Job Description

OUR CLIENT

Our client provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting-edge analytics techniques, and a consultative approach. Leveraging proprietary methodology and best-of-breed technology, our client's analytics team takes an industry-specific approach to transform decision-making and embed analytics more deeply into their business processes. They have a global footprint of 2,000+ data scientists and analysts who assist client organizations with complex risk minimization methods, advanced marketing, pricing and CRM strategies, internal cost analysis, and cost and resource optimization within the organization. They serve the insurance, healthcare, banking, capital markets, utilities, retail and e-commerce, travel, transportation and logistics industries.

ROLE

We are seeking a Senior Data Governance Engineer

ROLES & RESPONSIBILITIES

• Design & develop enterprise-wide (on-prem, cloud) data governance programs, frameworks, and principles comprising of latest industry best practices
• Develop policies and processes for all data governance-related aspects of data collection, storage, access, sharing, usage, quality, archival, privacy, security, technology, tools, modeling, visualization
• Help existing Data Governance committee with governance policies, processes creation and compliance.
• Define data quality controls, monitoring and remediation process partnering with the domain owner, data product, and analytics team
• Lead team members responsible for MDM solution implementation, data quality engineering, governance analysts, MDM data analysts, data stewards and other governance-related aspects

CANDIDATE PROFILE

• 7+ years' experience in developing and implementing policies, and processes for all Data Governance aspects for both on-prem and cloud assets
• Some experience in the insurance domain/ data is a must
  
• Technical governance tools Unity Catalog
  • Good to have - Colibra, Axon/EDC, Informatica, Alation, etc.
• B.S. Degree in a data-centric field (Mathematics, Economics, Computer Science, Engineering or other science field), Information Systems, Information Processing or engineering.
• Excellent communication & leadership skills, with the ability to lead and motivate team members
• Knowledge of the latest industry trends, tools used to manage/implement data governance components
• Ability to work independently with some level of ambiguity and juggle multiple demands