The RoleThis executive will play a leadership role in the next phase of digital transformation of PIMCO's marketing capabilities. The role includes architecting data, technology, analytics and operating models that allow marketing teams to understand audiences, make better decisions, deliver more relevant experiences and measure commercial impact across institutional, wealth and intermediary channels.
A central mandate is to evolve marketing toward an AI-first approach. The leader will turn advances in artificial intelligence into governed, practical workflows for insight generation, decisioning, targeted content creation and optimization. Success requires close partnership with Marketing, Product Strategy Group, distribution teams, Technology, Legal and Compliance, and a disciplined ability to move from pilots to scaled adoption. The role is also responsible for ensuring that data, AI, personalization and marketing capabilities are designed and operated in alignment with global privacy, consent management and regulatory requirements, including GDPR and related data protection standards.
Key ResponsibilitiesData, Segmentation and Decision Intelligence- Lead customer data transformation in Marketing, partnering with Technology and other critical business stakeholders
- Aggregate and connect first-party engagement, account, product, campaign and relevant external data into reliable, permission-aware audience and account views.
- Build segmentation and insight capabilities that reveal client needs, buying groups, journey stages, intent signals and opportunities for acquisition, retention and cross-sell.
- Develop propensity models, scoring and next-best-action approaches; validate performance, monitor drift and make recommendations usable by marketers and distribution channels.
- Create decision intelligence tools that translate data into choices about audiences, channels, content, timing and investment.
AI, Personalization and Content- Identify, test and scale AI applications across research synthesis, insight generation, campaign planning, content production, experimentation and performance analysis.
- Enable dynamic content assembly and personalization across web, email and other channels, with human oversight, approved source material and appropriate review controls.
- Advance precise audience and account targeting using consented data, intent and behavioral signals, while setting standards for privacy, model governance and brand integrity.
Measurement, Optimization and ROI- Create a consistent measurement framework connecting reach, engagement and conversion to qualified opportunities, client activity, asset flows and retention where attribution is supportable.
- Leverage and evolve existing ecosystem of dashboards and analytic methods for incrementality, attribution, marketing mix and return on investment; state assumptions and measurement limits clearly.
- Use test results and performance signals to optimize targeting, creative, channel mix, journeys and marketing spend on an ongoing basis.
Leadership, Adoption and Governance- Provide strategic influence across marketing technology, data science, analytics, digital experience, and marketing operations, partnering with functional leaders to align capabilities, priorities, and outcomes.
- Create practical adoption plans, training and service models so regional and channel marketing teams can use new capabilities effectively.
- Partner with Technology, Information Security, Privacy, Legal and Compliance to establish controls for client data, AI outputs, recordkeeping, access and regulated marketing approvals.
- Manage technology vendors, implementation partners, budgets and delivery milestones; communicate progress and tradeoffs in business terms to senior leadership.
Qualifications- 15 or more years of experience in marketing technology, digital transformation, data and analytics or related functions, including significant leadership of enterprise-scale programs and teams.
- Demonstrated delivery of integrated marketing data and technology capabilities, from architecture and implementation through adoption, optimization and measurable outcomes.
- Strong command of customer data architecture, identity resolution, data quality, consent management, APIs and integration of CRM, web, marketing automation and analytics systems.
- Applied experience with segmentation, predictive modeling, propensity scoring, experimentation, causal measurement and ROI analytics; able to assess model quality and explain limitations.
- Experience deploying generative AI and machine learning in production marketing workflows, with sound judgment about governance, human review, security and accuracy.
- Ability to translate complex technology and analytic concepts into a prioritized business roadmap and to influence senior Marketing, Product, Distribution and Technology stakeholders.
- Experience in asset management, wealth management or another regulated financial services business strongly preferred; understanding of institutional and intermediary customer journeys is valuable.
- Experience using marketing automation platforms, such as Adobe Marketo Engage, Eloqua, Salesforce Marketing Cloud or HubSpot to execute, optimize, and measure digital marketing programs.
- Deep understanding of GDPR and related privacy regulations, with experience establishing governance frameworks, mitigating compliance risks, and enabling responsible use of customer data across marketing programs.
- Proven record of leading multidisciplinary teams, managing vendors and budgets, and delivering change across a global matrix.
- Bachelor's degree required in a relevant discipline; advanced degree in business, analytics, computer science or a related field preferred.
PIMCO follows a total compensation approach when rewarding employees which includes a base salary and a discretionary bonus. Base salary is the fixed component of compensation that is determined by core job responsibilities, relevant experience, internal level, and market factors. The discretionary bonus is used to award performance and therefore is determined by company, business, team, and individual performance.
Salary Range: $ 250,000.00 - $ 305,000.00
