Associate Director Solutions Partner (Scientific Data Product Owner)
Build our future together:We are seeking an Associate Director Solutions Partner to be a Scientific Data Product Owner and to lead the holistic data strategy for modelling, connecting, and managing Research and preclinical development scientific data in our enterprise data lake. This data originates from our transactional lab informatics systems (e.g., ELN, LIMS, instrument and analytical platforms, registration systems), and our goal is to transform it from siloed transactional records into well-modelled, connected, and reusable data products.Sitting at the intersection of science, data engineering, and product management, you will own the vision and roadmap for how scientific data from Research and preclinical development is structured and surfaced within the data lake. You will partner closely with Digital & Technology teams that need connected data products to analyze and report on scientific outcomes, and with data scientists who require curated, connected scientific datasets to power analytics, modelling, and AI initiatives. You will also work hand in hand with data engineering teams to build these connected data products in the lake.This is a strategic, cross-functional role for someone who understands both the underlying science and the data architecture required to make that science discoverable and actionable at scale, and who is able to productively partner with multiple stakeholders at multiple levels throughout the organization.When: Based at our Tarrytown, NY locationWhere: 4 days onsite per week required Discover your role:Define and drive the holistic data strategy for modelling and managing connected scientific data in the data lake, ensuring data flowing in from transactional lab informatics systems is harmonized, contextualized, and connected.Partner with data engineering to define and shape the ingestion, transformation, and integration pipelines (ETL/ELT) that move data from transactional lab informatics systems into the data lake and turn it into connected, production-grade data products.Own the product vision, roadmap, and backlog for scientific data products, prioritizing based on scientific value, downstream demand, and organizational impact.Design and govern data models that capture the relationships across scientific entities (e.g., compounds, biologics, samples, assays, experiments, results, instruments, and study metadata) so that data is connected rather than isolated.Translate the needs of scientific, Digital & Technology, and analytics stakeholders into clear data product requirements, acceptance criteria, and delivery plans, and drive outcomes that are aligned with all stakeholders, as well as with the corporate Digital and Transformation strategy.Partner with Digital & Technology teams that consume connected data products from the data lake for analysis and reporting, ensuring data products meet their integration, quality, and access requirements.Partner with data scientists seeking connected ...