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Remote Customer Data Platform Jobs in Michigan (NOW HIRING)

Kobie Marketing

Director, Product

Detroit, MI

$230K - $241K/yr

As a remote-first organization headquartered in St. Petersburg, Florida, Kobie values meaningful in ... Experience with behavioral data platforms, customer data infrastructure, or CDPs - how event-level ...

Centroid Systems, Inc.

OCI Architect

Troy, MI · On-site +1

Architect and deploy AI/Data Platform (AIDP) workloads leveraging OCI GenAI Service, OCI AI Agents ... Cloud@Customer * Data Guard (Maximum Availability, Maximum Performance), GoldenGate for live ...

Birdi

Principal Data Engineer

Plymouth, MI · Remote

$109K - $130K/yr

Principal Data Engineer Company: Birdi Work Type: Remote Employment: Full Time Location: US ... Senior data engineer with expertise in SQL Server/SSRS, cloud-based data platforms, ETL/ELT, and ...

Cisive

Data Engineer

Wyoming, MI · On-site +1

$103K - $124K/yr

We\'re committed to bringing passion and customer focus to the business. At Cisive, our vision is ... Flexible/remote work options.

Kobie Marketing

Sr. Data Engineer

Detroit, MI · Remote

$104K - $142K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Serve as the operational backbone of Kobie's data platform, ensuring the ETL/ELT pipelines ...

Crain

Product Manager, Subscription Systems

Detroit, MI · On-site +1

$115K - $130K/yr

Familiarity with customer data platforms (CDPs), CRM systems, marketing automation tools, and ... A "remote" role would allow an employee to work from a home office that is in one of the states ...

Genesys

Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships. Help build ...

Ford Motor Company

Data Scientist

Dearborn, MI · Remote

Experience building and maintaining data pipelines using SQL and cloud-based data platforms (e.g ... Benefit Summary This role is remote but if you live within 50 miles within Dearborn, MI, you will ...

Epitec

Platform Engineering Engineer 3

Dearborn, MI · On-site

$61 - $64/hr

You will be responsible for the design, implementation, optimization, and operational reliability of enterprise CDN platforms supporting large-scale, customer-facing digital applications. This role ...

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All JobsCustomer Data Platform JobsRemote Customer Data Platform JobsRemote Customer Data Platform Jobs in Michigan

Remote Customer Data Platform information

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

AspectRemote Customer Data PlatformRemote Data Analyst
Required CredentialsData management certifications, knowledge of CDP toolsStatistics, data analysis certifications, SQL, Excel
Work EnvironmentCollaborates with marketing, sales, IT teamsWorks with datasets, reports, dashboards
Employer & Industry UsageMarketing, e-commerce, SaaS companiesFinance, healthcare, retail sectors

The main difference is that a Remote Customer Data Platform specializes in managing and integrating customer data across platforms, focusing on marketing and customer insights. In contrast, a Remote Data Analyst interprets data to support business decisions across various departments. Both roles require analytical skills, but their focus and tools differ, making them distinct career paths within data-driven industries.

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The most popular types of Customer Data Platform jobs in Michigan are:

What are popular job titles related to Remote Customer Data Platform jobs in Michigan?

For Remote Customer Data Platform jobs in Michigan, the most frequently searched job titles are:

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The top searched job categories for Remote Customer Data Platform jobs in Michigan are:

