Manager, Data & AI Platforms

Unum Group • Atlanta, GA

2d • Hybrid

About The Position

Unum is seeking a strategic and technically savvy Manager, Data & AI Platforms to lead governance, adoption, optimization, and operational stewardship of its enterprise Data & AI ecosystem. The role oversees modern data, analytics, and AI platforms to ensure they are secure, scalable, cost-effective, and positioned to deliver measurable business value. It partners with Data Engineering, Analytics, AI, Architecture, Security, and Governance teams to establish platform standards, improve adoption, optimize investments, and enable innovation across the organization. This is a campus-based role requiring four days per week onsite.

The manager owns day-to-day enterprise platform management and oversees the team’s analytics strategy, delivery, and staff development. The role guides the use of tools and methodologies, maintains progress toward goals and deadlines, and contributes to predictive models, data pipelines, and analytics workflows as needed. It also translates business needs into technical plans, advises business areas on policies and controls, and identifies continuous improvement opportunities across data and analytics practices.

Requirements

• At least 5 years of hands-on experience as a Data Engineer, BI Analyst, or Data Scientist; the relative emphasis on each discipline may vary by team composition and goals.
• Experience with analytics programming languages such as SQL, R, or Python.
• Experience with modern BI toolsets such as Snowflake, Databricks, Tableau, Alteryx, Power BI, or equivalent.
• In-depth understanding of data profiling, statistical analysis, and data modeling concepts.
• Ability to extract, load, and leverage data in data warehouses, transactional databases, object stores, and API-based environments.
• Good understanding of data architecture principles and related infrastructure requirements across on-premises and cloud platforms.
• Strong problem-solving, programming, and project-management skills.
• Ability to interpret or correlate a broad range of information, decompose complex analytical and technical problems, and translate them into simple business solutions for key stakeholders.
• Ability to think conceptually, handle ambiguity, solve complex problems, and make thoughtful recommendations.
• Excellent communication skills and ability to work with all corporate levels and external contacts.
• Demonstrated mentoring and coaching skills in developing technical implementation employees.

Nice To Haves

• Bachelor’s degree in information technology, mathematics, or statistics preferred.
• Prior leadership and/or management experience preferred.

Responsibilities

• 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 execution of the team’s analytics strategy, guide use of tools and methodologies, and track progress toward goals and project deadlines.
• Oversee implementation of best practices for data and analytics projects to promote consistent and standardized platform usage.
• Recruit, train, manage performance, coach, develop, and retain team members.
• Oversee construction of predictive models, data pipelines, and analytics workflows, and contribute to developing these assets as necessary.
• Partner with business stakeholders to translate needs into technical plans, identify available data, communicate findings and results, and develop implementation tactics.
• Provide consulting support to business areas regarding conformance with corporate policies, procedures, controls, and compliance requirements.
• Apply knowledge of current and emerging analytical methods and data tools to recommend continuous improvement opportunities.
• Identify internal and external data sources, construct analytical databases, and develop data pipelines to enhance business performance.
• Discuss data transformation, integration, and reporting requirements with technical and non-technical audiences.
• Oversee mentoring and training of team members in statistical methods, tools, and data-asset development.
• Perform other related duties as assigned.

Benefits

• Health insurance
• Vision insurance
• Dental insurance
• Short- and long-term disability insurance
• Generous paid time off, including paid volunteer time
• 401(k) employer contribution of up to 9.5% (described as an employer match up to 5% plus an additional 4.5% contribution regardless of employee contribution)
• Mental health support
• Career advancement opportunities
• Student loan repayment options
• Tuition reimbursement
• Flexible work environments
• Performance-based incentive plans

What This Job Offers

• Job Type: Full-time
• Career Level: Manager