Manager, Data & AI Platforms
About The Position
Unum is seeking a strategic and technically capable Manager, Data & AI Platforms to lead the 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 leads a team responsible for analytics strategy and platform usage, with accountability for staff recruitment, training, performance management, coaching, development, and retention. The role oversees predictive models, data pipelines, and analytics workflows, and may contribute to developing these assets. It translates business needs into technical plans, supports compliance with corporate policies and controls, and recommends continuous improvement opportunities across data and analytics methods and tools.
Requirements
- At least 5 years of hands-on experience as a Data Engineer, BI Analyst, or Data Scientist.
- 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 use 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 and correlate varied 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 tool and methodology usage, and track progress toward goals and project deadlines.
- Oversee best practices for data and analytics projects to promote consistent, standardized use of Data & AI platforms.
- Recruit, train, manage performance, coach, develop, and retain team staff.
- Oversee construction of predictive models, data pipelines, and analytics workflows, and contribute to developing these assets as needed.
- Translate business needs into technical plans with partners; identify available data, communicate findings and results, and develop implementation tactics.
- Provide consulting support to business areas on corporate policies, procedures, controls, and compliance as needed.
- 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 development of data assets.
- Perform other related duties as assigned.
Benefits
- Award-winning culture.
- Inclusion and diversity as a priority.
- Performance-based incentive plans.
- Health, vision, dental, and short- and long-term disability benefits.
- Generous paid time off, including paid time to volunteer.
- 401(k) employer contribution of up to 9.5%.
- Mental health support.
- Career advancement opportunities.
- Student loan repayment options.
- Tuition reimbursement.
- Flexible work environments.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
