AI/ML Product Manager (Based in Riyadh)

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Nizmara Consulting & Executive Search
Saudi Arabia
SAR 150,000 - 200,000
Be among the first applicants.
2 days ago
Job description

At Nizmara Consulting, we pride ourselves on being the premier destination for executive search and talent acquisition, where excellence meets expertise. With a team of seasoned consultants possessing unparalleled industry knowledge and hands-on experience, we specialize in delivering top-tier talent across a diverse range of verticals including; Technology, Financial Services, Banking & Insurance, Healthcare & Life Sciences, E-commerce & Retail, Construction, Engineering & Manufacturing. We leverage tailored solutions backed by industry insight, exceptional talent, strategic partnerships, and a proven track record of success boosting business outcomes.

We are seeking an experienced and visionary AI/ML Product Manager to lead the development and implementation of cutting-edge artificial intelligence and machine learning solutions for a rapidly growing FMCG company under the Public Investment Fund (PIF) in Riyadh. The ideal candidate will have a strong technical background, combined with exceptional product management skills, to bridge the gap between data science and business strategy.

Note: This is an on-site role and requires relocation to Riyadh/Saudi Arabia for applicants residing outside Saudi Arabia.

Responsibilities:

  • Drive the end-to-end product lifecycle for AI/ML-powered solutions, from ideation and strategy to execution and optimization.
  • Collaborate with cross-functional teams, including data scientists, engineers, marketing, and sales, to deliver impactful AI/ML products aligned with business goals.
  • Identify and prioritize use cases that leverage AI/ML to solve complex business challenges in marketing, sales, and operations.
  • Define product roadmaps, set key performance indicators (KPIs), and measure the success of AI/ML initiatives.
  • Translate complex technical concepts into actionable business strategies and communicate these to stakeholders.
  • Ensure all AI/ML solutions are scalable, user-centric, and aligned with the company's data strategy.
  • Stay abreast of the latest AI/ML trends and technologies to identify opportunities for innovation.
  • Oversee the integration of AI/ML solutions with existing data pipelines and platforms, ensuring seamless deployment.
  • Collaborate with leadership to define long-term goals for AI/ML adoption and contribute to overall digital transformation efforts.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Industrial Engineering, Data Science, Artificial Intelligence, or a related field.
  • 5+ years of experience in product management, with at least 3 years focused on AI/ML products.
  • Strong understanding of AI/ML technologies, including supervised and unsupervised learning, natural language processing (NLP), deep learning, and predictive analytics.
  • Proven experience delivering AI/ML solutions that drive measurable business value.
  • Familiarity with big data technologies, cloud platforms (AWS, Azure, GCP), and data visualization tools.
  • Background in Software Product Management in Enterprises and/or Startups is preferred.
  • Ability to understand complex business problems and identify and interpret business needs.
  • Advanced knowledge of agile development methodologies (Agile, DevOps).
  • Demonstrated facilitation and influencing skills to drive decision-making among stakeholders with diverse perspectives and priorities.
  • Demonstrated ability to communicate complex technical information in a condensed manner to various stakeholders verbally and in writing.
  • Knowledge of agile planning tools (e.g., JIRA, Confluence) preferred.
  • Strong analytical and problem-solving skills, with the ability to align technical solutions with business objectives.
  • Excellent communication skills to collaborate effectively with both technical and non-technical stakeholders.
  • Experience in the FMCG sector or other fast-paced industries is a plus.
  • Demonstrated ability to manage multiple projects and meet tight deadlines.
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