Data Science Manager

Hybrid Work Model- Van Wert or Dublin, OH

As the Data Science Manager, you will be responsible for leading, mentoring, and growing a team of data scientists, ML engineer and analysts within our Data Science COE. You will play a key role in shaping the direction of our data science initiatives, ensuring that they align with business objectives and deliver measurable value. This role requires a strong blend of technical expertise, leadership, and people management skills to foster a collaborative and innovative team environment. 

How You Will Make an Impact

• Establishes operational objectives, policies, procedures, and work plans and delegates assignments to the team(s)
• Manage the data analysis and design of analytics products across a focused area of the Central Insurance business value stream to enable data driven business decisions that will drive performance and lead to the accomplishment of annual goals 
• Translate complex business requirements into data requirements and work with internal customers to define data requirement details based on expressed partner needs
• Lead structured, end-to-end analysis to inform product strategy, data architecture, and reporting decisions
• Analyze existing datasets and interfaces to understand and document current state data architectures
• Design future state data architectures by applying data requirements, data profiles and business rules to current state architectures in alignment with best practices and standards
• Drive data architecture that enforces consistency across the data landscape with an emphasis on single sources of truth
• Perform extensive data profiling to understand data behavior and business rules
• Thoroughly document data architecture solutions, business requirements, training material and business processes for both business and technical audiences
• Drive adoption of and socialize data products with end users through user training
• Leverage frameworks for repeatable validation of data integrity within data products supporting accurate and consistent reporting and analytics
• Support standard methodologies in data analysis: data integrity, unit testing, data quality control, system integration testing, modeling, validation, and documentation
• Adequately staff the Data Analytics team while adhering to the analytics budget
• Lead and develop others by building skills through coaching, mentoring, and ongoing training & development
• Foster strong and meaningful relationships within the team, across the organization, and with our corporate partners

What You Will Bring

• Master’s degree in Computer Science or related field and 2 years of related experience
  • Or Bachelor’s degree in Computer Science or related field and 4 years of related experience
  • Or 6 years related experience
• Strong analytical and problem-solving skills
• Strong data visualization development experience
• Ability to set priorities and plans to meet business goals and objectives
• Ability to shift & balance strategic, high-level thinking with attention to detail
• Ability to lead, motivate & influence without having formal authority
• Ability to act as a thought leader with a focus on innovative & high-quality solutions
• Ability to work both independently and in a team environment with internal /external customers
• Ability to understand, design & implement end-to-end BI workflows
• Strong organizational, planning & problem-solving skills
• Ability to communicate with stakeholders and business partners

Preferred

• Excellent problem-solving and interpersonal communication skills
• Proven ability to deliver on commitments
• Comfortable working in a fast-paced, results-oriented environment
• Business process acumen and ability to map processes to data models and architectures
• Experience analyzing large structured and unstructured datasets
• Demonstrated ability to develop structured analysis that support data architecture design
• Experience defining data architectures to support data visualization tools
• Experience defining data architectures to support semantic data layers
• Solid understanding of various database management systems
• Working understanding of Agile methodologies and principles
• Experience with cloud environments
• Experience with Big Data technologies