Marketing Analytics Acquisition Director
About The Position
Huntington is seeking a Marketing Analytics Acquisition Director to lead a team of Data Scientists building and deploying data science solutions for important, challenging projects. The role sets the strategy and vision for marketing analytics and data science, aligning analytical capabilities and priorities with changing business needs. Its focus includes consumer acquisition marketing, particularly checking/DDA acquisition, digital marketing, and digital channel performance. The director leads campaign measurement and advanced marketing effectiveness analysis, including media mix modeling, and guides analytical and model development from business requirements and data sourcing through communication of results and production scoring where appropriate. The role also develops campaign forecasts and pro formas, prioritizes the team's work, partners with cross-functional stakeholders, communicates findings to leadership, evaluates emerging tools, and coaches and develops team members. The position is listed as an office workplace. Huntington describes an approach that combines in-office and work-from-home arrangements for certain eligible positions outside its branch network; specific arrangements are 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, and presentation/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.
- 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, SAS) and at least one database architecture (SQL, NoSQL).
- Strong experience with cloud machine learning technologies such as AWS SageMaker.
- Strong experience with machine learning environments such as TensorFlow, scikit-learn, and caret.
- Expert understanding of statistical methods and skills such as Bayesian networks inference, linear and non-linear regression, and hierarchical or mixed models/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, especially 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 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; 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; identify current and future skill needs and build capabilities required to achieve organizational goals.
- Perform other duties as assigned.
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What This Job Offers
Job Type
Full-time
Career Level
Director
