Senior Business Analyst – Cross Functional Data Governance

The work we do has an impact on millions of lives, and you can be a part of it.

We help protect our customers against life’s uncertainties. Regardless of where you work within the company, you’ll be helping provide protection and peace of mind when our customers need it most.

The Data Governance team is part of a larger Enterprise Data & AI function whose mission is to enhance Protective’s data capabilities by developing foundational data solutions to effectively utilize data for better customer service while addressing our most intricate business challenges.

Traditionally, data teams have operated independently to resolve data quality issues and develop data products tailored to specific needs resulting in redundant data storage and siloed data governance and solutions across the organization.

This presents an opportunity to drive efficiencies and improve operations, consistency, and quality around data by establishing enterprise-level capabilities in these areas.

As such, the Data Governance team is seeking a Data Governance Analyst to support the deployment of Data Governance policy across the organization, ensuring knowledge transfer, the identification of accountable individuals within the business lines, and providing support where necessary. The candidate will work and coordinate with other Data and AI teams and also with other stakeholders across the organization. The job requires a broad and comprehensive understanding of systems, standards, and practices relevant to data management and the key functions within Data Governance.

Success in this position will require the following:

Strong business process and technical competencies to quickly grasp how Protective uses data from both a business and technology-centric perspective, the ability to understand and communicate complex concepts succinctly to audiences with differing levels of expertise, comfort with confrontation to question the status quo, aptitude in driving problem-solving conversations, pushing through ambiguity, and making recommendations, and the ability to develop trusted partnerships across a wide spectrum of teams.

• Manage KPI, KRIs, agenda, cadence, and key decisions for the Data Governance forum, working group, and steering committee.
• Maintain the business glossary ensuring key decisions are accurately documented and the glossary facilitates clarity and consistent use of key terms across the organization.
• Establish and maintain clear connections between Technical Data Specifications and key fields, ensuring consistency and transparency in data definitions.
• Maintain a comprehensive and up-to-date data catalog that describes datasets, their attributes, and their usage. This ensures accessibility and supports effective data management.
• Design and deliver training programs for team members to prepare them for governance activities.
• Liaise and collaborate with Data Solutions and other colleagues to ensure timely execution and provide reporting of potential risk to delivery and project team.
• Support other Data Governance team members (as needed) with other policy implementation and adoption of Protective’s Data Governance Policy including:
• Guidance for Data Owners:
  Assist Data Owners in categorizing data processes, considering factors such as risk management, business criticality, and regulatory compliance. Ensure their understanding and alignment with governance standards.
• Identification of Data Owners and Stewards:
  Collaborate with stakeholders to identify and assign responsibilities for Data Owners and Stewards, ensuring clear accountability for each data field.
• Data Flow Documentation:
  Map and maintain detailed documentation of data flows within the governance framework, illustrating how data is processed and transformed across systems and workflows.
• Data Quality Controls Definition:
  Conduct research to identify historical data errors and gaps, using these insights to develop structural quality controls that prevent recurrence and enhance data reliability.
• Implementation of Data Quality Controls:
  Monitor and follow up on the implementation of predefined data quality controls. Ensure structural validations are carried…