Marketing Analytics Acquisition Director

Huntington National Bank•Columbus, OH

1d•Onsite

About The Position

Huntington is seeking a Marketing Analytics Acquisition Director to lead a team of Data Scientists working on data-driven projects. The role sets the strategy and vision for marketing analytics and data science, aligning analytical capabilities and priorities with business needs. It leads analytics for consumer acquisition marketing, particularly checking/DDA acquisition, digital marketing, and digital channel performance. The Director oversees campaign measurement and advanced marketing effectiveness approaches, including test/control design, incrementality measurement, post-campaign analysis, and support for media mix models. The role leads analytical and model development from business requirements and data sourcing through analysis, communication of results, and production scoring where appropriate. It also develops campaign forecasts and pro formas, identifies customer segments and trends, prioritizes the team's work, and partners with business and technical stakeholders to turn business needs into actionable recommendations. Additional responsibilities include presenting analytical findings to leadership, assessing emerging tools and methods, and coaching and developing team members. The position is office-based; the posting notes that some positions may be eligible for flexible work arrangements, with specific arrangements provided by the hiring team.

Requirements

Master’s degree in computer science, statistics, economics, or a related field.
10+ years of experience in strategy, management consulting, or a similar skillset, with experience working with analytics and technical leadership and management experience on data-centric products.

Nice To Haves

Proven track record as a hands-on manager leading and growing successful data teams.
PhD in computer science, statistics, economics, or a related field.
Ability to foster an inclusive and innovative working environment.
Demonstrated negotiation, influencing, partnership, presentation, and communication skills.
Ability to understand business challenges and translate them into value-added, data-driven solutions.
Strong knowledge of predictive modeling methodology.
Experience leveraging 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.
Expertise with at least one data science environment (R/RStudio, Python, or SAS) and at least one database architecture (SQL or NoSQL).
Strong experience with cloud machine learning technologies such as AWS SageMaker.
Strong experience with machine learning environments such as TensorFlow, scikit-learn, or caret.
Expert understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical models, and mixed or multi-level modeling.
Financial Services background.

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 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 and other advanced measurement approaches to assess marketing effectiveness, quantify incremental impact, and inform media investment and budget allocation decisions.
Lead end-to-end analytical and model development, 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; manage the team's overall book of work and ensure 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 team capabilities and marketing measurement practices.
Provide leadership, coaching, and development to team members, identifying current and future skill needs and building capabilities required to achieve organizational goals.
Perform other duties as assigned.