Assistant Manager
Job Description
- Help our clients establish Data Management and Governance programs and drive data ownership into the client businesses
- Perform Data Management and Governance reviews, Data Maturity assessments
- Assist with implementation of the Data Management and Governance programs within the client organization
- Conduct current state assessments, evaluate assessment results, and present findings in a logical and easy-to-understand manner
- Assist with data architecture reviews and advise on data solutions that pertain to Data Governance programs (Data Catalogue, Data Quality, Business Glossary, data tools/software, metadata management, master data management, Lineage)
Requirements
Skills and attributes for success
- Be self-motivated and passionate about data management and governance
- Ability to meet deadlines and manage project delivery
- Superior communication and interpersonal skills
To qualify for the role, you must have
- 7+ years of experience in and understanding of concepts and frameworks pertaining to Data Management- Data Governance, Data Policy, Data Lineage, Data Models, Data Quality, Data Risk and Control Frameworks, Data Literacy, Reference Data Management, Metadata Management
- Experience within data management and governance. Possess knowledge of frameworks, standards and regulatory requirements related to Data Governance, Data Management - DAMA, BCBS239, CCAR, etc.
- Worked with or have an understating of EDM Council DCAM assessment or an alternative data maturity assessment; be certified in EDM Council DCAM Assessment
- Experience with data management tools such as Collibra, Informatica, Ataccama, etc.
- Advanced problem-solving skills, superior communication (verbal and written)
- Experience working independently, efficiently, and effectively under tight timelines and delivering results by critical deadlines
- Experience with client-facing activities requirements gathering, presentation creation, and ability to prepare client ready deliverables
- Experience of Agile and traditional SDLC delivery methodologies
- Strong analytical and problem-solving skills