Sr. Data Solutions Lead - Enterprise

Location: Atlanta, Georgia, USA

Our Fortune 500 company is driving a digital transformation and looking for forward-thinking innovators to disrupt how our industry thinks about and uses technology. As one of the world's leading employee benefits providers, we help millions of people gain affordable access to benefits that help them protect their families, their finances and their futures.

Are you an asker of questions, a solver of problems, and a challenger of the status quo? Our mission is to provide a differentiated customer experience and exceed the expectations people have of technology at any company — not just insurers.

We are seeking individuals to join our team of talented IT professionals who share never-ending passion and an unwavering focus on our customer experience. Team members comfortable working in an agile, fast-paced, and delivery-focused environment thrive in our environment where we value an entrepreneurial spirit and those who challenge the status-quo.

Unum is changing, and we’re excited about what’s next. Join us.

General Summary

The Sr. Data Solutions Lead shapes data solutions by translating business needs into clear, actionable data requirements and determining how Enterprise Data capabilities can best meet them. This role assesses existing data assets, identifies gaps and opportunities for reuse, and defines the data needed to enable successful delivery. Working across business, architecture, engineering, and delivery teams, the Sr. Data Solutions Lead provides continuity from initial discovery through delivery and validates that data solutions meet the intended business need.

This is a campus-based position requiring 3 days per week onsite.

**Internal employees are encouraged to apply.**

Principal Duties and Responsibilities

Partner with business and technology stakeholders to understand desired outcomes, shape complex data needs, and translate them into clear, actionable data requirements.

Assess existing data assets and capabilities to determine the best sources and identify opportunities to reuse or extend existing solutions.

Perform data profiling and analysis to identify gaps in data availability, quality, lineage, and dependencies and drive resolution before design and build begin.

Translate complex or ambiguous data needs into detailed requirements, source-to-target mappings, and acceptance criteria that provide clear direction for architecture and engineering teams.

Collaborate with Data Architects and Engineers throughout solution design and delivery to ensure requirements are feasible, well understood, and aligned with enterprise data and architecture standards.

Provide continuity from initial discovery through delivery, resolving evolving requirements, dependencies, and data issues that could affect successful delivery.

Partner with delivery and test teams to define validation needs and confirm that delivered solutions meet business and consumer expectations.

Identify opportunities to reuse or extend enterprise data capabilities based on needs and patterns identified through assigned initiatives.

Apply knowledge of enterprise data and the insurance business to recommend solutions that maximize reuse, reduce duplication and rework, and accelerate delivery.

Identify data risks and dependencies early and drive cross-team alignment and resolution.

Represent the end consumer throughout delivery and ensure solutions support the intended business outcome and customer experience.

Additional Locations: Chattanooga, Tennessee, USA, Portland, Maine, USA