Senior Consultant Business Data Analyst (Data Steward)

The Hartford•Hartford, CT

1d•$100,000 - $150,000

About The Position

The Global Specialty practice at The Hartford is seeking a Data Steward to join its Data & Analytics value stream. The role partners with an existing Data Steward to support and expand data governance capabilities and Data Modernization work. The Data Steward serves as a custodian of data quality, lineage, and governance practices, collaborating with stakeholders in Data Science & Analytics, Actuarial, Finance, Operations, and other teams to implement a cohesive data strategy. The position combines strategic contribution with hands-on stewardship. It applies functional knowledge to identify and clarify business data needs and represent them through data definitions, governance standards, data quality rules, and metadata across the data lifecycle. The Data Steward performs data analysis, discovery, and profiling to understand data characteristics, validate business meaning and usage, identify data quality concerns, and promote consistency and trust in data. The role develops, maintains, and governs data dictionaries, business glossaries, lineage documentation, and mapping documents. It documents business definitions, data relationships, transformation rules, ownership, and governance expectations. The Data Steward acts as a liaison between business and IT stakeholders, offering guidance on governance, definitions, and standards, and partners with cross-functional teams—including underwriting, operations, data engineering, and architecture—to align on policies, data quality expectations, and domain standards. The role also supports governance tools such as IDMC or similar platforms and the continuous improvement of how data is defined, managed, and consumed. The work arrangement may be hybrid or remote. Employees who live near a listed office location are expected to work in the office Tuesday through Thursday; those who do not live near an office may work remotely and are expected to come into an office as business needs arise. Candidates must be authorized to work in the United States without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Requirements

At least 5 years of experience in data analysis, data governance, or business analysis within the insurance industry or a similar environment.
Experience working with data warehouses, data lakes, and/or analytics platforms.
Strong understanding of data stewardship concepts, including data quality, lineage, and governance.
Familiarity with data governance tools such as IDMC or similar platforms.
Experience developing and maintaining data dictionaries, glossaries, and governance artifacts.
Ability to independently investigate data issues and identify root causes.
Strong collaboration skills and experience working across multiple teams and stakeholders.
Ability to communicate effectively with technical and business audiences.
Understanding of data modeling and domain-driven design concepts; insurance experience is preferred.
Proficiency with querying tools; SQL is preferred.
Experience working in Agile environments.
Must be authorized to work in the United States without company sponsorship.

Nice To Haves

Insurance experience.
Experience with SQL.
Experience with IDMC or similar data governance platforms.

Responsibilities

Partner with the existing Data Steward to define, implement, and enforce data governance practices.
Support data quality management, including identifying, monitoring, and remediating data quality issues.
Maintain and enhance data dictionaries, business glossaries, and standard data definitions.
Document and support data lineage across systems to ensure transparency and traceability of data flows.
Collaborate with business and technical teams to ensure data is captured, stored, and used in alignment with governance policies.
Participate in the implementation and adoption of governance tools, such as IDMC, and related processes.
Analyze data to identify gaps or inconsistencies and recommend improvements.
Work across teams and stakeholders to align on domain data standards, such as Claim and Policy.
Support the development and enforcement of data policies, standards, and procedures.
Contribute to governance forums and promote best practices across the organization.
Perform data analysis, discovery, and profiling to understand data characteristics, validate business meaning and usage, and identify data quality concerns.
Develop, maintain, and govern data dictionaries, business glossaries, lineage documentation, and mapping documents.
Act as a liaison between business and IT stakeholders, and collaborate with cross-functional teams to align on data policies, quality expectations, and domain standards.