Data Science Manager - Analytic Marketing Delivery

Summary:

Our Enterprise Data and Analytics team is growing. We’re looking for a Data Science Manager to build and develop our Data Science team of 3-5 individual contributors to help lead us into the next generation of banking. We are reimagining how data is used across the bank to better serve our customers, support our communities, and make our colleagues lives better. Our goal is to be the best performing Regional Bank in America, and we need data and analytics to meet that goal.

As we grow our Data Science and analytics team, 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:

• Background in financial services
• Additional advanced degree (Master's, Ph.D., JD, etc.) is preferred but not required.
• Excellent written and verbal communication skills, with a proven ability to interact effectively across all organizational levels up to and including C-suite executives (CMO, CEO, etc).
• Progressive thinker and problem solver, with a strong ability to manage ambiguity/complexity and build consensus around your suggested best solution
• Experience working in a role that necessitated customer and/or prospect targeting delivery, ideally utilizing Salesforce Sales Cloud, Marketing Cloud and/or Financial Services Cloud
• Ability to embrace change, constructively negotiate constraints, and effectively leverage resources to create exceptional outcomes. Consistently inspires high levels of professional demeanor and integrity.

• Preferred Technical Skills:

• Knowledge of IBM Marketing Suite (Campaign, Interact, Detect, etc).
• Demonstrated expertise with at least one Data Science environment (R/RStudio, Python, SAS) and at least one database architecture (SQL, NoSQL)
• Experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker) and other AWS products such as Athena or Glue.
• Experience developing and applying statistical or machine learning methods in a corporate environment through applications such as SAS, SPSS, Python or R.
• Fluent in programming languages such as Python, Java, or C++ in a data mining context,
• Experience with one or more business intelligence and data mining tools such as BusinessObjects, Microstrategy, Tableau, Power BI, or SAS Enterprise Guide/Miner.
• 5+ years of experience with SQL programming and large database applications such as Oracle, DB2, SQL Server, Snowflake, or Teradata.
• 5+ years of experience in data mining / statistical analysis tools such as SAS, SPSS or R.

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Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay)

Workplace Type:

Huntington is an equal opportunity and affirmative action employer and is committed to providing equal employment opportunities for all regardless of race, color, religion, sex, national origin, age, disability, sexual orientation, veteran status, gender identity and expression, genetic information, or any other basis protected by local, state, or federal law.

Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.

Agency Statement: Huntington does not accept solicitation from Third Party Recruiters for any position