Job description

Job Overview: Are you ready to redefine how data becomes enterprise intelligence — and to own the integration backbone that lets AI act on it? At Keurig Dr Pepper, we're building the future of data — one domain, one signal, one intelligent decision at a time. Great AI doesn't start at the model; it starts at the data and the seams between systems. Our strategy is to converge these patterns into one governed Enterprise Integration Gateway — standardize, secure, govern — so that trusted, catalog-governed data can be both created and consumed by AI: agents, models, and copilots operating in the flow of work. We're looking for a product owner who can own both ends: the modern data platform that makes data AI-ready, and the enterprise integration gateway that lets AI discover, govern, and act on that data. If you thrive at the intersection of AI engineering, enterprise integration, and data operations — and you want to turn bleeding-edge technology into real business transformation — this is your moment. Your Mission As the Sr Principal Product Owner – Data Management & Integration Services , you will execute KDP's Data Mgmt and AI Data Readiness strategy for next-generation data platforms, and drive the AI integration strategy that optimizes for AI data creation and consumption. You will own the capabilities that acquire, move, standardize, and govern enterprise data — from raw ingestion through the Enterprise Integration Gateway (API management, event streaming/CDC, microservices, iPaaS, and agent/MCP patterns) to domain-based data ownership, medallion-architected pipelines, and AI-embedded DataOps. This role is central to KDP's Unified Architecture and to making our data — structured and unstructured — trusted, discoverable, and ready for an AI-augmented enterprise. What You'll Do AI Integration Strategy — One Front Door for AI (Emphasis Area) • Drive the AI integration strategy that optimizes for AI data creation (AI-ready ingestion, enrichment, and pipeline generation) and AI data consumption (agents, models, apps, and copilots acting on trusted data). • Own the roadmap for the Enterprise Integration Gateway — converging a fragmented estate of ETL, B2B/EDI, API/app, and file-transfer integrations into one governed, composable, enterprise-wide gateway that standardizes, secures, and governs how data and services cross every boundary. • Establish modern integration patterns as the enterprise standard: API management, event streaming / CDC, microservices, iPaaS, and agent frameworks / MCP — enabling AI agents (autonomous and assisted, human-in-the-loop), models (reasoning over catalog-governed data), and copilots (in the flow of work via discoverable APIs). • Champion an API-first, microservices strategy: API lifecycle management, REST API design, gateway architecture, event-driven patterns, and API standards (auth, versioning, rate limits, error contracts, observability, deprecation), leading the migration from legacy point-to-point patterns to reusable integration services. AI Data Readiness & AI Engineering Enablement • Deliver capabilities that make data AI-ready — unifying structured and unstructured data, and enabling reasoning over trusted, catalog-governed assets • Execute AI-embedded, AI-augmented DataOps — automated governance, anomaly detection, and intelligent metadata discovery — treating AI as a force multiplier for pipeline creation, data management, and self-service (e.g., Databricks AI enablement such as Genie, AgentBricks, and Mosaic AI) • Partner with platform/AI engineering to enable ML/feature workloads and AI consumption — Unity Catalog-governed models and feature stores, cataloged prompts and datasets for auditability, and discoverable APIs that put trusted data in the flow of work Execution of Strategic Data Capabilities • Deliver platform capabilities that support raw data ingestion, profiling, and domain-based ownership across the enterprise • Operationalize medallion architecture (Bronze → Silver → Gold) to support scalable, governed data pipelines fed by enterprise integration flows • Apply the enterprise decision framework (federate to prove value, migrate to optimize and govern) to balance speed-to-value with compute/storage efficiency • Translate business needs into prioritized backlogs and sprint plans that accelerate AI enablement and data readiness Domain Stewardship & Marketplace Partnership • Enable domain stewards to manage and activate their data assets through platform capabilities and tooling • Partner with the Enterprise Data Marketplace team to ensure seamless integration, lineage, and discoverability of curated, AI-ready data products Stakeholder Engagement • Collaborate with Enterprise AI Services, business units, data stewards, integration/trading partners, and technical teams to align on governance, access policies, connectivity, and AI-consumption patterns • Facilitate cross-functional collaboration across business, technology, operations, and external vendor/partner teams to deliver high-value data products and dependable integrations Governance & Compliance • Ensure robust metadata management, lineage tracking, and policy enforcement across all data domains — including data-in-motion across every integration boundary (preventing governance gaps at the seams) • Establish data contracts at each system boundary (schema, SLA, classification, owner, glossary references) and an approved connector/pattern catalog that scales self-service without sacrificing consistency • Apply security hardening and compliance discipline (SOX, key management for file transfer, partner security, Zero-Trust access) and align with AI governance for responsible, auditable AI (model inventory, GenAI/RAG and agentic-AI controls) • Support next-generation strategies with Day-1 readiness and go-live integration support • Collaborate with the Data Governance