Executive Director, Marketing Analytics Platform Strategy

Jobgether; United States; Hybride; USD 195 000 - 351 000; Plein temps

Avantages offerts par ce poste

Competitive compensation

Performance incentives

Executive long-term incentives

Healthcare (medical, dental, vision)

401(k) retirement plan

Parental benefits

Paid time off

Remote work eligibility within the US

Hybrid work flexibility for militarySp

Résumé du poste

Jobgether is seeking a senior leader to own marketing analytics strategy and data governance across our marketing tech stack. You will guide data platforms, ensure reliable insights, and drive data-driven decision-making at executive levels in the United States.

You will lead cross-functional teams, advance AI-ready data foundations, and align initiatives with enterprise goals while building scalable, governed data ecosystems and delivering measurable business impact.

Qualifications

• Bachelor's degree or four years of relevant education/experience.
• 10+ years of data and analytics experience in a complex financial services organization.
• 4+ years of people leadership experience, building and developing teams.
• Experience developing and executing data strategies and influencing senior stakeholders.
• Executive-level business acumen, including measuring outcomes and operations.
• Experience leading Agile projects and cross-functional initiatives.
• Ability to conduct large-scale analysis using internal and external data.
• Strong communication and storytelling for senior executives.
• Knowledge of data architectures, databases, and analytics methods.
• Understanding of risk management, regulatory compliance, and information governance.
• Marketing/prospect data strategies across the full funnel.
• Data modernization with governance and automation.
• Bridge between business and engineering teams to translate needs into solutions.
• Experience building governed data platforms for analytics and AI use cases.
• US military service experience or related asset is a plus.

Responsabilités

• Define and execute the short- and long-term strategy for marketing analytics platforms and insights delivery.
• Lead scalable data and analytics solutions supporting marketing effectiveness and attribution.
• Oversee end-to-end data lifecycle ensuring reliable insights for stakeholders.
• Modernize data ecosystems with governance, quality, and automation improvements.
• Establish and advance data governance policies and controls to mitigate risk.
• Collaborate with cross-functional teams to translate requirements into investments.
• Champion AI-ready data foundations enabling advanced analytics and personalized experiences.
• Lead, mentor, and develop high-performing teams with workforce plans and budgets.
• Provide executive thought leadership on data and analytics trends.
• Oversee strategic initiatives and Agile delivery with measurable outcomes.
• Identify, assess and manage risks in data and analytics per governance requirements.

Connaissances

Data strategy leadership

People leadership

Agile methodologies

Cross-functional collaboration

Executive storytelling

Analytical thinking

Data architecture

Marketing analytics

Business acumen

Translate business needs to tech

AI readiness

Team development

Strategic thinking

Risk & compliance awareness

Data modernization

Formation

Bachelor's degree in Statistics, Mathematics, Operations Research, Engineering, or another quantitative discipline

Description du poste

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.