Product Owner

SIEMENS Energy
Abu Dhabi
AED 50,000 - 200,000
Job description

Roles and responsibilities

  • More than 5 years’ work experience, ideally in the energy industry, use of agile methodologies
  • Advanced degree in one of the following fields: Computer science, data science, statistics, engineering, including knowledge in statistical modelling, machine learning, data science
  • Ability to express complex technical concepts in business terms and translate business needs into technical specifications and innovation proposals
  • Excellent analytical skills and profound expertise in making data-driven decisions and communicating outcomes with a strong customer focus
  • Extensive hands-on experience in working collaboratively with product team members such as: product management, implementation team, data engineering, data governance, etc.
  • You are passionate about data and AI and have excellent communication skills, strong interpersonal and collaborative skills, and the ability to navigate easily in a global & multicultural environment

Your Responsibilities

  • Understand business and customer needs, identify opportunities where AI/ML can help, and translate them into technical requirements for AI/ML solutions
  • Develop and manage technical roadmaps, budgets, and timelines, plan and prepare technical reviews, information sharing sessions, and executive management updates
  • Provide product and implementation expertise on best ways to implement features and how to use systems, identify gaps, and advise on solutions (existing products or new developments)
  • Coordinate and actively support the local team in the development of data science and AI/ML solutions for customer projects
  • Closely work together with teams and stakeholders across our business and functions such as engineering, innovation, digital, and software
  • In our external partner ecosystem, you collaborate with universities, research institutes, and other industrial players and engage in joint research projects
  • Be part of an inspiring team of real data science thought leaders and experts within the data & artificial intelligence global team

Desired candidate profile

As a Senior Product Owner, you'll be responsible for defining the vision and direction of a product, prioritizing features, and ensuring that development teams deliver value to customers. Here are key skills and qualifications essential for this role:

  1. Product Vision and Strategy: Ability to create and articulate a clear product vision that aligns with business goals and customer needs.

  2. Stakeholder Management: Experience in engaging with stakeholders, gathering requirements, and managing expectations across various teams.

  3. Agile Methodologies: Strong understanding of Agile frameworks (e.g., Scrum, Kanban) to facilitate iterative development and continuous improvement.

  4. Backlog Management: Skills in prioritizing and managing the product backlog, ensuring that the team focuses on high-value features.

  5. User-Centered Design: Knowledge of UX/UI principles to advocate for customer needs and ensure a positive user experience.

  6. Analytical Skills: Ability to analyze market trends, customer feedback, and performance metrics to inform product decisions.

  7. Communication Skills: Excellent verbal and written communication for effectively conveying ideas, facilitating discussions, and providing updates to stakeholders.

  8. Collaboration: Experience working closely with cross-functional teams, including development, marketing, and sales, to ensure alignment and successful product delivery.

  9. Problem-Solving: Strong analytical and critical-thinking skills to address challenges and make informed decisions.

  10. Market Knowledge: Awareness of industry trends, competitor products, and customer needs to inform product strategy and feature development.

  11. Leadership Skills: Ability to lead and inspire teams, fostering a collaborative and innovative environment.

  12. Continuous Improvement: Commitment to iterating on product features based on user feedback and performance data.

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