Analytics Product Owner
Huntington National Bank
full-time
Posted on:
Location Type: Hybrid
Location: Hoover • Alabama • United States
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About the role
- 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.
Requirements
- 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
- PhD in computer science, statistics, economics or related fields (preferred)
- 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.
Benefits
- Health insurance
- 401(k) matching
- Flexible work arrangements
- Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
predictive modeling methodologystatistical analysisbig data analysis toolsbuilding predictive modelsweb scrapingscalable data pipelinesRPythonSQLAWS Sagemaker
Soft Skills
leadershipcoachingmentoringnegotiationinfluencingpartnershippresentation skillscommunication skillsinclusive working environmentchange management
Certifications
Master’s degree in computer scienceMaster’s degree in statisticsMaster’s degree in economicsPhD in computer sciencePhD in statisticsPhD in economics