C

Cooper Companies

Global medical devices and vision care

Data Products Program Lead

Program ManagementUpdated on Nov 10
Contract$121.2k - $227.3k /yr

About the Job

Requirements

  • Eight or more years in program or technical program management, including at least three years leading enterprise data, master data management or data-platform programs.
  • Has stood up a data product or data governance program from the start, defining the products, ownership model, intake and release process, and delivering them.
  • Demonstrated delivery of large cross-functional initiatives with dependencies on other programs and IT platform work.
  • Experience transitioning or consolidating master and transactional data between systems, such as customer relationship management or enterprise resource planning migrations, master data management implementations or 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 key performance indicators under a corporate project management office framework.
  • Bachelor's degree in Engineering, Computer Science, Information Systems, Data Management, Business or a related discipline.
  • Working knowledge of the enterprise data lifecycle, including transaction layers, master data and identity registries, data integration and pipelines, physical, logical and semantic layers, and data catalogues.
  • Able to read, build on and challenge a data model, semantic definition and dataset, and comfortable using Structured Query Language against a cloud data platform.
  • Understands requirements for governed and certified data products, including named ownership, defined consumers, DATSIS, lineage, quality thresholds and release versioning.
  • Program discipline in integrated planning, dependency management, risk and issue management, KPI definition and reporting, and recovery planning.
  • Able to facilitate workshops across business domains and IT and drive decisions among senior leaders with competing priorities.
  • Able to manage stakeholders and influence across a complex multinational matrix without positional authority.
  • Able to connect each release to the layered architecture and enterprise outcomes.
  • Able to anticipate obstacles, bring proposals and shift focus as priorities change.
  • Able to communicate clearly and concisely in writing and verbally to executive and technical audiences.
  • Able to manage multiple priorities with minimal supervision.

Responsibilities

  • Translate the EDU roadmap and quarterly milestones set by program drivers into releases with defined scope, deliverables, acceptance criteria and key performance indicators.
  • Build and maintain the integrated program plan and schedule, including dependencies on other programs.
  • Report plans, resources, risks, dependencies and key performance indicators into Global PMO oversight in the standard format and cadence, without parallel tracking.
  • Prepare steering-group and Program Director packs, and track decisions, actions and commitments through to closure.
  • Identify schedule slippage early, propose recovery plans and escalate to program drivers or the steering group as needed.
  • Run the program budget line, including program management contract, travel and expense, validation and assessment spend, with the cost-center owner.
  • Own each data product's delivery lifecycle: definition, attribute scope, source mapping, semantic rules, build acceptance, release and versioning.
  • Ensure each product has a named owner, named registered consumers and defined DATSIS before release; publish release notes and catalogue entries.
  • Work with the Data Products Delivery Lead and system architects on registry-first master data management in phase one, including an identity registry and consolidated golden views in the aggregation layer, and on the semantic layer exposed by products.
  • Keep the data science team's artificial intelligence use cases on the product release path so each use case is built on a released product rather than a side extract.
  • Protect the layered architecture by ensuring products are built at or above the compute boundary and exposed through application programming interfaces and agent protocols, rather than inside transactional systems.
  • Act as the integration point across the four transactional-layer domains—Product Lifecycle & Compliance; Order-to-Cash & Supply Chain; Commercial Engagement; Corporate Functions—and the IT delivery team.
  • Convene the business process analysts and subject matter experts nominated by business process management team vice presidents per domain, and the business systems analysts and subject matter experts nominated by business process owner vice presidents per IT system; run them as the Core Team per project.
  • Surface cross-domain semantic conflicts, route them to the semantic council for decisions, and implement decisions in product definitions.
  • Identify and manage interdependencies with Program Nexus, Courtyard and other consumer programs, and keep plans aligned.
  • Run intake for registered consumers by capturing required attributes, agreeing acceptance criteria and sequencing minimum viable product scope and v1 release to all registered consumers.
  • Develop and run readiness, communication and adoption plans for consuming teams, including regional data and business intelligence leads.
  • Track adoption and usage of released products and feed consumption evidence back into prioritization.
  • Support transition of released products into business-as-usual ownership and stewardship.
  • Codify the program's ways of working, including intake, standards, stewardship, council decision rights and release process.
  • Capture lessons learned and operating-model findings at each quarterly milestone and compile the evidence pack for the operating-model decision.
  • Contribute to north-star validation and the facilitated distance-to-north-star assessment as the program representative.

Desired Qualifications

  • Medical device, life sciences or regulated-industry experience, and exposure to product data and customer data domains.
  • A graduate degree in a quantitative or data discipline.
  • Project Management Professional, Program Management Professional, Agile or Scrum certification.
  • Hands-on familiarity with a cloud data platform such as Snowflake, a master data management tool such as Informatica or CDM, and a governance or catalogue tool such as Collibra.

About the Company

Cooper Companies

Global medical devices and vision care

Cooper Companies operates in two main areas: CooperVision and CooperSurgical. CooperVision makes a wide range of contact lenses to correct vision, supported by product development, manufacturing, and global distribution. CooperSurgical offers medical devices, fertility, and genomic products for women’s health, covering care from contraception through advanced reproductive treatments, with a vertically integrated model that controls research, development, manufacturing, and distribution. Compared with competitors, the company combines vision care and women’s health in one group and maintains end-to-end control of its product lifecycle, enabling integrated supply and service delivery to healthcare providers and patients worldwide. Its goal is to improve health outcomes for people through accessible contact lenses and comprehensive women’s health products and services, across the globe.

Company size
201-500
Company stage
IPO
Headquarters
San Ramon, CA
Founded
1958

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