customer-data-platforms jobs in San Diego

This role bridges sales and delivery for financial services clients, requiring someone who can translate technical AI/ML and data capabilities into business outcomes without writing code. The person will maintain reusable delivery assets, run workshops and demos, scope technology implementations alongside engineering teams, and operate as a trusted advisor who understands both client pain points and product capability.…See more Success demands fluency in financial services (banking, insurance, investment management), customer data platforms, data segmentation, and emerging AI/LLM use cases, paired with strong executive communication and the ability to manage multiple concurrent engagements within defined scope and timeline guardrails.

Lead large-scale technical program management across Petco's ecommerce, digital platforms, and veterinary services technology initiatives. Manage a team of TPMs and program managers, driving delivery using Agile and hybrid methodologies while ensuring alignment between technology investments and business outcomes.…See more Partner with engineering, product, and executive leadership to deliver complex enterprise initiatives involving cloud platforms, APIs, distributed systems, and customer-facing applications. Establish program governance, manage cross-functional dependencies, track KPIs, and ensure security, compliance, and operational readiness.

Lead the design and deployment of AI-powered marketing automation workflows, predictive analytics frameworks, and performance dashboards across Intuit's marketing organization. Build production-grade automation infrastructure on cloud platforms (GCP/AWS/Azure) that integrates AI tools into the marketing tech stack, operationalizes customer segmentation models, and scales intelligent automation globally.…See more Develop dashboards, attribution models, and automated reporting pipelines that quantify adoption, cost savings, and performance lift. Partner cross-functionally with product, engineering, data science, and marketing teams to architect, validate, and transition high-impact AI pilots into enterprise capabilities.