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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # SVP Head of Marketing Data and Platforms - **Company:** U.S. Bank, National Association - **Location:** Chicago, IL, United States - **Experience:** Expert - **Salary:** $170,255 - $200,300 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Business Analytics Applications, Data Analysis, Data Governance, Marketing Information Systems, Metadata, Data Strategy, Information Technology, Data Analytics, Data Management - **Published:** November 7, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=a85f9938749e0f1a ## About the Role * Bachelor's degree in an analytical field (e.g., Mathematics, Computer Science, Statistics, Finance, or related) * 12+ years of relevant experience in business insights and data analytics Preferred Skills & Experience: * Master's degree in Data Analytics, Business Administration, Finance, Economics, or a related field. * 15+ years of leadership experience across data analytics, data products, business intelligence, or enterprise data strategy. * Experience establishing and scaling data product operating models, including business ownership, governance, adoption, and value realization. * Demonstrated ability to translate data and analytics investments into measurable business outcomes. * Proven success influencing senior executives and shaping business strategy through data, analytics, and insights. * Strong executive communication, stakeholder management, prioritization, and organizational change capabilities. * Track record of leading enterprise transformation and fostering data-driven decision-making. * Experience in financial services or another highly regulated industry preferred. Data, Analytics & Domain Expertise * Deep understanding of data products, analytics operating models, enterprise data strategy, and trusted data management. * Experience leveraging analytics, AI, and customer insights to improve marketing effectiveness, customer engagement, and business growth. * Knowledge of marketing, customer, digital, activation, and performance measurement frameworks. * Strong understanding of data governance, stewardship, quality, metadata, lineage, privacy, risk, and responsible data use. * Experience translating complex business and customer needs into actionable insights and measurable outcomes. * Ability to balance strategic vision with execution and drive enterprise adoption of data products and analytics capabilities. ## Description The Marketing Data Products & Platforms (DPP) Leader serves as the MACX business owner for the marketing data and analytics ecosystem that powers enterprise and line-of-business decision-making. This leader is accountable for Marketing's data product strategy, governance, adoption, and modernization agenda, including advancing a scalable data-as-a-product operating model. The role will transform data into a strategic business asset by establishing trusted, reusable, and well-governed data products as the preferred foundation for analytics, insights, activation, and performance measurement. This leader will align investments with business priorities, champion a data-driven culture, and deliver measurable improvements in marketing effectiveness, customer outcomes, and decision-making., Marketing Data Strategy & Operating Model * Define and lead the multi-year Marketing Data Products & Platforms (DPP) strategy and roadmap, aligning data investments with business priorities, customer outcomes, and enterprise objectives. * Establish and scale a data-as-a-product operating model, including business ownership, governance, adoption, and value realization. * Set portfolio priorities and investment strategies that maximize business impact, improve marketing effectiveness, and accelerate data-driven decision-making. * Partner across Marketing, Analytics, Data, Technology, and Business leadership teams to shape and execute the future-state marketing data and analytics strategy. Data & Analytics Modernization * Lead Marketing's analytics modernization strategy, ensuring capabilities evolve to meet current and future business needs. * Champion the adoption of trusted, reusable, and well-governed data products that improve measurement, insights, activation, and decision-making. * Drive the transition from fragmented data assets toward standardized "gold" data products that serve as the foundation for analytics across Marketing. * Partner with business leaders to identify and prioritize high-impact analytics opportunities that drive measurable business outcomes. * Leverage analytics, AI, and emerging data capabilities to enhance marketing performance, customer outcomes, and business growth. Governance, Quality & Trust * Operationalize governance and "quality by design" across data ecosystems (access, stewardship, controls) * Strengthen confidence in data through consistent governance, business ownership, and clear definitions of critical data assets. * Ensure data products and analytics outputs meet regulatory, risk, and business requirements while maintaining trust across stakeholders. Business Partnership & Influence * Serve as a strategic advisor to senior business leaders on analytics, insights, and data-driven decision-making * Build deep understanding of line-of-business goals, identifying risks and opportunities * Communicate executive-ready updates, clearly articulating tradeoffs, risks, and dependencies Adoption & Value Realization * Drive MACX adoption of data products, self-service analytics, and data-driven decision-making across Marketing and business stakeholders. * Champion data literacy and enable teams to effectively leverage trusted data assets to improve business performance. * Establish adoption, usage, and value realization metrics to measure the impact of data products and analytics investments. * Foster a culture of continuous improvement by enhancing the overall data consumption experience and simplifying access to trusted insights. Leadership & Talent Development * Build, lead, and develop high-performing teams across data products, analytics, governance, and business intelligence. * Foster a culture of accountability, continuous improvement, and data-driven decision-making. * Develop future leaders and strengthen organizational capabilities in data products, analytics, and business strategy. * Oversee strategic partnerships and external vendors to accelerate business outcomes and innovation. What Success Looks Like * Establish Marketing's data and analytics ecosystem as the preferred foundation for analytical decision-making. * Make trusted "gold" data products the default source of truth, reducing duplication and increasing consistency, transparency, and reuse. * Execute a multi-year marketing data and analytics strategy that improves marketing effectiveness, customer outcomes, and measurable business value. * Increase adoption of data products and self-service analytics, enabling faster, more informed, and more consistent decision-making. * Foster a data-driven culture grounded in trust, accountability, transparency, and continuous value realization.