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Senior Data Management Consultant

2 months ago

Manchester, New Hampshire, United Kingdom Stealth iT Consulting Full time

**About Stealth iT Consulting**

We are a leading top-tier consultancy specializing in Data & AI Strategy. Our team is dedicated to helping clients navigate the complexities of modern data landscapes.

**Job Summary**

We are seeking a highly skilled Senior Consultant (Data Management) to join our rapidly growing Data & AI Strategy team. As a Data Management Consultant, you will play a critical role in helping clients achieve their data management goals.

**Key Responsibilities**

  • Provide guidance and advisory services to clients on data management topics, including data governance frameworks, metadata management strategies, data ethics policies, and master data management (MDM) solutions.
  • Conduct assessments of clients' data maturity against industry standards using frameworks such as DCAM (Data Management Capability Assessment Model) and DAMA (Data Management Body of Knowledge), leveraging both qualitative and quantitative analysis.
  • Provide strategic counsel on maximizing the value of data-driven insights to drive business decision-making, advising on information and data management best practices, advanced analytics methodologies, and emerging trends in data governance.
  • Contribute to shaping and executing engagements in Data Management, providing strategic and implementation consultancy in areas like data governance, data ethics, data modeling, data quality, data architecture & standards implementation, MDM among others.
  • Support large-scale data transformations from conceptualization to implementation, ensuring alignment with business objectives and data management best practices.
  • Contribute to the development of our practice by working with others in identifying new market opportunities, creating innovative offerings, and creating thought leadership content.

**Requirements**

To be successful in this role, you will need to have a strong background in data management, with a focus on data governance, quality, security, and metadata management. You will also need to have proficiency in best practices of data management and a keen interest in AI and its application.