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About the Role

We’re seeking a strategic and technically savvy Manager, Data & AI Platforms to lead the governance, adoption, optimization, and operational stewardship of our enterprise Data & AI ecosystem. In this role, you'll drive the strategy and oversight of modern data, analytics, and AI platforms, ensuring they are secure, scalable, cost-effective, and positioned to deliver measurable business value. You'll partner across Data Engineering, Analytics, AI, Architecture, Security, and Governance teams to establish platform standards, improve adoption, optimize investments, and enable innovation across the organization.

Responsibilities

Enterprise governance and operational oversight of Data & AI platforms
Platform adoption, utilization, and value realization
Vendor and stakeholder relationship management
Platform cost optimization and financial accountability
Access management, governance, and compliance
Cross-functional collaboration to support analytics and AI innovation
Scalable processes, standards, and guardrails that enable responsible platform usage
Own day-to-day management of enterprise Data & AI platforms
Establish and enforce platform governance standards, policies, and operating procedures
Measure platform utilization, adoption, and value realization across business and technology teams
Oversee the execution of a team's analytics strategy
Guiding their team on the usage of tools, methodologies and ensuring their team is tracking towards goals and project deadlines
Oversee the implementation of best practices in support of data & analytics projects to drive consistency and standardization of Data and AI platforms usage
Responsible for recruiting, training, performance management, coaching, development and retention of staff within their team
Oversees the construction of predictive models, data pipelines and analytics workflows in the support of operational and analytics objectives
Will also meaningfully contribute to the development of these assets as necessary
Work with partners to translate business needs into a technical plan, identify available data, communicate findings and results, and develop implementation tactics
Provides consulting support to business areas around conformance to corporate policies/procedures and controls, compliance as needed
Understand theory and application of current and emerging analysis methods and data tooling to drive and recommend continuous improvement opportunities
Identify internal and external data sources, construct analytical databases and develop data pipelines that enhance business performance
Discuss data transformation, integration, and reporting requirements with both technical and non-technical audiences
Will oversee the mentoring and training of team members on the usage of statistical methods, tools and development of data assets
Perform other related duties as assigned

Requirements

5+ years hands-on experience acting as a Data Engineer, BI Analyst or Data Scientist
Prior leadership and/or management experience preferred
Experience with analytics programming languages (SQL/R/Python)
Experience with modern BI toolsets (Snowflake, Databricks, Tableau, Alteryx, PowerBI, or equivalent)
In-depth understanding of data profiling, statistical analysis and data modeling concepts
Adept in extracting, loading and leveraging data in data warehouse, transactional databases, object stores & API based environments
Good understanding of data architecture principles and related infrastructure requirements, covering on-prem and Cloud platforms
Strong problem solving, programming and project management skills
Excellent ability to interpret or correlate an extensive variety of information and decompose complex analytical and technical problems and translate them into simple business solutions to be presented to key stakeholders
Ability to think conceptually, handle ambiguity, solve complex problems and make thoughtful recommendations
Excellent communications skills and abilities working with all corporate levels and external contacts
Demonstrated mentoring/coaching skills developing technical implementation employees

Skills

Data & AI Platforms
Cloud Data
Analytics
AI Governance
Platform Operations
Business Transformation
SQL
R
Python
Snowflake
Databricks
Tableau
Alteryx
PowerBI
Data profiling
Statistical analysis
Data modeling
Data Architecture
Problem solving
Programming
Project management
Communication

Location

Chattanooga, TN

Work Type

Campus-based
Hybrid

Experience Level

5+ years hands-on experience
Prior leadership and/or management experience preferred

Education Level

Bachelor’s degree in information technology, mathematics, or statistics preferred

Salary/Compensations

$98,340.00-$201,900.00

Benefits

Health
Vision
Dental
Short & Long-Term Disability
Performance Based Incentive Plans
Generous PTO
Paid time to volunteer
Up to 9.5% 401(k) employer contribution
Mental health support
Career advancement opportunities
Student loan repayment options
Tuition reimbursement
Flexible work environments
Healthcare benefits (health, vision, dental)
Insurance benefits (short & long-term disability)
401(k) retirement plan with an employer match up to 5% and an additional 4.5% contribution

About the Company

Unum and Colonial Life are part of Unum Group, a Fortune 500 company and leading provider of employee benefits to companies worldwide.
Headquartered in Chattanooga, TN, with international offices in Ireland, Poland and the UK, Unum also has significant operations in Portland, ME, and Baton Rouge, LA - plus over 35 US field offices.
Colonial Life is headquartered in Columbia, SC, with over 40 field offices nationwide.

Equal Opportunity

Unum is an equal opportunity employer, considering all qualified applicants and employees for hiring, placement, and advancement, without regard to a person's race, color, religion, national origin, age, genetic information, military status, gender, sexual orientation, gender identity or expression, disability, or protected veteran status.