דרושים » תוכנה » data Product Manager

We are looking for a Senior Product Manager to own Medisons Partners platform strategy end to end. You are the DRI, accountable for the vision, plan, priorities, and the results. You come with deep product experience, strong judgment, and end-to-end ownership skills to lead this initiative from concept through MVP to a scalable platform. If you thrive in strategic, zero-to-one environments and want to build something meaningful on a global scale, this role is for you.
About Medison Medison is on a mission to ensure that every patient, regardless of where they live, has the opportunity to benefit from breakthrough therapies. We are addressing one of the pharma industrys most urgent challenges: enabling access to life-changing treatments for patients with severe and rare diseases in international markets where traditional commercialization models fall short. As the creator and leader of the global partnership category, we have built a first-of-its-kind unified commercialization platform that enables biotechs to effectively plan, optimize, and launch their therapies on a global scale. With a strong leadership team and a proven track record, we are the partner of choice for innovative biotech companies aiming to expand beyond the US, Western Europe and Japan into regions where most of the worlds population resides. Our Affiliate -like model seamlessly integrates commercial, medical and operational capabilities across diverse geographies, accelerating access and delivering life-changing treatments to more patients, faster.
Responsibilities:
What You Will Lead
* Own end-to-end product vision, roadmap, prioritization, and MVP boundaries (Prototype MVP Platform).
* Lead discovery and design discussions with discovery and prototype with a UX /design vendor and translate learning into clear product decisions.
* Work directly with the business and partners to convert their needs into clear product needs and Convert partner and business needs into user stories and a prioritized backlog focused on decisions and outcomes.
* Own delivery execution: milestones, timelines, resourcing needs, dependencies, risks, and progress tracking across workstreams.
* Synchronize UX, data / DWH, and Engineering to deliver one coherent product (aligned scope, assumptions, and releases).
* Ensure high-grade data governance (role-based access, closed-period logic, partner-relevant views).
* Drive practical AI adoption in the product: identify high-value use cases, define guardrails, and lead implementation so AI improves decisions (not a separate demo).
City:
Petah Tikva

We're looking for a Staff-level Senior PM that will strategically define and execute the data ecosystem vision, focusing heavily on enabling self-service data consumption across the organization.
You'll bridge the gap between Data and Risk analysts, Data Engineering, Data Science, and business units, ensuring our data assets are high-quality, discoverable, and packaged as successful products that unlock measurable business value.
This role offers the unique opportunity to shape the core data infrastructure powering our next generation of products while working with cutting-edge technology and a team dedicated to innovation.
Responsibilities:
Product Strategy and Vision: define and champion the product vision and roadmap for our data products (e.g., internal analytics platforms, external data APIs, machine learning model outputs, core data pipelines).Stakeholder Collaboration: Serve as the primary liaison between data scientists, data engineers, software engineers, and business stakeholders to gather requirements, prioritize features, and manage expectations.
Requirements Definition: Translate complex business problems and user needs into clear, actionable user stories, functional specifications, and acceptance criteria for data products.
Self-Service Enablement: design and optimize data products to maximize self-service consumption. This includes curating accessible datasets, developing intuitive interfaces, and ensuring data assets are well-documented and easily discoverable by business users.
Data Tool Ownership: Drive the adoption, feature roadmap, and success of our core services; empower analysts and business users with direct data access.
Prioritization and Roadmap Management: Manage the backlog for data product development, making tough trade-off decisions based on business impact, technical feasibility, and strategic alignment.
Product Launch and Adoption: plan and execute successful product launches, including go-to-market strategies, documentation, and driving adoption of data products across the organization.
Performance Measurement: Define, track, and analyze key performance indicators (KPIs) for data products (e.g., data quality, latency, usage, business impact, cost) to ensure product success and inform iterations.