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Manager Customer Data Platform Jobs (NOW HIRING)

DraftKings

Data Engineering Manager, Customer

The Crown Is Yours As a Data Engineering Manager, Customer, you'll lead a team building scalable ... Experience working with cloud data platforms such as Snowflake, Databricks, or BigQuery.

Judge Group, Inc.

DATA PLATFORM MANAGER

Columbus, OH · On-site

$50 - $60/hr

No sponsorship or C2C for this role Must be a w2 employee of The Judge Group Data Platform Manager Location: Columbus, OH Employment Type: Contract-to-Hire (3+ Months) About the Role We are seeking ...

Interfor

Manager, Data Platform

Peachtree City, GA · On-site

LOCATION, CUSTOM.STATE The Manager, Data Platform is a player-coach technical leader within Interfor's Data & Analyticspractice, responsible for leading the team that operates and ...

ACI Infotech

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... Customer Data Platform (CDP) implementation project, responsible for product evaluations, POC ... Work experience can include management experience or any functional expertise where proficiency is ...

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Manager Customer Data Platform information

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How much do manager customer data platform jobs pay per year?

As of Aug 22, 2026, the average yearly pay for manager customer data platform in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.

What is a Manager Customer Data Platform?

A Manager Customer Data Platform (CDP) is a professional responsible for overseeing the implementation, management, and optimization of a company's customer data platform. This role involves integrating customer data from various sources, ensuring data quality and privacy compliance, and enabling personalized customer experiences. The manager collaborates with marketing, IT, and analytics teams to leverage data for business insights and targeted campaigns. Their primary goal is to maximize the value of customer data to drive business growth and improve customer engagement.

What are the key skills and qualifications needed to thrive as a Manager Customer Data Platform?

To thrive as a Manager Customer Data Platform, you need expertise in data management, analytics, and customer relationship strategies, usually backed by a degree in computer science, information systems, or a related field. Familiarity with CDP tools like Salesforce, Segment, or Adobe Experience Platform, as well as certifications in data privacy or cloud technologies, is often expected. Strong leadership, cross-functional communication, and problem-solving skills help you align technical teams and business stakeholders. These abilities are crucial for driving effective customer data initiatives that support business growth and compliance.

What are some common challenges faced by a Manager Customer Data Platform, and how can they be addressed?

Managers of Customer Data Platforms (CDPs) often encounter challenges related to data integration from multiple sources, ensuring data quality, and maintaining compliance with privacy regulations. Overcoming these challenges requires strong collaboration with IT, marketing, and legal teams, as well as implementing robust data governance frameworks. Staying up-to-date with evolving technology and industry standards is essential to ensure the platform delivers actionable insights and supports business objectives.

What is the difference between Manager Customer Data Platform vs Customer Data Analyst?

AspectManager Customer Data PlatformCustomer Data Analyst
CredentialsBachelor's/Master's in Data Science, Marketing, or related fields; experience with CDP toolsBachelor's in Data Analysis, Statistics, or related fields; proficiency in data querying and visualization
Work EnvironmentLeads teams, manages CDP implementation, strategic planningAnalyzes customer data, generates reports, supports marketing strategies
Industry UsageUsed in marketing, CRM, and data-driven customer engagementCommon in marketing analytics, customer insights, and data reporting

The Manager Customer Data Platform focuses on overseeing CDP systems, team management, and strategic data integration. In contrast, the Customer Data Analyst primarily analyzes customer data to generate insights and support marketing efforts. Both roles require data skills but differ in scope and responsibilities.

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Manager Customer Data Platform jobs near you
Infographic showing various Manager Customer Data Platform job openings in the United States as of August 2026, with employment types broken down into 80% Full Time, 18% Part Time, and 2% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $97,145 per year, or $46.7 per hour.

