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Director, Data Analytics

Job in Portland, Cumberland County, Maine, 04122, USA
Listing for: Unum
Full Time position
Listed on 2026-09-10
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 134400 - 224000 USD Yearly USD 134400.00 224000.00 YEAR
Job Description & How to Apply Below

When you join the team at Unum, you become part of an organization committed to helping you thrive. Here, we work to provide the employee benefits and service solutions that enable employees at our client companies to thrive throughout life’s moments. And this starts with ensuring that every one of our team members enjoys opportunities to succeed both professionally and personally.

To enable this, we provide:

  • Award-winning culture
  • Inclusion and diversity as a priority
  • Performance Based Incentive Plans
  • Competitive benefits package that includes:
    Health, Vision, Dental, Short & Long-Term Disability
  • Generous PTO (including 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
  • * All the benefits listed above are subject to the terms of their individual Plans.

And that’s just the beginning… With 10,000 employees helping more than 39 million people worldwide, every role at Unum is meaningful and impacts the lives of our customers. Whether you’re directly supporting a growing family, or developing online tools to help navigate a difficult loss, customers are counting on the combined talents of our entire team. Help us help others, and join Team Unum today!

General

Summary:

General Summary This position requires a unique balance of technical, data and analytical expertise and a business strategist mindset. This role is responsible for overseeing multi-disciplinary teams in the building of data sources, data pipelines and the application of a broad array of analytics tools and predictive models to deliver data driven insights; and, then translating these insights into business value.

This is a leadership position that requires strong partnerships across key business areas to advance the use of analytics. This position is expected to provide strategic analytical input using new data assets and tools to improve, and transform as needed, existing business processes, customer experience, and business results. This position requires the ability to lead a data and analytics team in real business applications;

the individual will be a critical bridge between data and analytics development and business partners to help optimize business performance.

Principal Duties and Responsibilities
  • Responsible for defining their team's analytics strategy in partnership with Leadership across the organization.
  • Define the tools, methodologies and staff mix utilized by the team as well as project priorities for the department.
  • Define, develop and implement best practices in support of data & analytics projects to drive consistency and standardization of data usage and analytics practices.
  • Drive business stakeholder buy-in for data consumption, operationally and analytically.
  • Responsible for recruiting, training, performance management, coaching, development and retention of staff is at its highest level.
  • Builds bench strength, retaining and motivating high performers.
  • 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 strategies.
  • 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…
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