Lead Product Manager

As Lead Product Manager you will lead and own the R&D Activity Product-Oriented Delivery (POD) within CP R&D IT. You will be accountable for a portfolio of digital products that enable R&D innovation across both laboratory and field environments.

You will shape the POD vision and multi-horizon roadmap make prioritisation and investment decisions define clear product boundaries and drive measurable improvements in how R&D captures manages and uses datafrom laboratory experimentation and assay workflows to field trials sensors imaging and geospatial data.

This is a senior product leadership role. You will lead a cross-functional team and may line-manage and develop Product Managers within the POD ensuring scalable sustainable secure and high-quality digital products with clear business outcomes.

Key responsibilities

• Co-create the POD vision value hypotheses and multi-horizon product roadmap with business and technical stakeholders.
• Translate strategy into a coherent product portfolio aligned with business priorities investment decisions and enterprise architecture.
• Define product boundaries ownership taxonomy interfaces and dependencies across PODs.
• Establish and track POD-level success measures including OKRs KPIs adoption user outcomes operational performance value realisation and total cost of ownership.
• Act as the senior voice of the customer ensuring enterprise and user needs are understood validated and reflected in product direction.
• Lead stakeholder engagement across R&D business IT data security architecture quality and compliance functions.
• Own product delivery governance prioritisation cadence backlog health release planning capacity allocation and management of scope time cost and value trade-offs.
• Drive operational excellence through reliable product operations incident and problem management root-cause analysis and post-launch value tracking.
• Manage POD-level risks dependencies data governance security regulatory constraints and vendor or partner relationships.
• Ensure data solutions align with FAIR principles data quality traceability provenance auditability metadata and standardisation requirements.
• Partner with technical leads and architects to deliver scalable reusable secure and enterprise-aligned solutions.
• Monitor relevant market trends and emerging technologies across lab and field R&D including LIMS/ELN lab automation instrument connectivity mobile/offline solutions IoT and sensors geospatial/GIS imaging and digital phenotyping.
• Lead coach and develop Product Managers strengthening product practice and delivery capability across the POD.
• Manage POD budget allocation resource planning and financial performance ensuring optimal return on investment and cost-effective delivery of digital solutions.
• Establish regular stakeholder communication cadences and reporting mechanisms to maintain transparency on product progress risks and business impact across the organisation.
• Leverage product analytics and data-driven insights to inform prioritisation decisions validate product hypotheses and continuously optimise user experience and business outcomes.

Qualifications :

**Required:**

• Demonstrated experience leading product-centric cross-functional teams and delivering measurable outcomes through Agile and Lean product practices.
• Strong product strategy skills including vision setting roadmap development prioritisation portfolio management and value measurement through OKRs/KPIs.
• Experience managing complex digital product portfolios in enterprise environments.
• Understanding of digital R&D workflows in laboratory and/or field environments including data capture experimentation trial execution automation sensors imaging geospatial data and data standards.
• Knowledge of data integrity discoverability metadata taxonomy/ontology traceability provenance auditability and quality controls across data pipelines.
• Experience working with data governance security architecture quality compliance and regulatory requirements.
• Strong stakeholder management and change leadership skills with the ability to influence without formal authority.
• Ability to navigate ambiguity make sound trade-offs and communicate effectively with business and technical leaders.
• Strategic and systems-thinking mindset with the ability to simplify complex challenges whilst maintaining end-to-end design integrity.
• Bachelors or advanced degree in IT Engineering Computer Science Life Sciences or a related fieldor equivalent practical experience.

**Preferred:**

• Proven experience in product analytics data-driven decision-making and continuous optimisation of user experience and business outcomes.
• Demonstrated capability in budget allocation resource planning and financial performance management to ensure optimal return on investment.
• Experience managing vendor relationships third-party integrations and partner collaborations within complex technology environments.
• Knowledge of incident and problem management frameworks root-cause analysis methodologies and post-launch value tracking processes.
• Familiarity with FAIR principles (Findability Accessibility Interoperability Reusability) and industry-standard data frameworks relevant to R&D environments.

**What will make you successful**

You are a collaborative curious and value-oriented leader who sees digital technology as an enabler of meaningful R&D and business outcomes. You are comfortable operating in a fast-paced evolving environment balancing strategic ambition with delivery discipline and bringing diverse teams together around a shared product vision.

Additional Information :

Why Syngenta

Meaningful impact: help build technology that supports scientific innovation and sustainable agriculture.

Complex modern challenges: work on high-scale platforms and systems with room for technical judgement.

Collaborative environment: partner with global engineering R&D and product communities.

Growth: broaden your influence through challenging work visible outcomes and a global network.

Remote Work :

No

Employment Type :

Full-time