Executive Board / Integration Governance sub-council to align platform, gateway, and AI capabilities with regulatory and business standards Who You Are • A delivery-focused technologist with expertise across product management, enterprise integration, data operations, and AI enablement • An AI-forward product owner who understands what it takes to make data AI-ready and to let agents, models, and copilots safely create and consume it • A disciplined executor who can translate complex business needs into scalable, well-integrated, well-governed solutions • An integration-minded leader who understands that trusted AI starts with reliable acquisition, movement, and governance of data across systems • A collaborative leader who thrives in cross-functional environments and drives alignment across business, technical, and external partner stakeholders Total Rewards: • Salary range $130,000 - $180,000 • Actual placement within the compensation range may vary depending on experience, skills, and other factors • Benefits, subject to election and eligibility: Medical, Dental, Vision, Disability, Paid Time Off (including paid parental leave, vacation, and sick time), 401k with company match, Tuition Reimbursement, and Mileage Reimbursement • Annual bonus based on performance and eligibility Requirements: Must-Haves • Bachelor's degree in Computer Science, Information Technology, Business Administration, or equivalent experience • 7+ years in data engineering / data platform product management and/or enterprise integration (middleware, iPaaS, API platforms), with a focus on large-scale data platforms and/or integration at enterprise scale • Demonstrated product ownership / backlog management — roadmap ownership, prioritization, and sprint delivery • Proven experience in multi-tier environments across business, technology, and operations • Expertise in Agile methodologies (Scrum/SAFe), user-centered design, and backlog management Preferred / Differentiators • AI data readiness & AI engineering enablement — making structured/unstructured data AI-ready; enabling ML/feature stores, RAG, or agentic/AI consumption; AI-augmented DataOps (a core focus of this role) • AI integration strategy — designing how AI creates and consumes data through governed, discoverable interfaces (API/microservices, event/CDC, agent frameworks / MCP) • Enterprise integration platforms & gateway — API gateways, middleware/ESB/iPaaS, or integration-hub/gateway management (e.g., MuleSoft, Informatica, TIBCO, Dell Boomi, webMethods) • API gateway / microservices — API lifecycle, REST design, gateway architecture, event-driven patterns, API standards, and legacy-to-modern migration (priority capability) • Modern data platform — Snowflake, Databricks (incl. AI enablement such as Genie / AgentBricks / Mosaic AI), medallion/lakehouse, Unity Catalog, Informatica, Alation/Collibra • SAP integration — interfaces, IDocs, BAPIs, SAP PI/PO • Secure file transfer — SFTP/MFT platform management, partner onboarding/migration, key management • EDI / B2B — transaction sets, trading-partner management • Regulated / security-compliance — experience (SOX, NIST, Zero-Trust, or similar), including AI governance awareness • CPG / Manufacturing / Supply Chain — industry experience (beverage, food, or FMCG preferred) Company Overview: Keurig Dr Pepper (Nasdaq: KDP) is a leading beverage company with more than 150 owned, licensed and partner brands that meet a wide range of needs and occasions. Our North American refreshment beverage business holds leadership positions across carbonated soft drinks, water, juice and mixers with a portfolio of iconic brands such as Dr Pepper®, Canada Dry®, Mott’s®, A&W®, Peñafiel®, GHOST®, 7UP®, Snapple®, Clamato® and Core Hydration®. Our global coffee business spans more than 100 markets and includes the leading Keurig® single‑serve brewing system in the U.S. and Canada, along with powerhouse brands such as Peet’s, L’OR and Jacobs, and other regional coffee leaders. Our more than 50,000 employees aim to enhance the experience of every beverage and coffee occasion while making a positive impact for people, communities and the planet. We strive to be an employer of choice, providing a culture and opportunities that empower our team to grow and develop. We offer robust benefits to support your health and wellness as well as your personal and financial well-being. We also provide employee programs designed to enhance your professional growth and development, while ensuring you feel valued, inspired and appreciated at work. Whatever your area of expertise, at KDP you can be a part of a team that’s proud of its brands, partnerships, innovation and growth. Will you join us? Keurig Dr Pepper is an equal opportunity employer and recruits qualified applicants and advances in employment its employees without regard to race, color, religion, gender, sexual orientation, gender identity, gender expression, age, disability or association with a person with a disability, medical condition, genetic information, ethnic or national origin, marital status, veteran status, or any other status protected by law. A.I. Disclosure: KDP uses artificial intelligence to assist with initial resume screening and candidate matching. This technology helps us efficiently identify candidates whose qualifications align with our open roles. AI does not make hiring decisions; all decisions throughout the hiring process are made by talent acquisition team members. If you prefer not to have your application processed using artificial intelligence, you may opt out by emailing your resume and qualifications directly to kdpjobs@kdrp.com in lieu of clicking Apply. In order for your application to be considered and opted out of AI, you must include the words 'AI Opt-Out' and either job title and location or Job ID # in the email subject line in your email application.

