About Inari...
Inari is the SEEDesign™ company. We embrace the diversity and complexity of nature in every aspect of our business to drive innovation – to push the boundaries of what is possible. Through our unrivaled technology platform, Inari uses predictive design and advanced multiplex gene editing to develop step-change products. We are taking a nature positive approach to unlock the full potential of seed that will transform the food system. The results will lead to more productive acres delivering value creation for farmers and a more sustainable future for our planet.
Our success is dependent on great minds, collaborating to generate bright ideas and deliver exceptional outcomes.
We have over 300 employees, with research sites in Cambridge, MA (USA) and Ghent (Belgium), as well as a product development site in West Lafayette, IN (USA). We’ve deliberately built a team that brings diversity of thought to all aspects of our business, to generate new ideas, approaches, and ways of operating. And we've intentionally combined experience with potential, bringing agriculture industry experts with the desire to innovate together with bright minds from academia, human therapeutics, software, and consulting. If you want to be part of a diverse and inclusive team developing unique solutions to feed the world while protecting our planet’s natural resources, we’d love to hear from you!
About the role…
We are seeking a highly skilled and experienced Data Management and Decision Support Lead professional to lead data management strategies and provide critical support for data-driven decision-making. This role is pivotal in ensuring the integrity, accessibility, and utility of organizational data, enabling strategic insights and operational excellence. The ideal candidate will have a proven track record in data governance, analytics, and technology solutions, combined with strong leadership and stakeholder management skills.
As an Enterprise Data Operations Lead, you will…
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Data Integration & Quality:
- Lead efforts to integrate data from diverse sources, ensuring accuracy, consistency, and completeness to support reliable decision-making processes
- Work closely with Science, Product and Commercial data managers to coordinate data integrity and access for cross-functional needs and defining policies/standards required
- Work closely with Science and Product Development data managers and systems/data engineering to assess and address the data capture and integrity (e.g. system of records) gaps across Inari critical business processes
- Build business process map and system of records map in collaboration with Science and Product Development data managers
- Build and manage the Inari data catalog and registration process including Inari master data keys and controlled vocabularies.
- Work closely with data science manager and key Science and Product Development stakeholders (e.g. project teams, computational biology) to define Inari data products portfolio, roadmap and lifecycle management
- Define the data accessibility approach for the greenhouse through field trial data and customer data from key systems (e.g. ELN, LIMS, PRISM) including any additional data enrichments and ensure that all data assets are properly cataloged and accessible to relevant users at Inari
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Analytical Decision Support:
- Design and implement advanced data models, dashboards, and analytics tools to facilitate data-driven decisions across departments.
- Partner with cross-functional teams to understand data needs, deliver actionable insights, and align data initiatives with business objectives.
- Work closely with Science data manager to define the data accessibility approach for the biological data generated in the Science labs from experimental data and their metadata to any contextual data required to describe the scientific context for the experiments (e.g. genomics and plant ontologies) to produce various knowledge graph data products.
You bring…
- 10+ yrs experience in a life sciences data management role or equivalent
- 5+ years of coding experience with Python or R
- Avid collaborator with strong communication skills
- Track record of experience with data governance, data quality, data architecture, data integration, data management practices and data product life cycle management
- Proven experience with project planning, management, and prioritization of business needs
- Experience in agrigenomics, agtech, plant biology, bioengineering is a plus
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