Senior Product Manager - Data Platform

D.R. Horton

Arlington (TX)

On-site

USD 140,000 - 190,000

Full time

11 days ago

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Benefits offered by this job

Medical, Dental and Vision

Employee Stock Purchase Plan

Flex Spending Accounts

Life & Disability Insurance

Vacation, Sick, Personal Time and HCO

Multiple Benefits

Job summary

D.R. Horton, Inc. in Arlington, TX, is seeking a Senior Product Manager for the Data Platform to lead a team of engineers and a Scrum Master. You will own roadmaps for data ingestion, modeling, and dashboards, and build foundations for customer identity, events, and marketing activation.

You will partner with Data Science and Marketing to deliver self-service tools, journeys, and a next-best-action decisioning engine, while guiding agile delivery and governance across the platform.

Qualifications

Bachelor's degree in Computer Science, Software Engineering, Business, or related field; MBA preferred
5+ years of experience in product management or digital product development
3+ years as a product manager for a data engineering or data platform team
Hands-on fluency with data ingestion patterns, entity modeling, identity resolution, data quality, and lineage
Experience with 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 on 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
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

Responsibilities

Own the roadmap, backlog, and user stories for data ingestion, modeling, and marketing data products
Define data contracts, data quality SLAs, and source onboarding priorities
Establish the customer entity, identity resolution approach, and event taxonomy that marketing activation depends on
Define the vision for marketing activation platform, including audience tooling, journey orchestration, and decisioning engine
Partner with Data Science to define integration contracts so models can feed decisioning
Design self-service capabilities with guardrails, permissions, and governance for marketers

Skills

Data ingestion

Entity modeling

Identity resolution

Data quality

Data lineage

Marketing data

Journey orchestration

Decisioning

Self-service tooling

Agile methodologies

Scrum Product Owner

Jira/Confluence

Education

Bachelor's degree in CS/Engineering/Business

MBA preferred

Tools

Jira

Confluence

Braze

Adobe Real Time CDP

Salesforce

Iterable

Pega

Job description

Job Description - Senior Product Manager - Data Platform (2605491)

Job Description

Description

D.R. Horton, Inc., the largest homebuilder in the U.S., was founded in 1978 and is a publicly traded company on the New York Stock Exchange. It is engaged in the construction and sale of high-quality homes designed principally for the entry-level and first time move-up markets. The Company also provides mortgage financing and title services for homebuyers through its mortgage and title subsidiaries. Please visit our website at www.drhorton.com for more information.

D.R. Horton, Inc. is currently looking for a Senior Product Manager, Data Platform. In this role, you will lead a product team of about 7 engineers and quality engineers, supported by a Scrum Master, from foundational data capabilities into a marketing activation platform. In your first year, you will own the roadmap for data ingestion, modeling, and dashboards (R1), building the customer entity, identity, and event foundations that marketing depends on. As that foundation matures, you will lead the same team into building self-service tooling for audiences, journeys, triggered and broadcast programs, dynamic content, and a next-best action decisioning engine. You will plan every data investment backward from the marketing use cases it enables, and you will work side by side with our Data Science team to make sure their models can plug into the decisioning engine. This is an in-office role in our Arlington, TX office.

Data Foundation (primary focus early on)

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 that marketing activation depends on

Activation Platform (growing focus over time)

Define the vision, strategy, and capability map for the marketing activation platform, including audience tooling, journey orchestration infrastructure, triggered and broadcast frameworks, dynamic content zones, and a next best action decisioning engine
Partner with the Data Science team to define the integration contract for how models feed decisioning, so new models can ship without custom integration
Design self-service capabilities with the guardrails, permissions, and governance marketers need to move quickly without creating conflicting journeys or over-messaging customers

Product Management and Delivery

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 new 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 all business in a professional and ethical manner to serve customers and increase the goodwill and profit of the company

Supervisory Responsibilities

This role has no direct reports. You will lead the product team's direction and priorities through influence and clear product leadership.

Qualifications

Education and/or Experience

Bachelor's degree in Computer Science, Software Engineering, Business, or a related field; MBA preferred
5+ years of experience in product management or digital product development
3+ years as a product manager for a data engineering or data platform team, including owning roadmaps, writing stories, and working directly with data engineers
Hands-on fluency with data ingestion patterns, entity modeling, identity resolution, data quality, and lineage
Experience with 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 on 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 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, with the ability to translate between data engineers, data scientists, and marketers

Preferred Qualifications

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, and vendor evaluation and build vs. buy experience
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

Come joina winning team with a Fortune 500 company! We are growing fast and arelooking for enthusiastic attitudes and team players to join our success. We offer an excellent benefits package including:

Benefits