Requirements

Must-haves

Are you ready to redefine how data becomes enterprise intelligence — and to own the integration backbone that lets AI act on it?
Your Mission
AI Integration Strategy — One Front Door for AI (Emphasis Area)
Drive the AI integration strategy that optimizes for AI data creation (AI-ready ingestion, enrichment, and pipeline generation) and AI data consumption (agents, models, apps, and copilots acting on trusted data).
AI Data Readiness & AI Engineering Enablement
Deliver capabilities that make data AI-ready — unifying structured and unstructured data, and enabling reasoning over trusted, catalog-governed assets
Execution of Strategic Data Capabilities
Deliver platform capabilities that support raw data ingestion, profiling, and domain-based ownership across the enterprise
Operationalize medallion architecture (Bronze → Silver → Gold) to support scalable, governed data pipelines fed by enterprise integration flows
Apply the enterprise decision framework (federate to prove value, migrate to optimize and govern) to balance speed-to-value with compute/storage efficiency
Translate business needs into prioritized backlogs and sprint plans that accelerate AI enablement and data readiness
Domain Stewardship & Marketplace Partnership
Enable domain stewards to manage and activate their data assets through platform capabilities and tooling
Partner with the Enterprise Data Marketplace team to ensure seamless integration, lineage, and discoverability of curated, AI-ready data products
Stakeholder Engagement
Collaborate with Enterprise AI Services, business units, data stewards, integration/trading partners, and technical teams to align on governance, access policies, connectivity, and AI-consumption patterns
Facilitate cross-functional collaboration across business, technology, operations, and external vendor/partner teams to deliver high-value data products and dependable integrations
Governance & Compliance
Ensure robust metadata management, lineage tracking, and policy enforcement across all data domains — including data-in-motion across every integration boundary (preventing governance gaps at the seams)
Establish data contracts at each system boundary (schema, SLA, classification, owner, glossary references) and an approved connector/pattern catalog that scales self-service without sacrificing consistency
Support next-generation strategies with Day-1 readiness and go-live integration support
Collaborate with the Data Governance Executive Board / Integration Governance sub-council to align platform, gateway, and AI capabilities with regulatory and business standards

Nice-to-haves

Preferred / Differentiators
CPG / Manufacturing / Supply Chain — industry experience (beverage, food, or FMCG preferred)

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiapirestmlgoagilescrum

Platform: radancy
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Paid Time Off

Parental Leave

Wellness