AI Product Manager at Ovations Technologies

• Are you passionate about Artificial Intelligence, product innovation, and delivering technology solutions that create measurable business value?
• We are looking for an experienced AI Product Manager to drive the strategy, development, delivery, and continuous improvement of AI-enabled products. The successful candidate will bridge the gap between business needs, user experience, data science, and technical delivery to ensure AI solutions deliver meaningful business outcomes.

Key Responsibilities:

• Identify and prioritise AI opportunities based on business value, feasibility, data readiness, cost, and risk.
• Define product requirements, user stories, features, acceptance criteria, and product roadmaps.
• Collaborate with data scientists, ML engineers, researchers, architects, and development teams to guide AI product development.
• Assess AI models and technology solutions against product requirements, performance, cost, security, and scalability.
• Define data requirements and coordinate data readiness, quality, access, and governance.
• Establish evaluation frameworks, performance metrics, pilot programmes, proof of concepts (PoCs), and testing strategies.
• Monitor product performance, adoption, quality, costs, and business outcomes to drive continuous improvement.
• Ensure responsible AI practices, governance, privacy, risk management, and regulatory compliance are incorporated throughout the product lifecycle.
• Develop business cases, ROI assessments, value propositions, and pricing strategies for AI-enabled products.
• Drive stakeholder engagement, change management, user adoption, and benefits realisation.

Minimum Requirements:

• Experience in product management, business analysis, or software development lifecycle (SDLC) practices.
• Proven experience in product roadmap development, backlog prioritisation, Agile methodologies, and cross-functional delivery.
• Foundational to intermediate knowledge of AI, Machine Learning, and Generative AI, supported by relevant certifications.
• Experience with data-driven products, data quality, data governance, data modelling, and data readiness.
• Exposure to pilots, proof of concepts, A/B testing, and model evaluation frameworks.
• Proficiency in analytics and monitoring tools such as Power BI, Tableau, Qlik, Azure Monitor, Application Insights, or equivalent.
• Knowledge of Responsible AI, AI governance, risk management, privacy, and ethical AI practices.
• Experience developing business cases, financial models, ROI assessments, cost-benefit analyses, and pricing strategies.
• Strong stakeholder management, communication, analytical, and problem-solving skills.

Advantageous Qualifications:

• A Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, Business Science, or a related field.
• Certifications in Product Management, Agile delivery, Business Analysis, AI, or Data disciplines, such as PSPO, CSPO, SAFe POPM, CBAP, or equivalent.
• Experience delivering AI, analytics, digital transformation, or enterprise technology initiatives within large organisations.