Analytics Product Owner

Description This employer will not sponsor applicants for the following work visas: F-1 student, H-1B worker, O-1 worker, TN worker, E-3 worker. Applicants must be currently authorized to work in the United States on a full-time basis.

Summary:

As we grow our data science and analytics team in risk management organization, we need a Data Science Manager to develop experts in modeling complex business problems and discovering business insights using statistical, algorithmic, mining, and visualization techniques. We are looking for a manager who has a passion for developing others, driving change, and continuously improving and evolving the application of technologies to meet todays and tomorrow's challenges. You will lead a team of Data Scientists who are responsible for building and deploying Data Science for some of Huntington's most valuable and most challenging data-driven projects.

Duties and Responsibilities:

Sets the strategy and tone for the data science strategy and vision for the future. Prioritizes analytical projects based on business value and technological readiness. Owns the entire model development process, from identifying the business requirements, data sourcing, model fitting, presenting results, and production scoring. Provides leadership, coaching, and mentoring to team members and develops the team to work with all areas of the organization. Identifies the roles, skills, and knowledge required to achieve organizational goals, and forecasts new skill requirements. Leads the evaluation of tools with key stakeholders across varying management levels to prioritize analytics use cases and requests and maintain the overall book of work. Plans and ensures the execution of work, and achievement of team goals. Works with stakeholders to ensure that business needs are clearly understood and that services meet those needs. Anticipates and analyzes trends in technology while assessing the emerging technology's impact(s). Coaches' individuals through change and serves as a role model. Performs other duties as assigned.

Basic Qualifications:

Master's degree in computer science, statistics, economics or related fields 10+ years of experience in strategy, management consulting, or similar skillset, experience working with analytics, and technical leadership and management experience on data-centric products Hands-on manager with a proven track record of leading and growing successful data teams

Preferred Qualifications:

PhD in computer science, statistics, economics or related fields Ability to foster an inclusive and innovative working environment Demonstrated negotiation, influencing, partnership & presentation/communication skills Ability to understand business challenges and translate them into value added, data driven solutions Strong knowledge in predictive modeling methodology Experienced at leveraging both structured and unstructured data sources Willingness and ability to learn new technologies on the job Demonstrated ability to communicate complex results to technical and non-technical audiences Experience conducting statistical analysis Experience with big data analysis tools and techniques Experience building and deploying predictive models, web scraping, and scalable data pipelines Demonstrated Expertise with at least one Data Science environment (R/RStudio, Python, SAS) and at least one database architecture (SQL, NoSQL) Strong experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker) Strong experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret) Expert understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling Financial Services background #LI-KD1

Exempt Status:

(Yes = not eligible for overtime pay) ( No = eligible for overtime pay)

Yes Workplace Type:

Office Our Approach to Office Workplace Type Certain positions outside our branch network may be eligible for a flexible work arrangement. We're combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team. Huntington is an Equal Opportunity Employer.

Tobacco-Free Hiring Practice:

Visit Huntington's Career Web Site for more details. Note to

Agency Recruiters:

Huntington Bank will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington Bank colleagues, directly or indirectly, will be considered Huntington Bank property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.