Data Product Delivery Lead

BravoTech

$100K — $130K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in a relevant field (Business, Information Systems, Computer Science, Analytics, etc.)
  • 6+ years in Data Product Management, Delivery Management, or related areas
  • Experience translating ambiguous business needs into structured work
  • Strong expertise in managing backlogs and agile delivery practices
  • Experience with enterprise data platforms and analytics tools
  • Proficient in data models, business metrics, and data governance
  • Skilled in coordinating UAT and release readiness processes

Responsibilities

  • Own intake, backlog management, and delivery readiness processes
  • Translate business requirements into actionable items like epics and user stories
  • Enforce Definition of Ready standards for development work
  • Collaborate with stakeholders and technical teams to deliver data products
  • Manage scope, risks, and dependencies throughout the delivery process
  • Coordinate UAT, release readiness, and communication with stakeholders
  • Drive continuous improvement in delivery processes and metrics

Benefits

  • Direct hire opportunity without sponsorship
  • Onsite working three days a week
  • Engaging role in a critical data delivery space
  • Opportunity to work with cutting-edge ontology-based platforms
  • Exposure to multi-location business environments such as retail and hospitality
Full Job Description
Job Description

We are seeking a Data Product Delivery Lead to drive the successful delivery of enterprise data products, analytics solutions, and platform enhancements. This role serves as the critical bridge between business stakeholders and technical teams, transforming prioritized business demand into a structured, executable delivery backlog. The ideal candidate has experience with ontology-based platforms such as Palantir Foundry, Reltio, or similar semantic data platforms, along with strong delivery management experience in retail or multi-location business environments.
Key Responsibilities
  • Own intake, backlog management, prioritization, and delivery readiness processes.
  • Translate business requirements into epics, user stories, acceptance criteria, and delivery plans.
  • Enforce Definition of Ready standards and ensure work is fully defined before entering development.
  • Partner with business leaders, analysts, data engineers, and project managers to deliver high-value data products.
  • Manage scope, dependencies, risks, sequencing conflicts, and capacity planning.
  • Coordinate UAT, release readiness, stakeholder communication, and post-release reviews.
  • Drive continuous improvement across intake processes, backlog governance, delivery metrics, and release management.
  • Partner closely with engineering leadership to align business requirements with platform architecture, ontology design, and technical constraints.
Required Qualifications
  • Bachelor's degree in Business, Information Systems, Computer Science, Analytics, or related field.
  • 6+ years of experience in Data Product Management, Delivery Management, Business Analysis, Technical Program Management, or related disciplines.
  • Proven experience converting ambiguous business needs into structured, executable delivery work.
  • Strong background managing backlogs, prioritization, sprint planning, and Agile delivery practices.
  • Experience working with enterprise data platforms, analytics environments, BI/reporting solutions, or SaaS business systems.
  • Strong understanding of data models, business metrics, source systems, reporting dependencies, and data governance.
  • Experience coordinating UAT, stakeholder validation, release readiness, and production deployments.
  • Excellent communication, stakeholder management, and organizational skills.
Preferred Qualifications
  • Experience with ontology-based platforms such as Palantir Foundry, Reltio, or similar semantic data platforms.
  • Experience with data product operating models, semantic layers, governed metrics, and enterprise analytics platforms.
  • Retail, hospitality, real estate, storage, marina operations, or private equity-backed company experience.
  • Experience working with Data Engineers, Analytics Engineers, Functional Analysts, Product Owners, and Project Managers.
  • Bachelor's degree in business, information systems, computer science, analytics, data management, or a related field, is required
  • Must have six (6)+ years of experience in data product management, delivery management, business analysis, analytics delivery, technical program management, or related roles
  • Must have demonstrated experience translating ambiguous business needs into structured, executable delivery work
  • Must have experience managing backlogs, intake processes, prioritization execution, and delivery readiness
  • Must have a strong understanding of agile delivery practices, sprint planning, backlog refinement, and iterative delivery
  • Must have experience working with enterprise data platforms, analytics systems, BI/reporting environments, or SaaS-based business systems
  • Must have strong data literacy, including the ability to understand metrics, business logic, data models, source-system constraints, and reporting dependencies
  • Must have a proven ability to challenge incomplete requests and enforce process discipline in a cross-functional environment
  • Must have experience coordinating UAT, stakeholder validation, release readiness, and post-release follow-up
  • Experience with Palantir Foundry or similar ontology-based data platforms is preferred
  • Experience with data product operating models, semantic layers, governed metrics, or enterprise analytics platforms is preferred
  • Experience supporting revenue management, operations, finance, marketing analytics, or commercial analytics use cases is preferred
  • Experience in hospitality, real estate, storage, marina operations, multi-location businesses, or private equity-backed environments is preferred

A disciplined delivery leader who can challenge ambiguity, enforce process rigor, manage stakeholder expectations, and ensure that priority does not equal readiness. This individual excels at creating clarity, protecting engineering capacity, and driving predictable delivery of enterprise data products.
Direct Hire
No Sponsorship
3 Days onsite
Degree

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Meet Your Recruiter

Angela Hardemon



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