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 #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.

Requirements

Must-haves

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.
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.
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

Nice-to-haves

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

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Keywords to mirror

pythonsqlmachine learningaws

Platform: workday
Effort: long

Benefits

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