PIMCO logo

SVP, Marketing Technology & Customer Lifecycle Strategy

PIMCO

NEW YORK, NYJobSeen 1 day agoSeen in employer's feed 1 day ago

Most applications go out cold — see where you stand first. No sign-up to start.

Watch jobs like this.

Don't just apply. Show up ready.

Olive works from this exact posting.

At a glance

Compensation
No compensation found
Location
NEW YORK, NY
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The SVP will lead the next phase of PIMCO’s marketing digital transformation, architecting data, technology, analytics and operating models across institutional, wealth and intermediary channels. The role will advance an AI-first approach, turning AI capabilities into governed workflows for insight generation, decisioning, content and optimization. It will partner across Marketing, product strategy, distribution, Technology, Legal and Compliance, while aligning marketing capabilities with privacy, consent and regulatory requirements.

Skills & qualifications

RequiredNice to have

Skills

Customer Data TransformationData IntegrationAudience SegmentationPropensity ModelingScoringNext-Best-ActionDecision IntelligenceArtificial IntelligencePersonalizationContent ProductionExperimentationModel GovernanceMarketing MeasurementIncrementalityAttributionMarketing MixReturn on Investment

Full job description

PIMCO is a global leader in active fixed income with deep expertise across public and private markets. We invest our clients' capital across a range of fixed income and credit opportunities, leveraging our decades of experience navigating complex debt markets. Our flexible capital base and deep relationships with issuers have helped us become one of the world's largest providers of traditional and nontraditional solutions for companies that need financing and investors who seek strong risk-adjusted returns.Since 1971, our people have shaped our organization through a high-performance inclusive culture, in which we celebrate diverse thinking. We invest in our people and strive to imprint our CORE values of Collaboration, Openness, Responsibility and Excellence. We believe each of us is here to help others succeed and this has led to PIMCO being recognized as an innovator, industry thought leader and trusted advisor to our clients.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, jou

How this job compares

Set against the 668 open Marketing Leadership jobs on Olive Jobs, counted November 2, 2026.

Pay
  • This postingNot listed
  • New York median$188–265K/yr66 salary ranges
Openings
Olive Jobs lists 83 open Marketing Leadership jobs in New York and 668 across the US. 16% of them nationwide are listed as remote or flexible.
Hiring the most in New York
Experience
Marketing Leadership postings that state a minimum ask for 10 years of experience at the median; the middle half ask for 10 to 12 years (567 postings).
Education
128 of the 668 open Marketing Leadership jobs (19%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 2, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

You've read the whole posting — now see how you match it.