Solution Architect, Customer Data

Knowit Training

Houston, TX • Hybrid

Full-time

Posted 29 days ago

Job description

Responsibilities:  
  • Architecture & Design: Define and deliver solution architectures for CDP, Customer Master Data, Customer 360, marketing automation, personalization, and attribution ecosystems. Establish target-state architecture across CDP, Data Warehouse, and Customer Master Data with clear separation of concerns between data mastering, activation, and analytics. 
  • Integration: Ensure seamless connectivity between MarTech platforms, AdTech tools, data platforms, CMS/DAM systems, and analytics ecosystems. 
  • Identity & Governance: Define and govern identity resolution, enterprise customer ID strategy, and consent enforcement, ensuring compliance with privacy regulations and enterprise data policies. 
  • Personalization & Decisioning: Architect real-time and batch decisioning frameworks, enabling scalable personalization, experimentation, and ML-driven customer engagement. 
  • Data & Content Technology Strategy: Define standards for data flows, identity management, customer mastering approaches, and content governance across platforms. 
  • Retail Media & Activation: Enable first-party data activation across paid media and Retail Media Networks, supporting audience creation, targeting, and monetization. 
  • Vendor Strategy & Cost Optimization: Evaluate MarTech and AdTech platforms, drive build vs buy decisions, and optimize platform usage and cost, including CDP unit economics. 
  • Innovation & Strategy: Stay ahead of trends in MarTech, AdTech, AI, and analytics, recommending new technologies and approaches that drive measurable business outcomes. 
  • Governance & Oversight: Serve as design authority for customer data and marketing technology, ensuring scalability, security, compliance, and alignment with enterprise architecture standards. 
  • Collaboration: Partner with Marketing, Product, IT, Data Science, and vendors to align on roadmaps, define capability-driven Architecture models, and deliver reusable, scalable solutions. 

Qualification:  
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Or a realted field (Master's degree a plus)
  • 8+ years of experience in customer data, data engineering, or MarTech domains, with at least 3 years in marketing technology architecture, including personalization and customer engagement solutions 
  • MarTech data domain expert skilled in customer data, clickstream, identity resolution, segmentation, and activation across owned, paid, and partner channels. 
  • Proven expertise in CDP (COTS or in-house), Customer Master Data management, CRM/loyalty systems, and Customer 360 solutions. 
  • Experience defining identity resolution strategies (first-party, hybrid, and third-party) and understanding tradeoffs across CDP, data warehouse, and external identity providers. 
  • Experience implementing privacy, consent management, and data governance frameworks, including consent enforcement and data lineage. 
  • Experience designing architectures for personalization, ML decisioning, loyalty programs, closed-loop measurement, and attribution. 
  • Hands-on experience with marketing automation platforms (ESP/SMS/Push) integrated with customer data and analytics platforms. 
  • End-to-end experience across the MarTech and AdTech stack, spanning CDP, Customer Master Data, personalization engines, paid media platforms, analytics, attribution, and customer data activation. 
  • Background integrating CMS/DAM platforms with personalization and engagement ecosystems. 
  • Experience supporting Retail Media Networks (RMN), audience monetization, and paid media activation using first-party data. 
  • Experience evaluating and selecting MarTech/AdTech platforms, including build vs buy decisions and vendor architecture assessments. 
  • Skilled in high-volume, high-velocity data ingestion architectures (batch and streaming). 
  • Experience working with Data Science teams to operationalize ML models into customer-facing workflows. 
  • Exposure to AI-driven engagement, automation, and GenAI is considered a plus.   
  • Proficiency with MarTech/AdTech platforms such as Salesforce Marketing Cloud, Adobe Experience Cloud, Braze, HubSpot, Google Analytics, or similar ecosystems. 
  •  Customer Data: Customer Data Platforms, Customer Data Warehouse, Customer Master Data, Customer 360 
  • Identity Resolution: First-party, hybrid, and third-party identity graphs, deterministic and probabilistic matching 
  • Marketing Platforms: ESP/SMS/Push, CRM, CMS/DAM, personalization, and decisioning engines 
  • AdTech/Media: Paid media platforms, attribution frameworks, Retail Media Networks, audience activation 
  • Cloud Platforms: GCP preferred (AWS/Azure acceptable) 
  • Integration Patterns: APIs, microservices, event-driven architectures (Kafka, Pub/Sub) 
  • Data Platforms: Data lakes, data warehouses, Lakehouse patterns, structured and unstructured databases 
  • Customer Data Governance: Consent management, data lineage, auditability, data contracts 
  • Architecture Strategy: Build vs buy evaluation, platform scalability, cost optimization, real-time vs batch tradeoffs 
  • AI/GenAI adoption: Leveraging AI/GenAI across marketing use cases and software development to drive personalization, automation, and engineering efficiency. 
  • Process Automation: DevOps, AIOps & automation frameworks for Martech 
  • Excellent communication and presentation skills with the ability to simplify complex concepts for business and executive stakeholders. 
  • Strong problem-solving, creativity, and ability to balance technical rigor with business value.