2 дня назад
Associate Director, Information Systems (AI)
171 556 - 232 106$
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 supporting pricing, coverage intelligence, and commercial operations with an accent on scalable cloud data platforms, AI, and product lifecycle leadership. Focus on defining roadmaps, leading Agile teams, driving machine learning and Generative AI initiatives, and ensuring operational stability, governance, and measurable business value.
Location: United States — Remote
Salary: $171,556.35–$232,105.65 per year
Company
is a biotechnology company developing and manufacturing medicines for serious illnesses across oncology, inflammation, general medicine, and rare disease.
What you will do
- Lead the technology strategy and delivery for products supporting Coverage Pricing Intelligence, CapAI, and Pricing capabilities.
- Own product roadmaps, investment priorities, release plans, and measurable business outcomes.
- Partner with business leaders, engineers, architects, product teams, and other stakeholders to deliver scalable technology solutions.
- Lead Agile execution, including PI Planning, backlog refinement, sprint planning, release planning, and dependency management.
- Drive AI, machine learning, Generative AI, and advanced analytics initiatives for commercial operations and decision-making.
- Oversee platform operations, production support, incident management, root-cause analysis, corrective actions, and continuous improvement.
Requirements
- Doctorate and 3 years, master’s degree and 7 years, bachelor’s degree and 9 years, associate’s degree and 12 years, or high school diploma/GED and 14 years of Information Systems experience.
- At least 3 years of direct people management or leadership experience guiding teams, projects, programs, or resource allocation.
- Experience with enterprise technology products or platforms for analytics, pricing, commercial operations, business intelligence, or AI-enabled capabilities.
- Strong understanding of Databricks, Python, SQL, Apache Spark, cloud-native data engineering, scalable data pipelines, and AWS.
- Experience delivering data science, machine learning, and AI-powered products from concept through production, adoption, and continuous improvement.
- Knowledge of enterprise data architecture, governance, security, privacy, regulatory requirements, Agile product organizations, and SAFe methodologies.
Culture & Benefits
- Collaborative, innovative, and science-based work environment.
- Health, dental, and vision coverage, life and disability insurance, and flexible spending accounts.
- Retirement and savings plan with company contributions.
- Annual bonus program and stock-based long-term incentives, subject to eligibility.
- Paid time-off plans and career development opportunities.
- Flexible work models where applicable; sponsorship is not guaranteed.
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