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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in digital transformation, customer data architecture, and marketing technology integration, with a strong focus on analytics, audience targeting, and compliance with privacy regulations. Proven ability to lead multidisciplinary teams and drive measurable outcomes through strategic decision-making and technology adoption.
Highest-signal resume keywords
Digital Transformation LeadershipCustomer Data ArchitecturePredictive ModelingGenerative AI DeploymentMarketing Automation Platforms
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ArchitectureSegmentationPropensity ScoringCausal MeasurementROI AnalyticsAPIs IntegrationIdentity ResolutionConsent ManagementData QualityPerformance Analysis
Soft Skills
Strategic InfluenceCross-Functional CollaborationCommunication SkillsLeadershipChange Management
Tools & Technologies
Adobe Marketo EngageEloquaSalesforce Marketing CloudHubSpotAI Applications
Industry Keywords
Asset ManagementWealth ManagementGDPR CompliancePrivacy RegulationsMarketing Technology
Tech Stack
Tools & technologiesAssemblyCloud
About the role
Key responsibilities & impact- Lead the next phase of digital transformation of PIMCO’s marketing capabilities
- Architect data, technology, analytics and operating models for audience understanding, decision-making, relevant experiences and commercial-impact measurement across institutional, wealth and intermediary channels
- Lead customer data transformation and aggregate first-party engagement, account, product, campaign and relevant external data into reliable, permission-aware audience and account views
- Build segmentation and insight capabilities covering client needs, buying groups, journey stages, intent signals, acquisition, retention and cross-sell opportunities
- 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 for audience, channel, content, timing and investment decisions
- 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 and review controls
- Advance audience and account targeting using consented data, intent and behavioral signals while setting privacy, model governance and brand-integrity standards
- Create measurement frameworks connecting reach, engagement and conversion to qualified opportunities, client activity, asset flows and retention where attribution is supportable
- Evolve dashboards and analytics for incrementality, attribution, marketing mix and ROI; optimize targeting, creative, channel mix, journeys and spend
- Provide strategic influence across marketing technology, data science, analytics, digital experience and marketing operations
- Create adoption plans, training and service models for regional and channel marketing teams
- Partner with Technology, Information Security, Privacy, Legal and Compliance on 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 to senior leadership
Requirements
What you’ll need- 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
- 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 influence senior Marketing, Product, Distribution and Technology stakeholders
- Experience in asset management, wealth management or another regulated financial services business strongly preferred
- Experience using marketing automation platforms such as Adobe Marketo Engage, Eloqua, Salesforce Marketing Cloud or HubSpot
- Deep understanding of GDPR and related privacy regulations, with experience establishing governance frameworks, mitigating compliance risks, and enabling responsible use of customer data
- 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
Benefits
Comp & perks- Discretionary bonus
- Reasonable accommodation for qualified individuals with disabilities, including veterans, in job application procedures