AI Product Owner Only 24h Left
2 weeks ago
Key Responsibilities
1. 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.
1. 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.
1. 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.
1. 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, Azure, Google Cloud) and scalable AI platforms.
1. 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.
Key Competencies
- Strategic thinking and innovation.
- Leadership and team collaboration.
- Technical proficiency and adaptability.
- Business acumen and stakeholder management.
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