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High Salary Generative AI Product Owner
1 month ago
**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.