13 дней назад
Data Science Senior Director, Research Data Domain Lead
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Science Senior Director, Research Data Domain Lead (Research Data, AI): Leading the Research Data Enablement Hub and executing a data strategy that creates governed, reusable, FAIR, and AI-ready research data products with an accent on scientific data fluency, enterprise alignment, and data governance. Focus on prioritizing data products, managing ownership and quality, resolving cross-domain decisions, and driving organizational adoption across a matrixed research organization.
Location: Thousand Oaks, California, United States
Company
is a biotechnology company developing and delivering medicines for serious diseases across oncology, inflammation, general medicine, and rare disease.
What you will do
- Lead the Research Data Enablement Hub and execute the Research Data Domain Strategy.
- Define the research data vision, priorities, roadmap, and measurable outcomes.
- Establish ownership, governance, usage rules, protection, quality, and lifecycle management for research data assets and products.
- Drive FAIR data maturity, standards adoption, reusable data products, and AI-ready research data.
- Partner with R&D Technology, Enterprise Data Strategy and Engineering, privacy, security, compliance, and business stakeholders.
- Lead cross-subdomain decisions and organizational change through Subdomain Leads, Data Champions, and Data Stewards.
Requirements
- Doctorate degree in a relevant field and 5 years of significant relevant experience; or a master’s degree and 9 years; or a bachelor’s degree and 11 years.
- At least 5 years of direct people management or leadership experience directing teams, projects, programs, or resource allocation.
- Scientific data fluency and the ability to translate research objectives into data priorities and measurable business value.
- Experience with data governance, data ownership, data quality, standards, risk, privacy, security, and regulatory requirements.
- Ability to build trusted relationships, make prioritization decisions, resolve complex cross-domain issues, and lead through organizational change.
- Deep understanding of drug discovery, preclinical development, and at least one research data type such as genetics, biologics, small molecules, or assays.
Culture & Benefits
- Collaborative, innovative, science-based, and inclusive work environment.
- Health, dental, vision, life, disability, and flexible spending benefits.
- Retirement and savings plan with company contributions.
- Discretionary annual bonus and stock-based long-term incentives, subject to eligibility.
- Paid time-off plans, work-life balance support, and career development opportunities.
- Sponsorship for this role is not guaranteed.
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