The posting
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.
- 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.
- 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.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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