Manager, Data Management

Travelers•Hartford, CT

About The Position

At Travelers, we create trusted strategic products and services to unlock the power of our data. We enhance and measure our ability to access, govern, manage, connect and integrate internal and external data assets and ensure our employees understand the value of data and the impacts to our business. As a Manager, Data Management you will develop strategies to promote effective data governance practices to ensure that data is consistent, trustworthy, and doesn't get misused. You will measure accuracy, completeness, consistency, and reliability of data to embody and promote Traveler's data culture values. Consulting with business partners, you will assist in the design implementation, and drive the adoption of data management, governance, and metadata policies, standards, and best practices. You will develop and own project timelines and plans for assigned projects. Leveraging your understanding of the data ecosystem, business process and decision-making, as well as the data value chain, you will analyze medium complexity customer requests for changes to data management tools in order to determine impact on existing systems, process and develop appropriate specifications, enhancements, and procedures to comply.

Requirements

Bachelor’s degree or three years of relevant data and analytics, and/or data management experience.

Nice To Haves

Prior experience with ETL / Data Integration tools, one or more Data platforms, and Cloud Computing Technologies and related emerging technology.
Prior experience with one or more of the following Tools and languages – SQL, Teradata, Python, Hive, MicroStrategy, Ab Initio, Messaging, NoSQL.
Ability to understand metadata management, including metadata management, lineage, and cataloging.
Strong communication skills with the ability to consult on projects and present information effectively.
Ability to think strategically and use judgement to resolve issues as they arise.
Excellent relationship building skills with the ability to work both independently and collaboratively with internal and external partners.
Excellent time management skills with the ability to manage multiple projects simultaneously and follow through to ensure timely completion.
Strong leadership skills with the ability to manage a team and provide strategic direction on opportunities.
Ability to apply a thorough understanding of overall physical and logical data model and of data relationships, mapping, lineage and business rules.
Knowledge of data models, data relationships, mapping lineage and business rules.

Responsibilities

Govern the process of managing the availability, usability, integrity security and privacy of the data.
Collaborate with partners and assist with the design, development and implementation of innovative governance practices, roles, responsibilities.
Develop procedures, processes, and support the development of remediation plans to assure data quality for business purposes
Perform complex data profiling and analysis; communicates results in support of data quality processes.
Partner with business customers to recommend, develop, maintain and prioritize business data quality requirements, specifications, and rules.
Assist in defining metadata repository, data catalog, reference data management, and data lineage capabilities.
Work with business customers to ensure appropriate naming definitions and standards are being followed.
Facilitate the root cause analysis and resolution of business data management issues, including proposal and implementation of specification or procedural changes to address issue, working with impacted areas.
Leverage knowledge of data models, data relationships, mapping lineage and business rules to ensure that solutions meet operational and business needs.
Analyze medium complexity customer requests (internal or external, e.g., data calls) for changes to production systems, determine impact on existing systems, process and develop appropriate specifications, enhancements, and/or procedures to comply.
Leverage tools, processes, and workflows to capture knowledge, find information and maintain its relevance.
Design the creation, maintenance and governance of taxonomies and ensures its applicability to content and/or data.
Perform other duties as assigned.