Governance – Collaborate across Data Quality, Data Governance and Data Ownership initiatives, ensuring data is trusted, controlled, governed and fit for purpose across the investment data ecosystem. • Governance – Define and govern data standards, metadata, data models, data quality controls and issue management, including measurable data quality KPIs and remediation accountability with data owners and stewards. • Leadership – Operate as a member of the India Asset Management Technology leadership team and the Global Data, AI & Analytics Platform leadership team, making effective decisions, collaborating across silos, speaking up and taking personal accountability. • Leadership – Engage senior UK and India stakeholders with clear, evidence-based communication on capability, delivery confidence, risks, trade-offs and value realised. • Leadership – Implement and monitor KPIs for analysis quality, delivery throughput, cycle time, data quality and stakeholder satisfaction, using data to drive decisions and continuous improvement. • Leadership – Leverage AI-enabled analysis and engineering responsibly, including prompt engineering, AI-assisted SQL, documentation, testing and insight generation, in line with Responsible AI standards. • Leadership – Inspire the team to deliver exceptional performance by connecting the purpose of their work to customer, client and colleague outcomes.
We have a diverse workforce and an inclusive culture at M&G Global Services, regardless of gender, ethnicity, age, sexual orientation, nationality, disability or long term condition, we are looking to attract, promote and retain exceptional people. We also welcome those who take part in military service and those returning from career breaks.
