Analytics Product Owner - Onsite: Columbus or NYC

Huntington National Bank•Easton, OH

13d•$93,000 - $189,000•Onsite

About The Position

This role reports into the Head of Digital Strategy, and connects Mortgage product line with Data & Analytics partners to ensure priorities are translated into clear, actionable roadmaps, models, and data products that drive measurable outcomes that support business needs. The Analytics Product Owner will lead the design and delivery of classification, prediction and segmentation models to understand customer behavior and lifecycle dynamics to inform acquisition targeting, retention strategies, cross-sell optimization, cost saving and revenue growth initiatives. This role serves as the primary liaison between Business Segment Product Managers, Business Analytics, Enterprise Analytics, and the Chief Data and Architecture Office for analytics projects and value streams. The position requires translating business needs into actionable user stories and ensuring clarity of requirements throughout the analytics development lifecycle. The role involves supporting Book-of-Work Management by maintaining visibility of value stream needs, long term strategy, and financial opportunities to allow for prioritization of resources between value streams. The Analytics Product Owner will develop and maintain a comprehensive strategy for analytics solutions related to the value stream including software tools, data infrastructure changes, application development, machine learning models, and artificial intelligence tools, prioritizing features based on business value and feasibility. Collaboration with strategy teams and Segment stakeholders to align on vision and roadmap is essential. Continuous gathering and refining of analytics requirements within the value stream to ensure analytics products are aligned with business goals is also a key responsibility. Finally, the role supports the deployment of analytics products, implements change management processes, and establishes mechanisms to track the performance of the analytics products, partnering with Enterprise Analytics and Business Analytics teams to ensure on-going monitoring and reporting.

Requirements

Bachelor's degree
7 years of Online/Mobile Product Management or Digital project delivery experience in Consumer or Business and Commercial Banking

Nice To Haves

Previous experience building and leading high-performing teams
Proven experience in product ownership, value stream management, data analytics / business intelligence, or related fields.
Strong understanding of analytics tools, data platforms, and business strategy.
Excellent communication and stakeholder management skills.
Ability to lead cross-functional teams and drive initiatives from concept to execution.
Experience with the application of program execution metrics as well as project management approaches and tools

Responsibilities

Lead the design and delivery of classification, prediction and segmentation models to understand customer behavior and lifecycle dynamics to inform acquisition targeting, retention strategies, cross-sell optimization, cost saving and revenue growth initiatives.
Serve as the primary liaison between Business Segment Product Managers, Business Analytics, Enterprise Analytics, and the Chief Data and Architecture Office for analytics projects and value streams.
Translate business needs into actionable user stories and ensure clarity of requirements throughout the analytics development lifecycle.
Maintain visibility of value stream needs, long term strategy, and financial opportunities to allow for prioritization of resources between value streams.
Develop and maintain a comprehensive strategy for analytics solutions related to the value stream including software tools, data infrastructure changes, application development, machine learning models, and artificial intelligence tools, prioritizing features based on business value and feasibility.
Collaborate with strategy teams and Segment stakeholders to align on vision and roadmap.
Continuously gather and refine analytics requirements within the value stream to ensure analytics products are aligned with business goals.
Support the deployment of analytics products, implement change management processes, and establish mechanisms to track the performance of the analytics products.
Partner with Enterprise Analytics and Business Analytics teams to ensure on-going monitoring and reporting.