Logo
Menu Icon

Data Management and Master Data Management- Senior Manager

Experience Icon
Experience: 15+ Years
Location Icon
Mumbai | Gurgaon | Bangalore | Hyderabad | Pune

Capabilities

  • You must have 7+ years of experience on projects showcasing skills across these capabilities- Data Capability Maturity Assessment, Data & Analytics Strategy, Data Operating Model & Governance, Master Data Management, Data Quality, Data on Cloud Strategy, Data Architecture Strategy
  • You should have consulting experience leading complex client engagements, owning senior stakeholder relationships, shaping problem statements and delivering executive-level recommendations that influence strategic decisions
  • You must have experience owning and driving RFP/RFI responses, including solution design, delivery approach, resourcing model, pricing inputs, and executive-ready proposal narratives.
  • Should have 7 years of experience designing solutions for these domains - Data Quality, Master Data (MDM), Metadata Management and Data Catalog.
  • Experience in multiple Master Data Management technologies – Informatica MDM, Reltio, SAP MDG etc.
  • Deep Understanding of data supply chain and building value realization framework for data transformations
  • You should have 10+ years of experience leading or managing teams effectively including planning/structuring analytical work, facilitating team workshops, and developing Data & Analytics strategy recommendations as well as developing POCs
  • A strong understanding in any of the following industries is preferred: Financial Services, Retail, Consumer Goods, Telecommunications, Life Sciences, Transportation, Hospitality, Automotive/Industrial, Mining and Resources or equivalent domains
  • CDMP Certification from DAMA preferred
  • Cloud Data & AI Practitioner Certifications (Azure, AWS, Google) desirable but not essential

Qualifications

MBA from Tier 1 institute/Master’s degree

Skills

Data & Analytics Strategy, Data Operating Model & Governance, Master Data Management, Data Quality, Data on Cloud Strategy, Data Architecture Strategy

Your Team

As a leading global professional services company, you are invited to join a vibrant team and explore a diverse range of opportunities in strategy, consulting, digital, technology, and operations. You will be a part of a collaborative environment that combines unmatched experience and specialized skills across 40+ industries. This leading enterprise, at the intersection of business and technology, is dedicated to helping clients enhance performance and create sustainable value for stakeholders.

Your Job

  • You will leverage your knowledge of technology trends across Data & Analytics and how they can be applied to address real world problems and opportunities.
  • Ability to Interact with client stakeholders to understand their Data & Analytics problems, priority use-cases, define a problem statement, understand the scope of the engagement, and also drive projects to deliver value to the client
  • Design & guide development of Enterprise-wide Data & Analytics strategy for our clients that includes Data & Analytics Architecture, Data on Cloud, Data Quality, Data Governance, Metadata and Master Data strategy
  • Establish framework for effective Data Governance across multispeed implementations. Define data ownership, standards, policies and associated processes
  • Define a Data & Analytics operating model to manage data across organization. Establish processes around effective data management ensuring Data Quality & Governance standards as well as roles for Data Stewards
  • You should have fair understanding of data platform strategy for data on cloud migrations, big data technologies, large scale data lake and DW on cloud solutions.
  • Utilize strong expertise & certification in any of the Data & Analytics on Cloud platforms – Google, Azure or AWS
  • Collaborate with business experts for business understanding, working with other consultants and platform engineers for solutions and with technology teams for prototyping and client implementations.