Remote Customer Data Platform jobs near you

Engineering Manager, Data Platform and Governance

Canopy

Detroit, MI • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago

Hilton Grand Vacations rating

6.8

Company rating: 6.8 out of 10

Based on 150 frontline employees who took The Breakroom Quiz

8th of 21 rated holiday rentals

Job description

We are seeking an Engineering Manager, Data Platform & Governance to lead the development of our data capabilities and governance practices across connected security products and cloud services. This role will be responsible for defining and executing our data strategy, building scalable data platforms and analytics capabilities, and establishing the governance, privacy, and compliance foundations required to support a growing connected-product ecosystem. The ideal candidate combines strong engineering leadership with deep expertise in data architecture, analytics, governance, and cloud technologies.
As part of a fast-moving organization focused on AI-powered vehicle security solutions, this leader will partner closely with Product, Software Engineering, AI/ML, Security, Legal, and our parent company's digital teams to ensure that data is accurate, trusted, secure, and actionable. They will help transform data generated from connected devices, cloud services, customer interactions, and AI systems into insights that drive product innovation, operational excellence, and business growth. This is a highly cross-functional role with significant influence on our data strategy, technology roadmap, compliance posture, and future initiatives.
Responsibilities:
  • Define and execute the company's data platform, analytics, and governance strategy.
  • Build and lead a high-performing team of data engineers, analytics engineers, data scientists, and analysts as the organization grows.
  • Establish technical roadmaps, architecture standards, and best practices for data systems and services.
  • Partner with executive leadership to identify opportunities to leverage data for product innovation, customer experience, operational efficiency, and business growth.
  • Develop metrics and KPIs that measure product performance, customer engagement, and business outcomes.
  • Lead the development of data pipelines, ETL/ELT processes, streaming architectures, and data integration solutions.
  • Establish data quality, observability, lineage, cataloging, and reliability practices.
  • Develop dashboards and data products that provide actionable insights to engineering, product, operations, and leadership teams.
  • Develop and maintain enterprise data governance policies, standards, and operating procedures.
  • Define data ownership, stewardship, retention, classification, and lifecycle management processes.
  • Lead initiatives related to privacy, consent management, and regulatory compliance, including GDPR, CCPA, and other applicable regulations.
  • Partner with Security, Legal, and Compliance teams to implement controls that protect customer and product data.
  • Establish auditability, data access controls, and governance processes for AI and analytics workloads.
  • Support security reviews, risk assessments, compliance audits, and customer data inquiries.

Requirements
  • Bachelor's degree in Computer Science, Software Engineering, Data Science, Information Systems, or a related technical field.
  • 8+ years of experience in software engineering, data engineering, analytics engineering, data science, or related disciplines.
  • 3+ years of experience leading technical teams, including hiring, mentoring, performance management, and technical leadership.
  • Experience designing and operating modern cloud-based data platforms and data pipelines.
  • Strong understanding of data warehousing, data lakes, ETL/ELT architectures, data modeling, and data integration patterns.
  • Proficiency with SQL and at least one modern programming language such as Python, Java, or Scala.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Experience implementing data governance frameworks, data quality programs, and data lifecycle management practices.
  • Working knowledge of privacy and data protection regulations, including GDPR and CCPA.
  • Experience building analytics solutions, dashboards, and KPI frameworks that support business decision-making.
  • Strong stakeholder management, communication, and collaboration skills.
  • Proven ability to balance strategic planning with hands-on technical execution.

Preferred Qualifications:
  • Master's degree in Computer Science, Software Engineering, Data Science, Information Systems, or a related technical field.
  • Reside within the Detroit, Michigan area or nearby, with the ability to work in a hybrid environment and regularly commute to our Detroit office as needed.

Benefits
  • Comprehensive medical benefits coverage, dental plans and vision coverage.
  • Health care and dependent care spending accounts.
  • Employee and Family Assistance Program (EAP).
  • Employee discount programs.
  • Retirement plan with a generous company match.
  • Generous Paid Time Off, Sick, and Holidays
  • Family Leave (Maternity, Paternity)
  • Short- and long-term disability
  • Life insurance and accidental death & dismemberment insurance

Compensation Range
Compensation may vary depending on skills and experience.
Base Salary: $123,800 - $173,100
Diversity, Equity and Inclusion: At Canopy, we're on a mission to end theft from vehicles and revolutionize vehicle security by building cutting-edge technology. We will achieve this by prioritizing individuals and staying attuned to the evolving needs of our people, users, and industry trends. We foster a workplace culture that embraces diversity and authenticity, enabling us to flourish as a team of exceptional individuals working towards a common purpose. We gain a deeper understanding of our users' experiences by continuously improving our skills and expanding our knowledge. A more diverse, equitable, and inclusive Canopy leads to greater innovation and success.
Equal Opportunity: Canopy does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

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