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Data Products Program Lead

Job in Victor, Ontario County, New York, 14564, USA
Listing for: CooperSurgical
Full Time, Contract position
Listed on 2026-11-05
Job specializations:
  • IT/Tech
    Data Engineering, Business Systems & Technology Analysis
Job Description & How to Apply Below
Position: Data Products Program Lead (Contract to Hire)
Location: Victor

Job-:
Project/Program Management

Location:

Victor, NY, United States;
San Ramon, CA, United States Workplace:
On-site

Schedule:

Full time Company:
Cooper Vision Posted :
At Cooper Vision, a business unit of Cooper Companies (Nasdaq: COO), we’re driven by a unified purpose of helping people experience life’s beautiful moments. We are connected through our shared values - dedicated, innovative, friendly, partners, and do the right thing. As a leading global manufacturer of contact lenses, we are committed to helping improve the way people see each day.

Through our diverse lens portfolio, we tackle the toughest vision challenges – including astigmatism, presbyopia, and childhood myopia. We offer the most complete collection of spherical, toric, and multifocal products available, enabling us to fit 99% of all contact wearers. Learn more at .This role is not eligible for employer-sponsored work authorization now or in the future. Applicants must be authorized to work in the United States on a permanent and ongoing basis without the need for future sponsorship (i.e., H1B, STEM OPT extensions, TN, etc.)This

position requires full-time onsite work (5 days per week) in Victor, NY and is not eligible for relocation assistance

Job Summary:

Leads delivery of the EDU program's data products from definition through release and consumer adoption. A majority-technical role with a program-management skill set: the holder must be able to read and challenge a data model, a semantic definition or a pipeline design, and must also run an integrated plan, a risk register and a steering-group pack to Global PMO standard.

Breaks the program's quarterly milestones into executable releases, convenes domain SMEs and system SMEs per project, and makes sure each product is released with a named owner, named consumers and defined DATSIS. Builds the evidence base (ways of working, intake, standards, council decisions, adoption metrics) on which the operating-model decision will be taken before month 18. Qualifications

Experience:

8+ years in program or technical program management, with at least 3 years leading enterprise data, MDM or data-platform programs.

Has stood up a data product or data governance program from the start at least once: defined the products, the ownership model, the intake and the release process, and delivered them.

Demonstrated delivery of large, cross-functional initiatives with hard dependencies on other programs and on IT platform work.

Experience transitioning or consolidating master and transactional data between systems (for example CRM or ERP migrations, MDM implementations, registry builds).Worked directly with data architects and system architects on logical and semantic design, and with data science teams consuming the output.

Experience driving organizational adoption of new data products or operating models, including readiness and communication planning.

Track record of setting, measuring and reporting program KPIs under a corporate PMO framework.

Medical device, life sciences or regulated-industry experience, and exposure to product data and customer data domains, are a plus.

Education:

Bachelor's degree in Engineering, Computer Science, Information Systems, Data Management, Business or a related disciplineA graduate degree in a quantitative or data discipline is a plus.

PMP, PgMP, Agile or Scrum certification is a plus.

Hands-on familiarity with a cloud data platform (Snowflake), an MDM tool (Informatica, CDM) and a governance or catalogue tool (Collibra) is a plus.

Knowledge, Skills and Abilities:

Working knowledge of the enterprise data lifecycle: transaction layer, master data and identity registries, data integration and pipelines, physical, logical and semantic layers, data catalogues.

Able…
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