Senior Product Manager - Data Platform

D.R. Horton•Arlington, TX

1d•Onsite

About The Position

D.R. Horton is seeking a Senior Product Manager, Data Platform, to lead a product team of about seven engineers and quality engineers, supported by a Scrum Master. The role will guide the team from foundational data capabilities toward a marketing activation platform. Initially, the position owns the roadmap for data ingestion, modeling, and dashboards, including customer entity, identity, and event foundations needed for marketing. As those foundations mature, the role will lead development of self-service capabilities for audiences, journeys, triggered and broadcast programs, dynamic content, and a next-best-action decisioning engine. Data investments should be planned around the marketing use cases they enable, in close partnership with Data Science so models can integrate with the decisioning engine. The Senior Product Manager owns the data foundation roadmap, backlog, and user stories; defines data contracts, data-quality SLAs, and source onboarding priorities; and establishes customer identity and event taxonomy foundations. Over time, the role defines the vision and strategy for the marketing activation platform and its governance, permissions, and self-service capabilities. The position works with Delivery, Data Science, Marketing, Operations, and IT to prioritize, plan, deliver, and validate product capabilities; define success measures; communicate status and risks; and support training, documentation, and rollout. It also researches trends and competitor capabilities and participates in Agile ceremonies and product demonstrations. This is an in-office role in Arlington, Texas. The role has no direct reports; it leads product direction and priorities through influence and clear product leadership.

Requirements

Bachelor's degree in Computer Science, Software Engineering, Business, or a related field.
At least 5 years of experience in product management or digital product development.
At least 3 years as a product manager for a data engineering or data platform team, including roadmap ownership, story writing, and direct work with data engineers.
Hands-on fluency with data ingestion patterns, entity modeling, identity resolution, data quality, and lineage.
Experience using marketing data as a primary use case, such as CDPs, customer 360, event pipelines feeding marketing tools, or personalization.
Exposure to journey orchestration, audience building, or decisioning, whether built in-house or using platforms such as Braze, Adobe (AJO/RTCDP), Salesforce, Iterable, or Pega.
Experience designing self-service products, including guardrails, permissions, and governance.
Experience guiding a team through a shift in technical direction, such as moving from batch data work to real-time or customer-facing services.
Demonstrated ability to lead and align teams and stakeholders without direct authority.
Strong understanding of Agile methodologies and experience as a Scrum Product Owner.
Proficiency with Agile tools such as Jira, Confluence, or similar.
Excellent organizational, analytical, and communication skills, including the ability to translate between data engineers, data scientists, and marketers.

Nice To Haves

MBA.
Experience building or evolving a decisioning or offer-arbitration system.
Experience defining integration contracts between data science and production systems.
Experience building internal platforms or tooling in-house, evaluating vendors, and making build-versus-buy decisions.
Background in marketing operations, CRM, or lifecycle marketing before moving into product.
Privacy, consent, and channel compliance experience.
Strong data analysis and problem-solving abilities.
Proven ability to manage competing priorities in a fast-paced environment.

Responsibilities

Own the roadmap, backlog, and user stories for data ingestion, modeling, and marketing data products, working directly with data engineers.
Define data contracts, data-quality SLAs, and source onboarding priorities.
Establish the customer entity, identity resolution approach, and event taxonomy required for marketing activation.
Define the vision, strategy, and capability map for the marketing activation platform, including audience tooling, journey orchestration, triggered and broadcast frameworks, dynamic content zones, and a next-best-action decisioning engine.
Partner with Data Science to define integration contracts that allow models to feed decisioning without custom integration.
Design self-service capabilities with appropriate guardrails, permissions, and governance.
Gather and analyze business, marketer, and data science needs to inform prioritization.
Create and maintain requirements, user stories, acceptance criteria, and specifications.
Partner with Delivery, Data Science, Marketing, Operations, and IT to plan and execute sprints, resolve issues, and manage release scope.
Define success measures with stakeholders, including data freshness and quality, marketer adoption, and time-to-launch for audiences and journeys.
Review and validate delivered capabilities against requirements.
Communicate status, progress, and risks to leadership and key stakeholders.
Support training, documentation, and rollout for marketers and other platform users.
Research emerging trends, technologies, and competitor capabilities.
Participate in Agile ceremonies and product demonstrations as needed.
Conduct business professionally and ethically to serve customers and increase company goodwill and profit.
Lead the product team's direction and priorities through influence; the role has no direct reports.