Demo

Director Product Owner, Enterprise Data Management

Keurig Dr Pepper Inc.
Keurig Dr Pepper Inc. Salary
Frisco, TX Full Time
POSTED ON 4/2/2025
AVAILABLE BEFORE 5/1/2025
Job Overview:

Keurig Dr Pepper is seeking a Director, Product Owner, Enterprise Data Management, who is a key Agile team leader primarily responsible for maximizing the product value delivered by the team in alignment with the strategic direction and business/customer needs. This individual will provide mentorship, guidance, and coaching to other Product Owners and be instrumental in shaping product strategy. The Director Product Owner is a vital player in KDP’s new way of working, supporting and driving a lean-agile mindset and learning culture while working on high complexity products.

What you will do:

As the Director Product Owner, Enterprise Data Management you will:

Data Management:

  • Build an AI/Gen AI focused Data Management capability at KDP
  • Collaborate with various stakeholders to define and implement data management strategies, policies, and governance frameworks
  • Establish and enforce data standards, naming conventions, and data classification frameworks
  • Implement and drive adoption of data governance and advanced data engineering principles to enable retrieval-augmented generation (RAG) for large language models (LLMs) and GenAI capabilities.
  • Be responsible for handling unstructured and semi-structured data, information retrieval, and knowledge inference to ensure trusted, up-to-date and accurate data for AI.
  • Develop and institutionalize the Data Governance Program at KDP by aligning them with business objectives, linking governance policies to overall strategy and business outcomes, and addressing communication and change management challenges.
  • Automate data quality initiatives by employing a metadata-driven approach that utilizes data catalogs and governance capabilities. Complement this metadata-driven approach with data-driven methods in which AI learns from the data to infer rules and actively monitors changes in data patterns.
  • Explore the potential of AI to drive innovation, boost productivity and enhance business value.
  • Innovate and apply best practices in data management architecture, working with the Enterprise Architecture Team, and in deployment practices to support deep learning and natural language processing (NLP) and the large data sets required for LLMs. Common use cases for LLMs in data management include:
    • Automating data interpretation and anomaly detection to enhance data quality
    • Using natural language to construct database queries
    • Providing augmented assistance for database and code migrations
    • Identifying data governance policies and data privacy, regulatory and compliance issues
  • Own creation and management of data integration efforts with mature techniques. Use DataOps to maintain the pipeline in a way that is both agile and data-centric. Use a framework-agnostic solution to define scalability and latency requirements.
  • Drive data pipeline reliability and scalability focusing on data engineering
  • Bridge data silos to govern complex data management systems
  • Implement data observability practices to deliver trusted data management
  • Partner with the MDM Program to support D&A Governance
  • Integrate AI and GenAI into data quality management efforts
  • Deeply understand the business strategy and product strategy for Enterprise Data Management that includes integration and help make and/or influence critical decisions that impact the product.
  • Extend metadata management practices to support AI readiness


Working in Agile:

  • Work across agile teams to guide the near-term vision, priorities, and backlog for an existing solution of high complexity.
  • Work with a moderately sized and/or complex group of business and IT stakeholders.
  • Ensure the product development team has a solid understanding of the product strategy in order to effectively execute and meet objective and goals.
  • Make certain the voice of customer needs and priorities are incorporated into the product solution.
  • Manage and prioritize the content / features team backlog with clearly defined value hypothesis and acceptance criteria to be delivered by the development teams. Continually search for opportunities to improve efficiencies and optimize product work.
  • Apply a broad and deep understanding of the market trends, customer needs, and business objectives to set the strategic direction for the product and actively manage or contribute to its roadmap.
  • Lead, manage, and prioritize the content / features team backlog with clearly defined value hypothesis and acceptance criteria to be delivered by the development teams.
  • Collaborate with the Scrum Master, Product Manager, Release Train Engineer, and Solution / Domain Architect.
  • Facilitate and optimize the relationship with the end customer and business leadership/owners.


Total Rewards:

  • 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:

Who you are:

  • Demonstrated project experience designing and implementing data governance initiatives in a management role
  • Strong understanding of data management concepts, data governance frameworks, and data quality principles
  • Proficiency in data profiling and data analysis techniques using tools like SQL, Excel, or data profiling software
  • Familiarity with metadata management and data dictionary tools
  • Excellent analytical and problem-solving skills to identify and resolve data quality issues
  • Ability to effectively and persuasively communicate technical standards, practices, and initiatives to drive data governance throughout the organization
  • Familiarity with data-related technologies and tools such as ETL, data warehouses, and data lakes
  • Knowledge of data visualization and reporting tools such as Tableau, Power BI, and Looker
  • Knowledge of data analysis and manipulation
  • Expert knowledge of product management principles and practices for defining product strategy, vision, roadmaps, and value, including how to drive continuous improvement for the product.
  • Expert knowledge in product backlog management.
  • Knowledge of system dev. life cycle (SDLC) methodologies (e.g., waterfall, spiral, SAFe, agile, rapid prototyping, incremental, synchronize and stabilize and DevOps).
  • Leading skills in demonstrating outstanding technical and people leadership capabilities, including employee coaching, objective setting, and professional development.
  • Leading skills in user-centered design (UCD) methodologies, user journey and personas, and executing them in product designs.
  • Expert ability to research user needs, develop clear user stories, and collaborate with the agile team, clarifying user needs and product features while guiding the team to write good stories and apply customer-centricity when making decisions.
  • Expert ability to understand complex business problems and identify and interpret business needs.
  • Expert ability to communicate technical information in a condensed manner to various stakeholders verbally and in writing.


Minimum Qualifications/Requirements:

  • Bachelor’s degree in related field (e.g., Computer Science, Information Technology, Business Administration, etc.) or equivalent combination of education and work experience.
  • Experience in master data management, data analytics, data engineering, or a related area
  • 8 years of data expertise and product management, or related experience.
  • Background in at least three disciplines, such as business, technology, application development, or operations in a multi-tier environment.
  • Native-level proficiency/fluent in English.
  • Experience in product or service design, delivery, and/or enhancements. (preferred)
  • Change Agent
  • Influencer
  • Executive presence
  • Storyteller
  • Strong leadership qualities


Licenses and Certifications Required:

N/A



Company Overview:

Why join us?

Keurig Dr Pepper (NASDAQ: KDP) is a leading beverage company in North America, with a portfolio of more than 125 owned, licensed and partners brands and powerful distribution capabilities to provide a beverage for every need, anytime, anywhere. We operate with a differentiated business model and world-class brand portfolio, powered by a talented and engaged team that is anchored in our values. We work with big, exciting beverage brands and the #1 single-serve coffee brewing system in North America at KDP, and we have fun doing it!

Together, we have built a leading beverage company in North America offering hot and cold beverages together at scale. 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?

We strive to be an employer of choice, providing a culture and opportunities that empower our team of ~28,000 employees 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.

Keurig Dr Pepper is an equal opportunity employer and affirmatively seeks diversity in its workforce. Keurig Dr Pepper 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.

Total Rewards

Requirements

Company Overview

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