Generative AI Product Owner
5 days ago
The AI Product Owner is responsible for driving the strategic direction, adoption, and implementation of artificial intelligence (AI) solutions to align with organizational goals. This role involves identifying opportunities for AI to optimize processes, improve decision-making, and deliver innovative solutions. The AI Product Owner works collaboratively across departments to ensure the effective integration of AI technologies, oversees key AI projects, and monitors their success.
Key Responsibilities
- Strategic Planning
- Develop and execute the organization's AI strategy in alignment with overall business objectives.
- Identify opportunities to leverage AI for competitive advantage, operational efficiency, and customer experience improvement.
- Stay ahead of trends in AI, machine learning, and related technologies to inform decision-making.
- Project Management
- Lead cross-functional teams to implement AI initiatives.
- Establish key performance indicators (KPIs) to measure the success of AI projects.
- Manage timelines, budgets, and resources to ensure project deliverables are met.
- Stakeholder Collaboration
- Collaborate with executive leadership to prioritize AI investments and initiatives.
- Act as a liaison between technical teams and business units to translate AI capabilities into actionable insights.
- Facilitate training and knowledge-sharing sessions on AI applications and trends.
- AI Product Development
- Assess and select AI tools, platforms, and vendors.
- Oversee the deployment and integration of AI systems into existing workflows.
- Ensure compliance with data privacy, security, and ethical AI standards.
- Lead the end-to-end AI product development lifecycle, from ideation to launch, ensuring timely delivery and positive ROI.
- Design and deploy AI models and agents to help the organization improve efficiency and revenue, focused on 1-2 domains including Agriculture, Manufacturing, Supply Chain, Commercial, and corporate functions.
- Create positive digital workforce experience through advanced analytics, predictive modeling, and recommendation systems.
- Conduct persona research and gather user feedback to identify unmet needs and areas for product and process enhancements, using AI toolkits.
- Experience with cloud platforms (Azure, Google Cloud) and scalable AI platforms.
- Performance Monitoring
- Analyze the performance of AI systems and recommend improvements.
- Report on the impact of AI initiatives on business outcomes.
- Identify risks and mitigation strategies related to AI adoption.
Qualifications
Education:
- Bachelor's or Master's degree in Computer Science, Data Science, Process Optimization, or a related field.
- Certification in AI and machine learning, and Azure and Databricks certifications.
Experience:
- 5+ years of experience in AI, data science, or related field in the Strategy Consulting Industry.
- Experience working with academics and industries such as IIT and IIM.
- Proven track record in developing and implementing AI solutions.
- Experience managing complex projects and cross-functional teams.
- Industry-specific experience in CPG.
Skills:
- Strong understanding of AI technologies (e.g., machine learning, NLP, computer vision).
- Excellent analytical, problem-solving, and decision-making skills.
- Strong communication skills to effectively convey complex concepts to diverse audiences.
Familiarity with data governance and ethical AI considerations.
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