Description

Summary:

• The Segment Analytics Transformation Director is responsible for developing, refining, and communicating the Huntington analytics strategy, for the monitoring of strategic initiatives, and for driving long term growth and competitive advantage with analytics.  This role involves working closely with senior leadership across the enterprise to enhance our analytics organization, infrastructure, and capabilities to achieve organizational objectives.  This leader should be equally comfortable with and conversant in technical subjects and business administration.
• This leader reports to the SVP Retail Payments within the Enterprise Payments Organization

Duties and Responsibilities:

• Identify and ideate on data and analytics initiatives to meet customer needs
• Shape the data and analytics use case roadmap and lead change management efforts to incorporate analytics products into business processes
• Share insights with business segment stakeholders from analytics use cases, and iterate on future revisions and new use cases
• Lead impact tracking for analytics within the segment and partner with the Enterprise Data and Analytics Director on corporate-wide impact tracking
• Ensure that all Models, AI/ML Models and Tools, and User Developed Tools are appropriately documented and approved before use
• Develop, refine, and communicate the business segment analytics strategy and current book of work.
• Coordinate with the Enterprise Data and Analytics Director and the Chief Data and Architecture Officer on enterprise support for the business line analytics needs.
• Support recruiting and onboarding for analytics roles
• Maintain Huntington’s strong risk culture through early identification, communication, and proactive management and mitigation of financial risks.
• Performs other duties as assigned.

Basic Qualifications:

• Master’s degree in a STEM field or Business management discipline
• 10+ years of business experience in analytics, strategic planning, management consulting, or a related field.
• 3+ years of leadership experience managing high performing teams.

Preferred Qualifications:

• Financial Services background with experiences in marketing, logistics, risk assessment, and regulatory oversight
• Ability to foster an inclusive and innovative working environment within the analytics team and across businesses
• Demonstrated negotiation, influencing, partnership & presentation/communication skills
• Ability to understand business challenges and translate them into value-added, data-driven solutions
• Willingness and ability to learn new technologies on the job
• Demonstrated ability to communicate complex results to technical and non-technical audiences
• Proven creative thinking and problem-solving skills.
• Management experience with strong coaching and mentoring skills to lead teams within a culture of trust and inclusivity.
• Self-motivated with the ability to work in a fast-paced environment.
• Excellent organizational skills, able to coordinate multiple projects, and flexible at adjusting assigned priorities when needed.

#Hybrid

#LI-VM1

#LI-BM1

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:

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 par