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Job Location: Portland, ME
Unum is a company of people serving people. As one of the world’s leading employee benefits providers and a Fortune 500 company, Unum’s financial protection benefits help protect more than 36 million working people and their families from the financial impact of illness or injury.
Unum’s two distinct, but similarly focused US businesses – Unum US and Colonial Life – are each a market leader in making disability, life, accident, critical illness, dental, and vision insurance accessible in the workplace.
Headquartered in Chattanooga, Tennessee, Unum also has significant US operations in Portland, Maine and Baton Rouge, Louisiana – and over 35 field offices nationwide. Colonial Life is headquartered in Columbia, South Carolina with over 40 field offices nationwide.
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 Finance and 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 Finance and business processes, pricing strategy, 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 Finance and business partners to help optimize business performance and Finance processes.
Principal Duties and Responsibilities
- Responsible for defining their team’s analytics strategy and priorities 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 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.
Job Specifications
- Bachelor’s degree required. Master’s degree in Information Technology, Mathematics, Statistics or Related Field preferred.
- A minimum of 8+ years hands-on experience acting as an Actuary, Data Engineer, BI Analyst or Data Scientist.
- Proven ability to develop, coach and lead technical staff
- Experience with analytics programming languages (SQL/R/Python)
- Experience with modern BI toolsets (Tableau, Alteryx, PowerBI, or equivalent)
- In-depth understanding of data profiling, statistical analysis and data modeling concepts
- Understanding of Finance functions: pricing and customer strategy development, actuarial methodology, accounting, and financial reporting.
- Understanding of Unum’s business and the competitive market, and interest in applying analytics to develop and deliver business-leading strategy in the markets in which Unum operates.
- Data Architecture and Infrastructure: 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 including senior management and external contacts.
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Our company is built on helping individuals and families, and this starts with our employees. We want employees to maintain a positive balance, which is why we provide access to the benefits and resources they need to invest in themselves. From our onsite fitness facilities and generous paid time off to employee professional development programs, we are committed to helping employees live and work their best – both inside and outside the office.
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.
Company:
Unum
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