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Remote Master Data Management Jobs in Canton, MI

This position provides the opportunity to work remote. Job Duties * Provide leadership, support ... Master's Degree in Finance, Real Estate, Business, or related field (Preferred) * 10+ years in of ...

This position provides the opportunity to work remote. Job Duties * Provide leadership, support ... Master's Degree in Finance, Real Estate, Business, or related field (Preferred) * 10+ years in of ...

... management leases Tuition assistance Established and active employee resource groups Paid time off ... Benefit Summary This role is remote but if you live within 50 miles within Dearborn, MI, you will ...

Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments ... Master's degree in Business Analytics, Statistics, Computer Science, or Statistics/Math and ...

Showing results 21-40

Remote Master Data Management information

See Canton, MI salary details

$18

$41

$71

How much do remote master data management jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for remote master data management in Canton, MI is $41.10, according to ZipRecruiter salary data. Most workers in this role earn between $28.27 and $51.25 per hour, depending on experience, location, and employer.

What is a remote master data management professional?

A Remote Master Data Management (MDM) professional is responsible for overseeing and maintaining an organization's critical data assets from a remote location. They ensure the accuracy, consistency, and security of master data—such as customer, product, and supplier information—across different systems and departments. By implementing data governance policies and collaborating with various teams, they help organizations make better business decisions and comply with data regulations. Remote MDM professionals use specialized tools and processes to manage data integrity while working outside of a traditional office environment.

What are the key skills and qualifications needed to thrive as a remote master data management professional, and why are they important?

To thrive as a Remote Master Data Management professional, you need expertise in data governance, data quality, and master data modeling, often supported by a degree in information systems or a related field. Familiarity with MDM platforms like Informatica, SAP MDG, or Oracle, as well as knowledge of data integration tools and data security standards, is typically required. Strong analytical thinking, communication skills, and attention to detail are essential soft skills for collaborating across departments and ensuring data consistency. These competencies are crucial for maintaining accurate, reliable data assets that drive business decisions and operational efficiency.

What are some common challenges faced by remote master data management professionals, and how can they be addressed?

Remote Master Data Management (MDM) professionals often encounter challenges such as ensuring data consistency across multiple systems, coordinating with geographically dispersed teams, and maintaining data security. Effective communication and collaboration tools are essential for aligning with stakeholders and IT teams. Establishing clear data governance policies and regular virtual meetings can help address inconsistencies and streamline workflows. Additionally, using secure remote access solutions and adhering to best practices in data privacy ensures data integrity and compliance.

What is the difference between Remote Master Data Management vs Remote Data Analyst?

AspectRemote Master Data ManagementRemote Data Analyst
CredentialsTypically requires data management certifications, SQL, and database knowledgeRequires data analysis, Excel, SQL, and visualization skills
Work EnvironmentFocuses on data governance, quality, and integration within organizationsAnalyzes data to generate insights, reports, and support decision-making
Industry UsageCommon in IT, finance, healthcare, and large enterprisesWidely used across marketing, finance, healthcare, and consulting

Remote Master Data Management professionals focus on maintaining accurate, consistent, and reliable data across systems, while Remote Data Analysts interpret data to inform business decisions. Both roles require strong technical skills but serve different functions within organizations.

What job categories do people searching Remote Master Data Management jobs in Canton, MI look for?

The top searched job categories for Remote Master Data Management jobs in Canton, MI are:

What cities near Canton, MI are hiring for Remote Master Data Management jobs?

Cities near Canton, MI with the most Remote Master Data Management job openings:

Product Lead, Delivery & Operations

Regeneron Pharmaceuticals

Warren, MI • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago


Key responsibilities

  • Lead the GxP implementation of Data Lakehouse platforms and support exploratory non-GxP use cases.

  • Manage requirements analysis, roadmap alignment, backlog prioritization, and product delivery across data platforms.

  • Coordinate requirements gathering, system changes, user testing, and release management within an Agile delivery model.


Regeneron rating

8.5

Company rating: 8.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

19th of 86 rated pharmaceutical


Job description

Build our future together:

The Regeneron Global Development IT (GD IT) BDM/CGM & ES Lead serves as theProductLeadfor the Data Lakehouse and Analytics platforms, partnering with Biostatistics Data Management (BDM), Clinical Genetics Medicine and Experimental Sciences (CGM/ES), compliance, and IT stakeholders to deliver compliant, scalable solutions. This role ownsrequirementsanalysis, roadmap alignment, backlog prioritization, and product delivery/execution across these platforms.Success in this role requires strong technical and domain expertise in data transfer and aggregation mechanisms from EDC,non-EDC (e.g., labs, biomarkers, and genetic data)and RWE sourcesas well as proficiency in R and Python for data management and statistical programming, and experience with AWS,Snowflakeand Databricks.Experience is Human Sample Data management fromClinicalTrial perspective is a huge plus.The role also demands strong Agile product delivery skills, cross-system integration experience, and adherence to globalGxPand regulatory standards.

When & where:

Based at our Warren, NJ or Armonk, NY locations.

4 days on-site per week required. This role is not open to fully remote or hybrid work arrangements.

Discover your role:

Responsibilities include

  • LeadGxPimplementation ofData Lakehouse (AWS,Snowflakeand Databricks), Positsolutions and support exploratorynon-GxPuse cases

  • Provide thought leadership and architectural inputs to shape a scalable future proof modern ecosystem

  • Manage Human Sample Management as a unified product across sites, labs, EDC systems, and internal LIMS, centralizing data to track specimen location, status, and chain of custody while automating reconciliations

  • Use AI and agents toenable digital transformation, from strategy to delivery, while remaining complaint and secure

  • Manage product roadmapsandtechnicalenablement

  • Lead end-to-end requirements analysis, design, and configuration

  • Manage scrum andkanbandashboardswithteamand ensuretimelystatus updatesto stakeholders

  • Gather requirements, manage enhancements, coordinate system changes and user testing, and support release and change management.

