MassMutual is seeking to improve its investment data governance and strategy, ensuring that its data is trusted, observable, and usable by partners and consumers, and that it meets the broad requirements of the business community.
Requirements
- 3+ years of proficiency in SQL and data manipulation tools (e.g., Python, R)
- Experience with data governance tools such as Collibra, Alation and Data360
- Data Modelling, Data Governance or Data Science training and certification
- Experience with Eagle STAR, Eagle Pace and Eagle DataMart
- Knowledge of data modelling concepts
- Experience with data quality tools, data lineage tracking, and metadata management.
- Understanding of investment data requirements and language of investment data
Responsibilities
- Ensure that we have complete end to end lineage for critical data elements and sub domains.
- Work with data owners and stewards to ensure that our list of critical data meets the needs of the business and lineage is created and validated for newly defined critical data elements.
- Collaborate with stewards to ensure that our data catalog is complete and accurate with data descriptions, usage rules and accuracy rules defined.
- Contribute to the business data model for the investment domains and sub domains based on the requirements of the businesses that we support.
- Establish KPIs and track data governance adoption using tools and reports.
- Track issues raised and their time to resolution.
- Manage interactions between operational and technology teams, communicating business needs into technical requirements with tech/data based on business needs.
Other
- Bachelor’s degree in finance, economics, Data Science or related degree
- 5+ years as an Investment Data Product Analyst or similar role
- 3+ years of experience in financial services, insurance, or related industry.
- Must be authorized to work in the United States without requiring sponsorship now or in the future; no immigration sponsorship for this position.
- Excellent communication and interpersonal skills, highly collaborative
