Lead Data Governance Analyst (Hybrid)

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Join T. Rowe Price as a Lead Data Governance Analyst (Hybrid)

Discover the opportunity to grow, contribute, learn, and make a significant impact at T. Rowe Price. As a premier global asset manager, we deliver exceptional investment management and retirement services that investors can trust today and in the future. The work we do matters, and we invite you to explore a career with us.

Job Overview

The Lead Data Governance Analyst will join the Data Governance & Operations team within the Chief Data Office (CDO), reporting to one of the Data Governance Directors. This is a pivotal role where you will execute key deliverables and support the overall CDO strategy.

Key Responsibilities

  • Implement the Data Governance and Operations framework and operating model.
  • Support the Data Governance Director by crafting processes for consistent implementation.
  • Define the operating model for the enterprise data glossary and catalog, including roles, responsibilities, and metadata management frameworks.
  • Provide strategic and hands-on data governance support across the Chief Data Office (CDO) and broader Enterprise.
  • Collaborate with the Data Quality team to define data quality rules and test scenarios/test cases.
  • Evaluate external data governance solutions for their fitness for purpose.
  • Use in-house data monitoring solutions to assess data quality and develop remediation approaches.
  • Build relationships with business collaborators and data and technology teams to enhance data governance.

Qualifications

Required

  • Bachelor's degree or equivalent combination of education and relevant experience.
  • 8+ years of experience in data governance and data quality within the financial services industry.
  • Solid knowledge of data governance, data definition, cataloging, data ownership, data lineage, data policies, data quality, and data governance forums.
  • Advanced knowledge of SQL.

Preferred

  • High comfort level interacting with senior collaborators, driving meetings, and conducting trainings.
  • Excellent communication, collaboration, presentation, problem-solving, and stakeholder management skills.
  • Strong analytical skills and ability to simplify complex information.
  • Knowledge of Python for data analysis is an advantage.
  • Possess an innovative mindset.
  • Experience with Data Quality tools for configuring and executing data quality rules.
  • Experience contributing to Data Catalogs and Data Marketplaces.
  • Understanding of Data Lakehouse technologies.
  • Knowledge of cloud platforms and data visualization tools such as Power BI, Tableau, or Qlikview.
  • Experience in Agile environments with the ability to write data-related user stories and acceptance criteria.
  • Strong knowledge of the Financial Services industry.

Additional Information

FINRA Requirements

FINRA licenses are not required for this role.

Work Flexibility

This role follows a hybrid work model with up to two remote working days per week.

Commitment to Diversity, Equity, and Inclusion

We strive for equity, equality, and opportunity for all associates. By embracing diversity and fostering an inclusive environment, we create greater value for our clients. Our commitment includes programming aimed at elevating the experience for every associate and building allies in our global community. A sense of belonging is key to your success and ability to bring your best each day.

Benefits

We invest in our people through a wide range of programs and benefits, including:

  • Competitive pay and bonuses.
  • Generous retirement plan and employee stock purchase plan with matching contributions.
  • Flexible and remote work opportunities.
  • Health care benefits (medical, dental, vision).
  • Tuition assistance.
  • Wellness programs (fitness reimbursement, Employee Assistance Program).

Our policies may evolve, but our commitment to supporting our associates’ well-being and addressing client, business, and community needs remains unwavering.

T. Rowe Price is an equal opportunity employer and values diversity of thought, gender, and race. We ensure equal treatment of all associates and applicants without discrimination based on race, religion,