  • Operate within aproductbasedAgile delivery model, owning roadmap execution, backlog prioritization, sprint planning, UAT, release management, and continuous improvement using Jira and ServiceNow.

  • Drive stakeholder communication, change management, anddeliverytransparency, including status reporting, risk management, release communications, and cost/budget tracking.

  • Work with team to createmonthly/quarterly stakeholder communications, newsletters

  • Document standards, processes, and best practices; provide training to technical andnontechnicalteams.

  • Participate in governance forums (steering committees, working groups, change reviews) to ensure alignment andcrossfunctionalcollaboration

  • Develop strong business relationships to clarify needs,anticipaterequirements, and ensure solutions meet user expectations.

  • Establish end to end data governance procedures with stakeholders

This role requires:

  • BS/ Degree with10+ years relevantexperience.

  • MSor MBA with 6+ years preferred.Specifically inLife Sciences IT, Product Management, or Business/Systems Analysis with a strong focus onClinicalData Management and Analytics

  • Experience with data lakes/lakehouses(Snowflake, Databricks, AWS) supporting Clinical, RWE, and Safety data

  • Experience building data pipelines for transfer, cleaning, and aggregation from EDC (RAVE),eCOA, and non-EDC sources (lab, biomarker, genetic/omics data), including API and Regeneron Transfer Service (RTS) integrations

  • Experience with Human Sample Management

  • Hands-onproficiencyin SAS, R, and Python, including R Shiny development/deployment, APIs, SAS Viya/Posit, and AI automation for clinical R&D

  • Knowledge of CDISC standards (SDTM,ADaM) and Pinnacle 21

  • Understanding of Data Management and Safety functions - signal detection, data quality, query management, lab data reconciliation

  • Knowledge of CRO data transfer specs and data curation across studies/programs/therapeutic areas

  • Knowledge of computer system validation, 21 CFR Part 11,GxP, CSV documentation (IQ/OQ/PQ), traceability, change control

  • Understanding of blinded/unblinded datasets, interim analysis, and DB Lock sensitivities

  • Experience with ML and visual analytics (feature engineering, training, evaluation) via R, Python, SAS, Posit

  • Expertisewith Generative and Agentic AI (RAG, Agents, MCP, Claude, GPT)

  • Experience with AWS, DevOps, CI/CD workflows

  • Experience deploying analytical workloads/Shiny apps to cloud, including production troubleshooting

  • Experience with CRAN, Git/Bitbucket, version control best practices

  • Proficiencyin Agile Product Lead delivery - backlogs, user stories, sprint planning, UAT, roadmap alignment

  • Strong analytical and communication skills - translating technical/regulatory requirements for stakeholders

  • Knowledge of pharma R&D/clinical development processes, SDLC/SSDLC frameworks

Preferred Qualifications

  • Strong data management and clinical analytics background with data governance experience

  • Provenexperience in designing clinical data repositories, data lakes, data lake houses andoptimizingit for multiple teamssuch as Data Management, RWD, Statistical Programming

  • Experience providing technical leadershipon EDC and Non-EDC data integration into data lakes and data lake houses with other internal systemsacross business functions

  • Experience working in a highly matrixed organization and multi-disciplinary team

  • Experience managingstakeholderexpectations and ability to prioritize conflicts

  • Experiencewith JIRA for backlog and delivery management; exposure to ServiceNow-JIRA integrations

  • Certification or equivalentexperiencein product management

  • Good understanding ofAgentic AI andGenerative AI tools and capabilities

  • Background documenting best practices for configuration, data quality, release management, and governance

  • Veeva, Salesforce, or Product Management certifications

Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We are committed to building a workplace with an inclusive culture. Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, sexual orientation, gender identity or expression, gender reassignment, marital or civil partnership status, civil status, pregnancy or parental status, age, disability, nationality, citizenship status, ethnic or national origin, membership of the Traveler community, familial status, genetic information, military or veteran status, or any other characteristic protected under applicable law. Where required, we will provide reasonable accommodation to applicants with known disabilities or chronic illnesses during the recruitment process, unless such accommodation would impose undue hardship.

Where necessary, we disclose salary ranges for roles in all countries in which we operate. The final offer will be determined within the relevant range based on the country of employment, specific role level, and your skills and experience. In some countries, collective bargaining agreements (CBAs) may apply and influence certain elements of pay or benefits. Regeneron offers a competitive and comprehensive total rewards package which may include, depending on country and role: annual bonuses or other incentive plans, equity awards, pension or retirement benefits, 401(k) company match, health and wellness programs, fitness centers, insurance benefits (e.g. medical, dental, vision, life and disability), paid time off, and family support benefits. For additional information about Regeneron benefits in the U.S., please visit https://careers.regeneron.com/en/working-at-regeneron/total-rewards/. For other locations, additional information will be provided during the recruitment process. If you have any questions, please speak with your recruiter.


Please be advised that at Regeneron, we believe we do our best work when we are together. For that reason, many roles are required to be performed onsite. Please speak with your recruiter and hiring manager for more information about onsite expectations for your role and location.


As part of the recruitment process, certain background checks may be conducted in accordance with the laws of the country where the position is based. The purpose of such checks is to verify certain information prior to the commencement of employment such as identity, right to work and educational qualifications.


For jobs in Canada: this posting is for an existing position.


Salary Range (annually)

$134,400.00 - $219,200.00

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