13 часов назад
Associate Director, Information Systems (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Associate Director, Information Systems (AI): Leading the strategy, delivery, and continuous evolution of technology products for pricing, commercial operations, analytics, and AI-enabled capabilities with an accent on scalable cloud data platforms, product roadmaps, and operational excellence. Focus on building data and AI solutions with AWS, Databricks, Python, SQL, machine learning, Generative AI, and cross-functional Agile delivery.
Location: Washington, D.C., United States
Company
is a biotechnology company developing and delivering medicines for serious illnesses across oncology, inflammation, general medicine, and rare disease.
What you will do
- Lead the strategy, roadmap, delivery, and continuous evolution of technology products supporting pricing, coverage intelligence, commercial operations, and AI-enabled capabilities.
- Translate business objectives into prioritized capabilities, release plans, investment priorities, and measurable outcomes.
- Lead Agile product execution, including PI Planning, backlog refinement, sprint planning, release planning, dependency management, and delivery performance tracking.
- Drive AI and advanced analytics initiatives, including machine learning, Generative AI, data platforms, and emerging technologies.
- Oversee platform operations, production support, incident management, root-cause analysis, corrective actions, and operational improvement.
- Lead, coach, and develop multidisciplinary teams while partnering with business leaders, architects, engineers, product teams, and other stakeholders.
Requirements
- Doctorate with 3 years, master's degree with 7 years, bachelor's degree with 9 years, associate's degree with 12 years, or high school diploma/GED with 14 years of Information Systems experience.
- At least 3 years of people management or leadership experience involving teams, projects, programs, or resource allocation.
- Experience leading enterprise technology products or platforms for analytics, pricing, commercial operations, business intelligence, or AI-enabled capabilities.
- Technical understanding of Databricks, Python, SQL, Apache Spark, cloud-native data engineering architectures, scalable data pipelines, and AWS.
- Experience delivering data science, machine learning, and AI products into production, including Generative AI, LLMs, RAG, AI agents, prompt engineering, evaluation, and responsible AI practices.
- Experience with enterprise data architecture, governance, security, privacy, regulated environments, product lifecycle management, multidisciplinary teams, Agile, and SAFe methodologies.
Culture & Benefits
- Medical, dental, vision, life, disability, and flexible spending benefits.
- Retirement and savings plan with company contributions.
- Discretionary annual bonus program and stock-based long-term incentives.
- Award-winning time-off plans and career development opportunities.
- Flexible work models where applicable.
Hiring process
- Applications are accepted until a sufficient number of candidates are received or a candidate is selected.
- Visa sponsorship is not guaranteed.
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