PIMCO Logo

PIMCO

SVP, Marketing Technology & Customer Lifecycle Strategy

Posted 6 Days Ago
Be an Early Applicant
In-Office
Newport Beach, CA, USA
250K-305K Annually
Expert/Leader
In-Office
Newport Beach, CA, USA
250K-305K Annually
Expert/Leader
Leads PIMCO’s marketing technology and customer lifecycle strategy, including customer data transformation, segmentation, predictive modeling, AI-enabled personalization, content workflows, measurement, attribution, and ROI optimization. Establishes privacy, consent, security, and AI governance while partnering with Marketing, Technology, Legal, Compliance, and distribution teams. Oversees adoption, multidisciplinary teams, vendors, budgets, implementation partners, and enterprise-scale digital transformation across global marketing channels.
The summary above was generated by AI

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 Role

This 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 Responsibilities

Data, 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

Equal Employment Opportunity and Affirmative Action Statement

PIMCO recruits and hires qualified candidates without regard to race, national origin, ancestry, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender (including gender identity and expression), age, military or veteran status, disability (physical or mental), any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity and affirmative action, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other basis such as medical condition, or marital status under applicable laws.

Applicants with Disabilities

PIMCO is an Equal Employment Opportunity/Affirmative Action employer. We provide reasonable accommodation for qualified individuals with disabilities, including veterans, in job application procedures. If you have any difficulty using our online system due to a disability and you would like to request an accommodation, you may contact us at 949-720-7744 and leave a message. This is a dedicated line designed exclusively to assist job seekers with disabilities to apply online. Only messages left for this purpose will be considered. A response to your request may take up to two business days.

HQ

PIMCO Newport Beach, California, USA Office

650 Newport Center Drive, Newport Beach, CA, United States, 92660

PIMCO Irvine, California, USA Office

Irvine, United States

Similar Jobs

Yesterday
Easy Apply
Remote or Hybrid
Easy Apply
152K-190K Annually
Junior
152K-190K Annually
Junior
Cloud • Information Technology • Security • Software • Cybersecurity
Design, train, fine-tune, optimize, and deploy large-scale machine learning systems for cloud security use cases. Build end-to-end ML pipelines, develop transformer and embedding models, productionize open-weight language models, and optimize inference for latency, cost, and quality. Architect resilient ML services across AWS and GCP using cloud-native microservices while collaborating with engineering teams on AI strategy and solving complex problems involving massive datasets.
Top Skills: AWSDeep LearningGCPHugging FaceJaxLarge Language ModelsLoraMicroservicesOnnx RuntimePeftPythonPyTorchQloraTensorFlowTensorrt-LlmTransformer ModelsVllm
Yesterday
Hybrid
129K-219K Annually
Senior level
129K-219K Annually
Senior level
Aerospace • Hardware • Information Technology • Security • Software • Cybersecurity • Defense
Leads Operations Program Managers and oversees quality, cost, delivery, staffing, program metrics, capacity and demand planning, S&OP, scheduling, proposals, risk planning, and continuous improvement. Partners with Operations, Engineering, Finance, Quality, Manufacturing, Supply Chain, and Program teams to resolve critical issues, implement lean initiatives, manage performance, and achieve milestones. Mentors staff and provides strategic operational guidance to senior leadership.
Top Skills: As9145/ApqpMicrosoft AccessExcelMicrosoft PowerpointMicrosoft ProjectMicrosoft VisioMicrosoft WordMrp Systems
Yesterday
Hybrid
107K-183K Annually
Mid level
107K-183K Annually
Mid level
Aerospace • Hardware • Information Technology • Security • Software • Cybersecurity • Defense
Develop and integrate safety-critical embedded software for avionics, vehicle controls, and electrification systems. Responsibilities span requirements, architecture, coding, hardware interfaces, device drivers, board support packages, integration, verification, and cybersecurity capabilities. The role uses real-time operating systems and processor architectures including ARM and PowerPC, applies safety and cybersecurity standards, and provides technical leadership through mentoring and design presentations.
Top Skills: ArmArm Development StudioAssemblyCC++Cryptographic AcceleratorsDtlsGreen Hills IntegrityHsmsIpsecLynxosPowerpcPythonRtosSecure BootTlsTpmsTrusted Execution Environments (Tees)Vxworks

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account