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Product Manager, Generative AI & Analytics
Job Location:
Monthly Salary:
Posted:
21 August 2026 (Yesterday)
Posted:
Application Deadline:
18 November 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Description
Responsibilities
Qualifications
What Success Looks Like
User Adoption
- Increase active engagement across business users analysts developers and operational teams.
- Demonstrate sustained growth in product adoption and usage.
Accuracy and Trust
- Deliver reliable AI experiences with measurable improvements in response quality relevance and user satisfaction.
- Establish evaluation frameworks that ensure transparency and confidence in AI-generated outputs.
Productivity Impact
- Improve business analyst and developer productivity through AI-powered automation and insights.
- Reduce manual effort and accelerate access to information and decision support.
Scalability and Enablement
- Enable onboarding of additional domains functions and teams through reusable AI capabilities and improved metadata quality.
- Increase organizational readiness for enterprise AI adoption.
Responsibilities
Product Strategy and Vision
- Define and execute the product strategy roadmap and long-term vision for AI enablement capabilities.
- Identify opportunities where AI can improve productivity automation insight generation and user experience.
- Align product priorities with business objectives and enterprise digital transformation strategies.
Product Discovery and User Experience
- Conduct research with business users analysts engineers developers and operational stakeholders.
- Identify user pain points and opportunities through data-driven discovery and experimentation.
- Translate customer needs into product requirements user stories epics and measurable success criteria.
AI Product Delivery
- Partner closely with engineering data science UX and platform teams to develop and launch AI-powered products.
- Guide development of conversational interfaces AI assistants natural language analytics and developer productivity tools.
- Define experimentation frameworks and evaluation methodologies for AI capabilities and model performance.
Metrics and Business Value
- Establish KPIs and success measures focused on adoption engagement productivity quality trust and operational efficiency.
- Monitor product outcomes and continuously optimize based on user feedback and behavioural insights.
- Develop business cases and value realization frameworks for AI investments.
Governance and Responsible AI
- Champion Responsible AI principles governance frameworks and compliance requirements.
- Promote metadata quality knowledge management explainability and trustworthy AI practices.
- Partner with security legal and governance stakeholders to ensure policy compliance.
Stakeholder Management
- Build strong partnerships across business functions technology organizations and senior leadership.
- Communicate product vision strategy roadmap risks and outcomes effectively to executive and technical audiences.
- Drive organisational adoption and change management activities for AI-powered capabilities.
Qualifications
- Required
- Bachelors degree in Business Computer Science Engineering Information Systems Data Science or a related field.
- 8-10 years of Product Management experience.
- Demonstrated experience delivering AI analytics data or developer-focused products.
- Strong understanding of Generative AI Large Language Models (LLMs) Natural Language Processing (NLP) and conversational interfaces.
- Experience defining product strategy roadmaps and outcome-based success metrics.
- Strong stakeholder management and cross-functional leadership skills.
- Experience working with engineering machine learning user experience and business teams.
- Excellent written verbal presentation and storytelling skills.
Preferred- Experience launching enterprise AI or Generative AI products at scale.
- Experience with cloud platforms such as Azure Google Cloud Platform (GCP) or AWS.
- Familiarity with enterprise data platforms analytics ecosystems and knowledge management solutions.
- Experience defining evaluation frameworks for AI quality trust and model performance.
- Prior experience in developer productivity internal platforms or enterprise tooling products.
- MBA or advanced degree in a related discipline.
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