Head – Data Engineering position at M&G Global Services Private Limited.| India

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M&G Global Services Private Limited Head – Data Engineering

Experience: Highly Experienced

Pattern: full-time

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Associate

Pune....India

We are M&G Global Services Private Limited (formerly known as 10FA India Private Limited, and prior to that Prudential Global Services Private Limited). We are a fully owned subsidiary of the M&G group of companies, operating as a Global Capability Centre providing a range of value adding services to the Group since 2003. 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. M&G Global Services has rapidly transformed itself into a powerhouse of capability that is playing an important role in M&G’s ambition to be the best loved and most successful savings and investments company in the world. Our diversified service offerings extending from Digital Services (Digital Engineering, AI, Advanced Analytics, RPA, and BI & Insights), Business Transformation, Management Consulting & Strategy, Finance, Actuarial, Quants, Research, Information Technology, Customer Service, Risk & Compliance and Audit provide our people with exciting career growth opportunities. Through our behaviours of 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. At M&G our purpose is to give everyone real confidence to put their money to work. As an international savings and investments business with roots stretching back more than 170 years, we offer a range of financial products and services through Asset Management, Life and Wealth. All three operating segments work together to deliver attractive financial outcomes for our clients, and superior shareholder returns. Through our behaviours of 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. We are looking to expand the in-house expertise in Data Technology and we need talented and skilled colleagues to implement data engineering solutions using latest technologies available in Azure Cloud space conforming to the best in class design standard & agreed requirements The Head of Data Engineering provides strategic and technical leadership for the enterprise data engineering function, setting the long-term vision and operating model for data platforms, pipelines, and products that enable analytics, AI/ML, reporting, and regulatory outcomes across the organization. The role establishes engineering excellence, and ensures reliable, secure, and cost-efficient data services at scale. The leader partners closely with business domains, architecture, data governance, information security, and platform operations to translate strategy into outcomes, balancing innovation with resilience and compliance. We know that an inclusive environment makes us more accessible and ensures we attract, engage, promote and retain exceptional people. We welcome applications from all individuals regardless of age, gender/gender identity, sexual orientation, ethnicity/nationality, disability, or military service and welcome those who have taken career breaks. We will consider flexible working arrangements or home working arrangements for any of our roles. Primary Key Responsibilities (Top 3-5 KRA) Strategy & Operating Model – Work with the UK Leadership team to define and socialize the enterprise data engineering strategy, target architecture (lakehouse / data mesh), and multi-year roadmap; design the operating model, org structure, and funding approach to scale outcomes across business units. Platform Ownership – Own the end-to-end data platform(s) (ingestion, storage, processing, orchestration, catalog, observability), ensuring they are secure, compliant, resilient, performant, and cost-optimized (FinOps). Data Product Engineering – Establish standards and reusable patterns for domain-oriented data products with strong SLAs/SLOs (quality, timeliness, lineage), enabling analytics, BI, and AI/ML use cases. Technical Leadership – Provide deep hands-on guidance on cloud data stacks (e.g., Azure Data Factory/Synapse/Fabric, Databricks, PySpark, ADLS, Event Hubs/Kafka), streaming and batch architectures, DataOps/CI-CD, and Infrastructure-as-Code (e.g., Terraform/Bicep). Governance & Risk – Embed data security, privacy, and regulatory controls (PII/PCI, records retention, auditability) into pipelines and platforms; partner with Governance, Legal, Risk, and Security to meet policy and regulatory obligations. Delivery Excellence – Drive Agile/SAFe delivery disciplines, automated testing, and platform reliability engineering (SRE) practices; ensure change management, regression testing, and incident/problem management are robust and well-documented. Stakeholder Partnership – Build trusted relationships with business technology leaders (Finance, HR, Risk, Operations), Enterprise Architecture, Data Science/AI, and PMO to prioritize demand and maximize value realization. Talent & Culture – Attract, grow, and retain a high-performing, diverse engineering organization; coach leaders, establish communities of practice, and foster a culture of ownership, transparency, and continuous improvement. Vendor & Partner Management – Lead commercial and delivery relationships with cloud providers, system integrators, and product vendors, ensuring measurable outcomes and knowledge transfer. Additional Responsibilities : Ensure SDLC and change controls (DevOps, Git, work item traceability, segregation of duties) are adhered to across all teams and environments. Proactively identify platform and process improvements that increase developer productivity, reliability, and security (e.g., golden pipelines, reusable accelerators, templates). Oversee service readiness and transition-to-run for new capabilities; ensure appropriate support models, on-call rotations, and capacity planning are in place. Lead platform upgrades and modernization, minimizing business disruption and technical debt Key Stakeholder Management Internal Life & Wealth Tech Corporate Functions technology Finance External External Consultants Knowledge, Skills, Experience & Educational Qualification Knowledge & Skills (Must Have) : Cloud Data Engineering (Azure preferred): Azure Data Factory / Synapse or Microsoft Fabric, Databricks (Spark, Delta Lake), ADLS Gen2, Azure SQL/SQL MI, Event Hubs/Kafka, Power BI; strong Python/PySpark. Architecture & Design: Lakehouse/data mesh patterns, streaming & micro-batch, dimensional & data vault modeling, CDC, orchestration, metadata/lineage, cataloging, and data quality frameworks. DataOps & Platform Engineering: CI/CD (Azure DevOps/GitHub), automated testing, observability (logs/metrics/traces), secrets management, and environment strategy. Security & Compliance: Data classification, masking/tokenization, key management, role-based access, regulatory awareness (e.g., privacy, retention, audit). Leadership & Communication: Executive storytelling, influencing across a matrix, conflict resolution, and the ability to simplify complexity. Knowledge & Skills (Additional) : Cost management/FinOps, performance engineering and capacity planning. IT service management (ITIL v3/v4) and SRE/operational excellence. Agile/SAFe program leadership; OKRs and value measurement. Vendor strategy, contracts, and outcome-based governance Experience: 22–25 years of progressive technology experience, with 10+ years in data engineering and 8–10 years leading large, multi-disciplinary data/platform teams. Proven track record delivering enterprise-scale cloud data platforms and data products in complex, regulated, or global organizations. Demonstrated success shaping technology strategy, operating models, and capital/OpEx planning, and executing multi-year transformation roadmaps. Strong people leadership: building leadership benches, performance management, and coaching high-performing teams. Educational Qualification: Bachelor’s/Master’s in Computer Science, Data/Information Systems, Engineering, Mathematics, or related discipline. Relevant Microsoft Azure certifications (e.g., DP-200/201 legacy, Azure Data Engineer Associate, Databricks certifications) are desirable M&G Behaviours relevant to all roles: Tell it like it is : Respectfully speaking up to create better ways forward – both direct and empathetic Own it now : Putting your name on things with confidence to drive progress and results quickly Moving it forward Together : forming cross functional teams to seize the right opportunities and solve real problems With Care and integrity… 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.

Head – Data Engineering job opportunity at M&G Global Services Private Limited.

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