Director, Data Analytics

Unum Group • Portland, ME

1d

About The Position

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.

Requirements

• Bachelor’s degree required.
• A minimum of 8+ years hands-on experience acting as a Data Engineer, BI Analyst or Data Scientist.
• Proven ability to develop, coach and lead technical staff
• Deep experience with analytics programming languages (SQL/R/Python)
• Deep experience with modern BI toolsets (Tableau, Alteryx, PowerBI, or equivalent)
• In-depth understanding of data profiling, statistical analysis and data modeling concepts
• Adept in extracting, loading and leveraging data in data warehouse, transactional databases, object stores & API based environments
• 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.

Nice To Haves

• Master’s degree in Information Technology, Mathematics, or Statistics preferred.

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 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.

Benefits

• 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
• healthcare benefits (health, vision, dental)
• insurance benefits (short & long-term disability)
• performance-based incentive plans
• paid time off
• 401(k) retirement plan with an employer match up to 5% and an additional 4.5% contribution whether you contribute to the plan or not.

What This Job Offers

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