Marketing Analytics Acquisition Director

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 #LI-NG1 #LI-Onsite 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. Note to Agency Recruiters: Huntington Bank will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington Bank colleagues, directly or indirectly, will be considered Huntington Bank property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration. Welcome to Huntington! At Huntington, we look out for people. From reinventing banking with game-changing innovations to building an internal culture that creates lifelong bonds, together, we can make people’s lives better. And amazing things happen when we look out for each other. We prove it every day. Whether it’s helping a colleague or collaborating on a new tool that will revolutionize the way people save money, our actions can have a huge impact. Our colleagues look out for people with a Can-Do Attitude, Service Heart and Forward Thinking. Those are our values—simple but powerful. Each of them pushes us do the right thing, to do right by people. Because people are what matter. If that sounds like you, we hope you’ll apply to join our team. If you’d like to learn more about how Huntington looks out for people, visit https://www.huntington.com/lookingout We endeavor to make this site accessible to any and all users. If you would like to contact us regarding the accessibility of this site or if you require a reasonable accommodation to apply for a job or to perform the essential functions of the job, please send an email to HuntingtonCareers@Huntington.com Reasonable Accommodations Reasonable Accommodations Various methods will be used throughout the recruitment process to verify candidate authenticity. Any interviews conducted virtually must be joined from a distraction-free environment, with the candidate on camera and without the use of virtual backgrounds. EEOC Disclaimer Know Your Rights CA Data Privacy CA Data Privacy Rights Tobacco Disclaimer Tobacco-Free Hiring Practice Note to Agency Recruiters: Huntington will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington colleagues, directly or indirectly, will be considered Huntington property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.