Description Segment Data & AI Transformation Director Summary: Our goal is to be the best performing Regional Bank in America, and to achieve this goal, we will need to strategically leverage Data Analysis & Artificial Intelligence (AI). We are reimagining how Data & AI is used across the bank to better serve our customers, support our colleagues, and lead us into the next generation of banking. We’re looking for an individual, experienced with the use of Data & AI in a Business function, to provide oversight and prioritization of our efforts. As we grow our expertise in the data science and analytics team, we need a leader who will serve as the liaison & advocate for leveraging Data & AI to develop experts in modeling with Product & Business owners across the Consumer Regional Bank. We are looking for a leader who has a passion for identifying opportunities, driving change, and partnering with both Business & Data teams to attain shared outcomes. Duties and Responsibilities: + Shape the Consumer Bank (CRB) Data & AI roadmap + Identify and Ideate on Data & Analytics and Artificial Intelligence initiatives to meet Customer needs and /or achieve & exceed Segment goals + Drive use cases and lead change management to incorporate D&A and AI into the Products / Business areas + Lead impact tracking for Analytics and AI within the Segments and partner with the Enterprise Data Strategy Director + Share insights from Analytics use cases, and iterate on future revisions and new use cases + Ensure all Models, AI / ML models & tools, and user Developed tools are appropriately documented and approved before use + Sets the strategy and tone for the data science strategy and vision for the future. + Prioritizes a portfolio of analytical projects based on business value, technological readiness, and team capabilities. + Provides leadership, coaching, and mentoring to team members and analytics external to their team. + Identifies the roles, skills, and knowledge required to achieve enterprise goals, and forecasts new skill requirements with external business leaders. + 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 the execution of work, develops KPIs, monitors progress, and ensures the achievement of team goals and business 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 and business partners through change and serves as a role model for the practice of analytics. + Performs other duties as assigned. Basic Qualifications: + Master’s Degree in computer science, statistics, economics or related fields + 12+ years of experience in strategy, management consulting, or similar skillset, experience working with analytics, and technical leadership and management experience on data-centric products Preferred Qualifications: + Ability to foster an inclusive and innovative working environment within the analytics team and across businesses + Hands-on manager with a proven track record of leading and growing successful data teams + Demonstrated negotiation, influencing, partnership & presentation/communication skills + Ability to understand business challenges and translate them into value added, data driven solutions + Recognized expert in multiple data science techniques including experimental design and predictive modeling + Experienced in leading teams using both structured and unstructured data sources to solve business problems + Willingness and ability to learn new technologies on the job + Demonstrated ability to communicate complex results to technical and non-technical audiences + Financial Services background with experiences in marketing, logistics, risk assessment, and regulatory oversight + Experience leading teams to conduct statistical analysis and ensure quality in their analyses + Experience with leading teams using big data analysis tools and techniques + Experience with ensuring quality control and risk management are built into analytics processes + Expert understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling + Demonstrated Expertise with at least one Data Science environment (R/RStudio, Python, SAS) and at least one database architecture (SQL, NoSQL). + Ability to teach others to use these tools and develop best practices. + Strong experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker) + Strong experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret) + Total Base Pay Range: 125,000.00 - 255,000.00 USD Annual #LI-MC1 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. Compensation Range: Total Base Pay Range 125,000.00 - 255,000.00 USD Annual The compensation range represents the low and high end of the base compensation range for this position. Actual compensation will vary and may be above or below the range based on various factors including but not limited to location, experience, and performance.  Colleagues in this position are also eligible to participate in an applicable incentive compensation plan.  In addition, Huntington provides a variety of benefits to colleagues, including health insurance coverage, wellness program, life and disability insurance, retirement savings plan, paid leave programs, paid holidays and paid time off (PTO). Huntington is an Equal Opportunity Employer. Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details. Note to Agency Recruiters: Huntington will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington colleagues, directly or indirectly, will be considered Huntington property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.