Manager- Enterprise Data Management at M&G plc

Pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

26 Mar, 26

Salary

0.0

Posted On

26 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Governance, Data Management, Metadata Management, Data Privacy, Data Quality, Data Strategy, Business Glossary, Data Quality Rules, Stakeholder Management, SQL, Data Lineage, Data Quality Dimensions, Data Management Tools, Financial Services, Organizational Skills, Time Management, Analytical Skills

Industry

Financial Services

Description

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. The Enterprise Data Team within M&G plc is mobilising a number of initiatives around data management to maximise the value of our data and to mitigate data risks. The key initiatives include adoption of an enterprise-wide data catalogue, roll-out of Data quality tooling and marketplace across business areas. The implementation of the data management tooling will ensure the data used within the organisation is understood, fit-for-purpose and easily discoverable to strengthen our data governance capabilities, improve regulatory compliance and reduce the inaccuracy or misuse of data across the organisation. The key part of this role is to work with Data owners, data stewards and the business/technology teams to populate data catalogue, create data quality rules and support any other data management activities. Key Responsibilities Work with data stewards and business/technical SMEs to assist in creating and documenting business glossary definitions for their respective data domains and projects Work with strategic programmes and projects to identify Critical Data elements, capture technical metadata of the impacted data items, assess data quality and create data quality rules Provide Quality assurance on the content that resides within the strategic data catalogue solution for the assigned business area or data domain Support Product Owner and data stewards in deriving metrics relevant to adoption of Data catalogue and data quality by the wider organisation Develop and maintain user guides for the data management tools, customise demos to suit various audiences and resolve tooling related queries – be the SME of relevant tooling and data management expert for the corresponding business area Experience statement Key experience of the successful candidate will include: Practical experience of working in a data governance/management team at a significant organisation for 4+ years A deep understanding of the core capabilities and principles within data management – Metadata management, Data Privacy, Data Quality, Data Governance, Data Strategy Hands-on experience creating high-quality business glossary definitions and capturing metadata and data lineage Hands-on experience creating DQ rules and assessing the quality of data across DQ dimensions Working experience in one or more data management tools – Informatica Axon/IDQ/EDC, Collibra, Datactics, Microsoft Purview Good knowledge of SQL to query and analyse datasets Experience working with a range of stakeholders across business and technolgy, managing relationships, and flexing approach to support data stewards and projects that are at different levels of data maturity and priorities Effective time management, prioritisation and organisational skills that ensures deadlines are met Demonstrate passion and enthusiasm to learn and make a real difference Experience working in financial services / insurance industry (Desirable) 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. M&G is a leading international savings and investments business, managing money for around 4.6 million individual clients and more than 900 institutional clients in 38 offices worldwide. As at 31 December 2024, we had £345.9 billion of assets under management and administration. 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.

Responsibilities

The role involves working with data stewards and business/technical SMEs to create and document business glossary definitions and data quality rules. Additionally, it includes providing quality assurance on the strategic data catalogue and supporting the Product Owner in deriving relevant metrics.