Executive Director, Marketing Analytics Platform Strategy

Job description

**This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Executive Director, Marketing Analytics Platform Strategy based in the United States.** We are seeking an experienced executive to lead the strategic direction, development, and optimization of marketing analytics platforms and data capabilities within a complex financial services environment. This high-impact leadership role combines data strategy, technology innovation, marketing intelligence, and enterprise-wide collaboration to drive measurable business outcomes. You will oversee the evolution of data ecosystems, ensuring they are scalable, secure, well-governed, and ready to support advanced analytics and AI-driven initiatives. Working closely with Marketing, Engineering, Architecture, Security, and business leaders, you will translate strategic priorities into actionable technology investments and innovative solutions. You will also lead high-performing teams, foster a culture of continuous improvement, and establish best practices for data governance, reporting, and insights delivery. This opportunity is ideal for a forward-thinking executive passionate about transforming marketing data into a competitive advantage while accelerating decision-making, operational efficiency, and business growth. ### Accountabilities - Define and execute the short- and long-term strategy for marketing analytics platforms, data management, information governance, and insights delivery, ensuring alignment with broader enterprise objectives. - Lead the development and implementation of scalable data and analytics solutions that support marketing effectiveness, audience targeting, attribution, personalization, and business performance measurement. - Oversee the end-to-end data lifecycle, including data storage, preparation, exploration, governance, analytics, and information delivery, ensuring reliable and actionable insights for business stakeholders. - Drive the modernization of marketing data ecosystems by improving data quality, accessibility, integration, and automation while reducing manual reporting and increasing operational efficiency. - Establish and advance data governance policies, standards, processes, and controls to ensure compliance, mitigate risks, and support responsible data use across the organization. - Partner with Marketing, Engineering, Architecture, Security, Product, and other cross-functional teams to translate business requirements into prioritized technology investments and scalable platform capabilities. - Champion the development of AI-ready data foundations that enable advanced analytics, emerging AI applications, and personalized customer experiences while maintaining robust governance and data quality. - Lead, mentor, and develop high-performing teams, establishing workforce plans, training programs, technical capabilities, organizational structures, and budgets that support strategic priorities. - Provide executive-level thought leadership on emerging data and analytics technologies, industry trends, and best practices, encouraging innovation and continuous improvement across the analytics community. - Oversee strategic initiatives and Agile project delivery, ensuring that business outcomes, key performance indicators, and analytical insights are clearly defined, measured, and communicated to senior leadership. - Identify, assess, monitor, and manage risks associated with data and analytics activities in accordance with applicable risk management, compliance, and information governance requirements. ## Requirements - Bachelor's degree in Statistics, Mathematics, Operations Research, Engineering, or another quantitative discipline, or four years of relevant education and/or experience. - At least 10 years of experience in data and analytics, with a demonstrated record of delivering business results within a complex financial services organization. - At least four years of people leadership experience, including building, managing, and developing high-performing teams. - Proven experience developing and executing data strategies, leading complex initiatives, and influencing senior stakeholders to achieve strategic business objectives. - Strong executive-level business acumen, including expertise in measuring business outcomes, understanding business operations, and anticipating industry developments. - Experience leading projects using Agile methodologies and managing cross-functional initiatives in complex organizational environments. - Demonstrated ability to conduct large-scale analysis using internal and external data to support strategic planning and business decision-making. - Exceptional communication and storytelling skills, with the ability to translate complex analytical findings into clear, compelling insights for senior executives and nontechnical stakeholders. - Strong analytical problem-solving skills, including the ability to translate business requirements and key performance indicators into structured analytical hypotheses and actionable solutions. - Extensive knowledge of complex database systems, data architecture, structured and unstructured data, analytics methodologies, and the relationship between data metrics and business performance. - In-depth understanding of risk management, regulatory compliance, and information governance, with experience developing strategies that mitigate risk while enabling responsible data use. - Demonstrated expertise in marketing and prospect data strategies across the full marketing funnel, including first-party and third-party audience data, media data, customer signals, and measurement frameworks. - Proven success modernizing data ecosystems through stronger governance, improved data quality and accessibility, automated reporting, and scalable decision-making capabilities. - Strong technology fluency and the ability to bridge the gap between business and engineering teams, translating marketing needs into prioritized technical solutions and investments. - Experience building reliable, governed, and scalable data platforms that support advanced analytics, personalization, and emerging AI use cases, with measurable improvements in insight delivery and business outcomes. - Experience serving the U.S. military or being the spouse or domestic partner of a service member is considered an asset. - Must be authorized to work in the United States without current or future immigration sponsorship. Visa sponsorship is not available for this position. ## Benefits - **Competitive compensation:** Annual base salary ranging from $195,230 to $351,410, depending on experience, qualifications, and relevant market data. - **Performance incentives:** Potential eligibility for additional compensation based on individual and organizational performance, subject to applicable plans and discretion. - **Executive long-term incentives:** Executive-level roles may qualify for a cash-based long-term incentive plan tied to time and performance. - **Comprehensive healthcare:** Medical, dental, and vision insurance options designed to support employee well-being. - **Retirement and financial security:** Access to a 401(k) plan, pension benefits, and life insurance. - **Family support:** Parental benefits and adoption assistance to support employees through important life events. - **Paid time off:** Paid leave, company holidays, and 16 paid volunteer hours to support personal priorities and community involvement. - **Wellness programs:** Resources and initiatives supporting physical, financial, and emotional well-being. - **Professional development:** Career path planning and continuing education opportunities to support ongoing learning and career advancement. - **Flexible work arrangements:** Remote work eligibility within the continental United States, with occasional business travel. Employees living within 60 miles of an office may be required to work on-site three to four days per week. - **Military community support:** Potential remote or hybrid flexibility for active-duty military spouses, subject to applicable policies and business needs. - **Equal opportunity workplace:** A commitment to fair employment practices and an inclusive environment where qualified candidates are considered without discrimination.