6 дней назад
Product Manager R&D Applications (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Product Manager R&D Applications (AI) (Analytics, forecasting, optimization, and AI-enabled decision support): Driving the vision, roadmap, and delivery of digital products for complex business and R&D environments with an accent on product strategy, measurable outcomes, and cross-functional alignment. Focus on prioritizing investments, governing AI/ML-enabled products, and ensuring scalability, interoperability, security, and data governance.
Location: Basel, Switzerland
Company
is an independent technology consulting firm providing digital, technology, life sciences, and engineering solutions to businesses worldwide.
What you will do
- Define the product vision, value hypotheses, roadmap, and portfolio strategy for digital R&D products.
- Lead prioritization and investment decisions across product capabilities, balancing value, scope, cost, time, risk, and capacity.
- Deliver products for analytics, forecasting, scenario planning, resource and capacity planning, optimization, and AI-enabled decision support.
- Partner with R&D, business, data, technology, security, architecture, and governance stakeholders to deliver measurable outcomes.
- Establish OKRs and KPIs covering adoption, user outcomes, decision quality, operational performance, reliability, and total cost of ownership.
- Lead backlog management, release governance, dependency management, adoption, change management, and continuous feedback.
Requirements
- Experience leading product-centric teams and delivering measurable outcomes through Agile and Lean product practices.
- Experience with analytics, predictive modeling, decision intelligence, planning, forecasting, optimization, or AI-enabled digital products.
- Understanding of AI/ML concepts, including explainability, traceability, evaluation, monitoring, governance, and human-in-the-loop decision-making.
- Knowledge of scientific data, model lifecycle management, data provenance, reproducibility, metadata, cataloging, solution architecture, and integration patterns.
- Experience with product strategy, customer discovery, user research, prioritization, portfolio management, and value measurement.
- Fluent English required. A university degree in IT, Computer Science, Science, or a related field is required, or equivalent experience.
Nice to have
- Additional language skills.
- Familiarity with regulatory, compliance, and governance frameworks for AI/ML and data-driven products.
Culture & Benefits
- International community with more than 110 nationalities.
- Internal Academy with more than 250 training modules.
- Trust-based environment with opportunities to develop into leadership roles.
- Regular internal events, including afterworks and team-building activities.
- Opportunity to contribute to sustainability and social or environmental impact projects through the WeCare Together program.
Hiring process
- Brief virtual or phone call.
- Approximately three interviews, depending on seniority.
- Role-dependent case study, technical assessment, role play, or problem-solving exercise.
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