Sr. Data Solutions Lead - Enterprise

Unum; Atlanta (GA); On-site; USD 120,000 - 170,000; Full time

Job summary

Unum, a Fortune 500 employee benefits leader, seeks a Sr. Data Solutions Lead to translate business needs into clear data requirements and define data capabilities for delivery across teams. You will assess assets, identify gaps, and ensure data solutions meet business needs from discovery through delivery.

This campus-based role requires 3 days onsite weekly. Join a fast-paced environment that values entrepreneurial spirit, customer experience, and data-driven decision making across

Qualifications

• Bachelor's degree or equivalent combination of education and experience.
• 6+ years of experience in data analysis, data management, data solutions, or related data-focused roles.
• Strong data analysis and profiling skills with the ability to identify data quality issues.
• Strong SQL skills with ability to analyze, profile, and validate complex data.
• Proficiency in defining detailed data requirements and source-to-target mappings.
• Working knowledge of conceptual and logical data modeling and data flows.
• Ability to navigate ambiguous business needs and translate them for technical teams.
• Excellent communication and facilitation skills across business, architecture, engineering, testing, and delivery teams.
• Experience with Agile development methodologies and the Software Development Life Cycle (SDLC).

Responsibilities

• Partner with business and technology stakeholders to understand outcomes and translate into data requirements.
• Assess existing data assets and determine best sources; identify opportunities to reuse or extend.
• Perform data profiling and analysis to identify gaps in availability, quality, lineage, and dependencies.
• Translate complex data needs into detailed requirements, source-to-target mappings, and acceptance criteria.
• Collaborate with Data Architects and Engineers to ensure feasibility and alignment with standards.
• Provide continuity from discovery through delivery, resolving evolving requirements and data issues.
• Define validation needs with delivery and test teams to ensure delivered solutions meet expectations.
• Identify opportunities to reuse or extend enterprise data capabilities.

Skills

Data analysis

SQL

Data profiling

Requirements gathering

Data modeling

Stakeholder communication

SDLC/Agile

Education

Bachelor's degree or equivalent

Job description

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.

Job Specifications

• Bachelor's degree, or equivalent combination of education and experience.
• 6+ years of experience in data analysis, data management, data solutions, or related data-focused roles.
• Strong data analysis and profiling skills, with demonstrated ability to identify and assess data quality issues, patterns, dependencies, and anomalies across complex data sets.
• Strong SQL skills with demonstrated ability to analyze, profile, and validate complex data.
• Proficiency in defining detailed data requirements and source-to-target mappings, including data and transformation rules.
• Working knowledge of conceptual and logical data modeling, relational data structures, and data flows across source systems and downstream consumers.
• Experience assessing existing data assets and capabilities to determine the best data sources and identify opportunities for reuse or extension.
• Demonstrated ability to navigate ambiguous business needs, identify underlying data needs, and translate them into actionable requirements for technical teams.
• Strong critical thinking and problem-solving skills with the ability to evaluate options, make recommendations, and drive resolution of complex data issues.
• Excellent communication and facilitation skills with demonstrated ability to influence and build alignment across business, architecture, engineering, testing, and delivery teams.
• Experience working throughout the solution delivery lifecycle, including Agile development methodologies and the Software Development Life Cycle (SDLC).