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Manager, AI and Data Product Manager – Infrastructure
EYAI Product Manager driving the development and deployment of AI solutions for clients across Infrastructure and energy sectors. Collaborating with technical teams to translate business needs into actionable product strategies.
Tech Stack
Tools & technologiesAzurePyTorchScikit-LearnTensorflow
About the role
Key responsibilities & impact- Define and drive AI product strategy aligned with client business objectives and industry-specific challenges
- Identify opportunities for AI Products that deliver measurable business value
- Develop product roadmaps that balance innovation with practical implementation considerations
- Partner with business and IT stakeholders to understand strategic priorities into clear, actionable technical specifications
- Facilitate workshops and discovery sessions and present complex technical concepts to non-technical audiences with clarity and impact
- Work closely with client teams to translate business priorities into actionable product requirements
- Support prioritisation of features based on business impact and feasibility
- Manage expectations and maintain strong client relationships throughout delivery
- Collaborate with data engineers, solution architects and AI strategists to define technical solutions business problems
- Ensure data governance, privacy, and quality standards are met by collaborating with technical teams responsible for data lifecycle management
- Lead agile product development teams in a consulting environment including management of product backlogs, sprint planning, and release cycles
- Drive cross-functional collaboration across technology, design, and business teams
- Support the preparation of compelling bid responses and proposals as part of solution sales lifecycle
- Monitor emerging AI technologies and advise on their strategic relevance to client solutions
Requirements
What you’ll need- Bachelor's degree in Computer Science, Engineering, Data Science, or related technical field
- Demonstrated experience in at least two of the following industries: Infrastructure, Capital delivery, Asset Management and energy
- Proven track record of successfully delivering AI products from concept to production at scale
- Experience managing AI product lifecycle from concept to delivery
- Strong understanding of AI/ML technologies and ability to communicate technical concepts clearly to business stakeholders
- Familiarity with modern AI/ML frameworks and tools (e.g. TensorFlow, PyTorch, scikit-learn, UiPath, Snowflake, Databricks, Azure etc.)
- Ability to foster growth and high performance among product teams and cross-functional stakeholders
- Strong communication and storytelling skills: Capable of translating complex AI concepts into clear, compelling narratives for both technical and non-technical audiences
- Skilled in facilitation and workshop design, with the ability to influence and align diverse stakeholder groups around a unified product vision
- Continuous learning mindset - Commitment to staying ahead of rapidly evolving AI technologies, product management practices, and industry trends
- Demonstrated ability to connect technical product capabilities to business outcomes and articulate how they drive measurable value.
Benefits
Comp & perks- Competitive salary
- Flexible working hours
- Professional development budget
- Home office setup allowance
- Global team events
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI product strategyAI product lifecycle managementAI/ML technologiesproduct roadmapsdata governanceagile product developmentsprint planningrelease cyclestechnical specificationsbusiness impact analysis
Soft Skills
communication skillsstorytelling skillsfacilitation skillsinfluencing skillscollaborationclient relationship managementworkshop designcontinuous learning mindsetcross-functional teamworkstakeholder alignment