Data and AI product management lead

Darwin Recruitment

Portugal

Presencial

EUR 90 000 - 120 000

Tempo integral

14 dias+
Gerador de candidaturas

Uma candidatura feita para esta oferta — um currículo e uma carta de apresentação personalizados que vão ao encontro do anúncio.

Ultrapassa os filtros ATS

Vantagens oferecidas por esta oferta de emprego

Healthcare package
Bonus program

Resumo da oferta

Darwin Recruitment in Portugal is seeking a Data & AI Product Management Lead to own the data and AI product portfolio and drive the development of innovative, scalable technology solutions.

This senior leadership role blends product strategy, technical acumen and people management. You will collaborate with data scientists, software engineers and business stakeholders to translate complex data initiatives into products delivering measurable business value.

Qualificações

  • 5+ years in Product Management or related tech role.
  • Experience in Data, AI, ML or analytics-driven products.
  • Proven experience leading teams.
  • Strong understanding of AI/ML and data technologies.
  • Familiar with TensorFlow, PyTorch and scikit-learn.
  • Experience with Agile/Scrum and Jira.

Responsabilidades

  • Define and execute the product vision, strategy and roadmap for the Data & AI product portfolio.
  • Lead and mentor a team of Product Managers, creating a collaborative and high-performing environment.
  • Own the complete product lifecycle from ideation and discovery through development, launch and post-launch optimisation.
  • Develop and maintain detailed product roadmaps, milestones and delivery plans.
  • Work closely with data scientists, software engineers, data engineers and other technical teams to deliver innovative AI and data solutions.
  • Translate customer and business requirements into clear product requirements, user stories and acceptance criteria.
  • Own and prioritise the product backlog based on business value, customer needs and strategic objectives.
  • Lead sprint planning, reviews and other Agile ceremonies.
  • Coordinate cross-functional teams to ensure successful product delivery within agreed scope, timelines and quality standards.
  • Ensure AI models, data products and platforms meet requirements for quality, scalability, reliability and performance.
  • Define and monitor KPIs and product performance metrics.
  • Use data and customer feedback to drive continuous product improvement.
  • Manage priorities, dependencies, risks and trade-offs across the product portfolio.
  • Communicate product strategy and technical concepts effectively to senior stakeholders and diverse audiences.
  • Stay informed about emerging technologies, market developments and trends across AI, machine learning and data.

Conhecimentos

Product management
Stakeholder management
Agile/Scrum
Data-driven decision making
Communication
Technical intuition

Formação académica

CS/DS/Engineering/Business degree

Ferramentas

Jira
TensorFlow
PyTorch
scikit-learn

Descrição da oferta de emprego

Data & AI Product Management Lead

Location: Portugal
Salary: €90-120,000 + 15% bonus annually
Industry: Technology / Data & Artificial Intelligence

Overview of the role

We are working with an innovative technology organisation operating at the forefront of Data & Artificial Intelligence. They are looking to hire a Data & AI Product Management Lead to take ownership of their data and AI product portfolio and drive the development of innovative, scalable technology solutions.

This is a senior product leadership position combining product strategy, technical understanding, stakeholder management and people leadership. You will work closely with data scientists, software engineers, technical teams and business stakeholders to translate complex technology into products that deliver measurable business and customer value.

The successful candidate will have a strong background in Data, AI/ML and Product Management, together with the leadership skills required to build high-performing teams and successfully take products from concept through to delivery and continuous improvement.

Key Responsibilities

  • Define and execute the product vision, strategy and roadmap for the Data & AI product portfolio.
  • Lead and mentor a team of Product Managers, creating a collaborative and high-performing environment.
  • Own the complete product lifecycle from ideation and discovery through development, launch and post-launch optimisation.
  • Develop and maintain detailed product roadmaps, milestones and delivery plans.
  • Work closely with data scientists, software engineers, data engineers and other technical teams to deliver innovative AI and data solutions.
  • Translate customer and business requirements into clear product requirements, user stories and acceptance criteria.
  • Own and prioritise the product backlog based on business value, customer needs and strategic objectives.
  • Lead sprint planning, reviews and other Agile ceremonies.
  • Coordinate cross-functional teams to ensure successful product delivery within agreed scope, timelines and quality standards.
  • Ensure AI models, data products and platforms meet requirements for quality, scalability, reliability and performance.
  • Define and monitor KPIs and product performance metrics.
  • Use data and customer feedback to drive continuous product improvement.
  • Manage priorities, dependencies, risks and trade-offs across the product portfolio.
  • Communicate product strategy and technical concepts effectively to senior stakeholders and diverse audiences.
  • Stay informed about emerging technologies, market developments and trends across AI, machine learning and data.

Candidate Profile

Essential

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Business or a related technical discipline.
  • 5+ years’ experience in Product Management, Product Ownership or a similar technology-focused role.
  • Previous experience in Data, AI, Machine Learning or analytics-driven products.
  • Proven experience leading teams or providing product leadership.
  • Strong understanding of AI/ML, data analytics, data engineering and big data technologies.
  • Good understanding of AI/ML frameworks and technologies such as TensorFlow, PyTorch or scikit-learn.
  • Strong experience with Agile/Scrum methodologies and tools such as Jira.
  • Demonstrated ability to manage product roadmaps, backlogs, priorities and delivery.
  • Excellent stakeholder management and communication skills.
  • Ability to translate complex technical concepts into clear business requirements and actionable plans.
  • Strong analytical and problem-solving abilities with a data-driven approach to decision-making.
  • Comfortable operating in a fast-paced, dynamic technology environment.
  • Strong technical acumen and the ability to engage effectively with engineering and data teams.

Highly Preferred

  • Experience managing a portfolio of AI or data products rather than a single product.
  • Experience building and leading high-performing Product Management teams.
  • Experience working closely with Data Science, Data Engineering and Software Engineering teams.
  • Experience presenting product strategy and recommendations to senior leadership.
  • Experience taking AI/ML products from concept through to commercial deployment.

Beneficial

  • Product Owner or Product Management certification, such as CSPO or equivalent.
  • Experience within a technology scale-up or innovation-focused environment.
  • Experience with AI platforms, cloud technologies or modern data platforms.
  • Familiarity with emerging AI technologies and industry trends.

What is on offer?

  • Opportunity to join an innovative organisation working with advanced Data & AI technologies.
  • Senior-level ownership and influence over a growing product portfolio.
  • Collaborative, multidisciplinary working environment.
  • Competitive salary package aligned with experience.
  • Performance-related bonus.
  • Employee benefits package including healthcare and other company-supported benefits.
  • Opportunities for professional development and career progression.
  • The opportunity to work on technology with significant business and customer impact.
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