Marketing Analytics Acquisition Director

Huntington Bancshares, Inc.

Columbus (OH)

On-site

USD 180,000 - 240,000

Full time

14 days+

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Job summary

Huntington Bancshares, Inc. is seeking a Marketing Analytics Acquisition Director to lead a team of data scientists focused on modeling complex business problems and deriving marketing insights.

You will guide strategy, develop analytics for consumer acquisition, and drive measurement frameworks across digital channels. The ideal candidate has a strong background in predictive modeling, big data analytics, and leadership, with a track record of developing others and delivering data-driven

Qualifications

  • Master’s degree in computer science, statistics, economics or related fields.
  • 10+ years of experience in strategy, management consulting, or similar skillset with analytics leadership on data-centric products.
  • PhD in related fields is preferred.
  • Ability to lead and develop data science teams and translate business needs into analytics.

Responsibilities

  • Set the strategy and vision for marketing analytics and data science aligned with business needs.
  • Lead analytics for consumer acquisition marketing and digital channel performance.
  • Develop and execute campaign measurement strategies (test/control, incrementality, ROMI).
  • Support MMM and other advanced measurement approaches to assess marketing effectiveness.
  • Lead end-to-end analytical and model development, including production scoring when applicable.
  • Develop campaign forecasts and pro forma analyses to improve targeting and investment decisions.
  • Prioritize projects, manage the team’s book of work, and ensure execution.
  • Collaborate with Marketing, Product, Digital, Finance, and Analytics to translate needs into actionable recommendations.
  • Create clear reporting and presentations translating findings into business insights for leadership.
  • Evaluate new tools and methods to strengthen the team’s capabilities.

Skills

Leadership
Communication
Statistical analysis
Data-driven decision making
Mentoring/development

Education

Master’s degree in computer science, statistics, economics or related fields
PhD in computer science, statistics, economics or related fields

Tools

R/RStudio
Python
SAS
SQL
NoSQL
AWS Sagemaker
TensorFlow
scikit-learn

Job description

Description
Summary:

We are in search of a Marketing Analytics Acquisition Director to develop experts in modeling complex business problems and discovering business insights using statistical, algorithmic, mining, and visualization techniques, related to marketing acquisition analytics. 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:
  • Set the strategy and vision for marketing analytics and data science, aligning analytical capabilities and priorities with evolving business needs and opportunities.
  • Lead analytics supporting consumer acquisition marketing, with particular emphasis on checking/DDA acquisition, digital marketing, and digital channel performance.
  • Develop and execute campaign measurement strategies, including test/control design, incrementality measurement, post-campaign analysis, and evaluation of conversion, response, ROMI, and other key performance measures.
  • Support the development and application of media mix models (MMM) and other advanced measurement approaches to assess marketing effectiveness, quantify incremental impact, and inform media investment and budget allocation decisions.
  • Lead the end-to-end analytical and model development process, including defining business requirements, sourcing data, developing analytical approaches and models, communicating results, and implementing production scoring where appropriate.
  • Develop campaign forecasts and pro formas and identify customer segments, behaviors, and trends to improve targeting, campaign strategy, and marketing investment decisions.
  • Prioritize analytical projects and use cases based on business value, strategic importance, and technological readiness, while managing the team's overall book of work and ensuring execution against priorities.
  • Partner with Marketing, Product, Digital, Finance, Data & Analytics, and other stakeholders to translate business needs into analytical approaches and actionable recommendations.
  • Build clear, concise reporting and presentations that translate complex analytical findings into business insights and recommendations for leadership and business partners.
  • Evaluate emerging analytical tools, technologies, and methodologies and assess opportunities to strengthen the team's capabilities and marketing measurement practices.
  • Provide leadership, coaching, and development to team members, identifying current and future skill needs and building the capabilities required to achieve organizational goals.
  • Perform 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

Preferred Qualifications:
  • Hands-on manager with a proven track record of leading and growing successful data teams
  • PhD in computer science, statistics, economics or related fields
  • 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


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.

Huntington is an Equal Opportunity Employer.

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

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