Director of Analytics

Our Story
Unum Technology Centre in Carlow serves as a strategic software development and IT services centre supporting Unum, a leading provider of income protection in the US. Our team of IT professionals build solutions and critical business applications to digitally transform the way we do business.

Unum is looking a Director of Analytics to join the Decision Technologies team. This leadership position that will be instrumental in transforming Unum from a traditional insurance player to a leading data first digital insurance company.

As the Director of Analytics for Decision Technologies, you will partner closely with business leaders in researching a wide range of topics. To be successful in this role, you must be able to lead a team in real business applications, construct statistical insights/models with your teammates, build and implement solutions with engineers. Furthermore, you will provide strategic analytical input using new data assets and tools to improve, and transform as needed, existing business processes, customer experience, and business results. In this role, you will serve as a vital link between data and analytics development by UDT Data Scientists and business partners, assisting in the optimization of business performance.

• Bachelor's degree required. Master's degree in Information Technology, Mathematics, or Statistics preferred.
• A minimum of 8+ years hands-on experience acting as a Data Analyst, Data Scientist, Program Manager (analytical projects) or Product Owner (analytical products) . Based on specific team composition and goals one discipline may carry more weight than the others.
• Proven ability to develop, coach and lead technical staff
• Experience with analytics programming languages (SQL/R/Python) or equivalent practical experience supporting technical teams that use these programming languages.
• Understanding of data profiling, statistical analysis and data modeling concepts as it relates to solving business problems.
• Familiarity in extracting, loading and leveraging data in data warehouse, transactional databases, object stores & API based environments
• Data Architecture and Infrastructure: Good understanding of data architecture principles and related infrastructure requirements, covering on-prem and Cloud platforms.
• Strong problem solving, project management, and storytelling 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.

• 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 UDT Data Scientists in the construction of statistical insights, predictive models, 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.