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# Data Product Lead (Dallas, TX)

- **Company:** Blue Acorn, LLC
- **Location:** Dallas, TX, United States
- **Experience:** Expert
- **Salary:** $135,000.0 - $185,000.0
- **Contract:** Permanent contract
- **Skills:** Adobe Experience Manager, Adobe Marketing Cloud, Agile Methodology, Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Customer Data Management, Data Architecture, Data Validation, Information Engineering, Data Files, Data Governance, Data Integration, Data Streaming, Systems Integration, Tag Management, Google Cloud, Cloud Platform System, Snowflake, Data Layers, Adobe, Data Lineage
- **Published:** June 10, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=b1cb273b6f9a0d5f

## About the Role

Do you have experience in Technology management?, * 8+ years of experience in data architecture, customer data platforms, marketing technology, data engineering, digital transformation, or related disciplines.

 * Deep hands-on expertise with Adobe Web SDK, tag management solutions, and enterprise data layer architecture.
 * Extensive experience implementing and supporting Adobe Experience Platform (AEP) solutions.
 * Proven experience integrating CRM, billing, campaign, and enterprise data sources into Adobe Experience Platform.
 * Strong expertise in XDM schema design, dataset configuration, data modeling, and data governance best practices.
 * Experience designing and supporting both batch and streaming data ingestion architectures.
 * Deep understanding of data governance, data lineage, consent management, data labeling, and DULE policies.
 * Experience with identity resolution, profile stitching, and cross-device identity strategies within RTCDP environments.
 * Strong knowledge of cloud-based data platforms including GCP, AWS, Azure, and Snowflake.
 * Demonstrated experience leading complex, cross-functional programs within large enterprise environments.
 * Proven ability to manage offshore technical resources and distributed delivery teams.
 * Experience establishing data quality frameworks and governance programs with measurable outcomes.
 * Strong stakeholder management, communication, presentation, and executive influence skills.
 * Experience balancing technical delivery priorities with business objectives and operational outcomes., * Experience supporting telecommunications, media, technology, or large-scale digital transformation initiatives.
 * Experience with Adobe Journey Optimizer (AJO), Customer Journey Analytics (CJA), and Real-Time CDP (RTCDP).
 * Experience establishing enterprise data governance programs and data quality frameworks.
 * Familiarity with Agile delivery methodologies, PI planning, and scaled delivery models.
 * Experience building AI-assisted operational workflows and automation programs.
 * Adobe Experience Platform, Adobe Experience Cloud, or related Adobe certifications.
 * Cloud platform certifications in AWS, Azure, GCP, or Snowflake.
 * Highly preferred to be based in or willing to work from the Dallas, TX area.

## Description

Blue Acorn iCi is looking for a Data Product Lead to lead the Data POD supporting enterprise-scale Adobe Experience Cloud initiatives. This role serves as the technical and consultative leader for the foundational data layer that powers customer experience, activation, analytics, and personalization capabilities across the Adobe ecosystem., The Data Product Lead is responsible for data collection architecture, Adobe Web SDK implementations, upstream data integrations, governance frameworks, identity strategies, and data quality programs that enable trusted, actionable customer data. Working closely with Product Managers, business stakeholders, architects, and delivery teams, this leader will translate strategic priorities into executable roadmaps, oversee POD delivery, and ensure the scalability, reliability, and governance of data assets across Adobe Experience Platform (AEP), Real-Time CDP (RTCDP), Adobe Journey Optimizer (AJO), and Customer Journey Analytics (CJA)., Technical Execution

 * Own technical quality, delivery velocity, and overall execution for all work within the Data POD.
 * Lead hands-on reviews of solution designs, data architectures, configurations, integrations, and deployment plans.
 * Establish and enforce quality standards, including peer reviews, QA validation processes, deployment checklists, operational runbooks, and governance controls.
 * Manage and mentor offshore data engineering resources, providing clear specifications, acceptance criteria, feedback, and delivery oversight.
 * Develop and maintain playbooks, templates, standards, and reusable implementation patterns for data collection, integration, and governance initiatives.
 * Design and oversee Adobe Web SDK implementations, tag management frameworks, and enterprise data layer architectures.
 * Lead CRM, billing, and campaign data integrations into Adobe Experience Platform.
 * Define and maintain XDM schemas, datasets, ingestion strategies, and identity frameworks that support enterprise use cases.
 * Ensure data quality, governance, lineage, and compliance requirements are incorporated into all solutions., * Represent the Data POD across governance forums, including sprint reviews, PI planning sessions, steering committees, and executive leadership reviews.
 * Translate business priorities and Product Manager requirements into executable sprint plans and delivery roadmaps.
 * Manage POD intake, prioritization, capacity planning, and dependency tracking.
 * Communicate delivery status, risks, blockers, quality metrics, and adoption indicators to stakeholders and leadership.
 * Partner with compliance, security, and risk teams to ensure alignment with governance requirements.
 * Drive data readiness planning and milestone management for enterprise initiatives.
 * Develop and maintain POD performance metrics, including capacity utilization, velocity, delivery health, and quality scorecards., * Serve as the trusted advisor for all data-related initiatives and capabilities within the Adobe ecosystem.
 * Translate complex technical concepts into clear business outcomes for Product Managers, marketers, and executive stakeholders.
 * Partner with business and technology teams to establish data ownership models, access strategies, service-level agreements, and governance standards.
 * Identify opportunities to improve operational efficiency through process optimization, automation, and modernization initiatives.
 * Drive enablement and knowledge transfer efforts that support long-term client ownership and operational maturity.
 * Coach and develop team members while promoting a consultative, solution-oriented culture across the engagement.
 * Manage escalations, provide strategic guidance, and partner with leadership to ensure successful solution delivery., * Own the data governance roadmap and support enterprise governance initiatives.
 * Establish and maintain frameworks for data quality, freshness, completeness, lineage, and compliance monitoring.
 * Drive implementation of consent management strategies, data labeling standards, DULE policies, and governance controls within Adobe Experience Platform.
 * Develop and maintain KPI frameworks and dashboards that measure data health, trust, adoption, and operational effectiveness.
 * Drive data quality initiatives focused on freshness SLAs, completeness metrics, integration health monitoring, and operational reliability.
 * Partner with stakeholders to continuously improve data quality and reliability across customer experience platforms., * Identify and prioritize automation opportunities across data collection, integration, governance, and operational workflows.
 * Partner with AI and engineering teams to develop and scale automation initiatives that improve efficiency and reduce manual effort.
 * Establish governance controls and human-in-the-loop processes for AI-assisted workflows.
 * Drive initiatives focused on automated data validation, anomaly detection, schema mapping, and integration acceleration.
 * Measure and report automation outcomes, including operational efficiency gains, manual effort reduction, cost savings, and operational scalability.


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