In this role you will lead the development and management of an enterprise-scale agentic AI ecosystem designed to streamline complex business processes through intelligent automation. This solution will be structured across six interconnected pods each focused on a critical layer of the systemdata federation orchestration reasoning governance activation and experience delivery. The role requires understanding of data warehousing AI system design and cloud-native architecture to drive the strategic direction and execution of the organizations AI-driven data product roadmap.
Responsibilities:
- Define and execute the vision strategy and roadmap for AI-powered and federated data products aligning agentic system capabilities with business goals and operational efficiency.
- Lead a team of product managers and collaborate closely with engineering data science and AI research teams to deliver scalable intelligent and autonomous data systems.
- Develop and oversee six specialized pods responsible for AI agent orchestration data integration warehousing and decision intelligence.
- Conduct market research competitive analysis and internal assessments to identify opportunities for applying agentic AI to real-world business processes.
- Drive the entire product lifecycle from concept to deployment including feature prioritization orchestration design and go-to-market planning for AI-driven data solutions.
- Partner with cloud and data platform providers (e.g. AWS Azure Google Cloud Snowflake) to optimize data federation model performance and scalability.
- Define and manage architecture patterns for data warehousing and federation ensuring seamless data interoperability across multi-cloud and hybrid environments.
- Establish metrics for AI agent performance and continuously improve outcomes through feedback loops data-driven insights and reinforcement learning principles.
- Ensure compliance with data privacy regulations AI governance standards and ethical best practices in intelligent data management.
- Collaborate with sales and customer success teams to support product adoption satisfaction and revenue growth through AI-enabled automation and analytics.
- Act as a thought leader in AI systems and data federation strategy contributing insights through industry publications panels and conferences.
Qualifications :
- Proven experience in product management leadership roles with a focus on AI-driven or data-centric products and platforms.
- Deep understanding of agentic AI systems data federation and modern data warehousing architectures.
- Strong technical background with experience in data engineering AI/ML systems or intelligent automation frameworks.
- Proficiency in at least one major cloud platform (AWS Azure Google Cloud) and familiarity with data federation tools such as Trino Starburst or Presto.
- Excellent analytical and problem-solving skills with the ability to translate complex AI and data concepts into clear business value propositions.
- Demonstrated success in driving innovation and execution across federated multi-team ecosystems.
- Strong leadership and communication skills with the ability to influence stakeholders and align cross-functional teams toward a unified AI strategy.
Remote Work :
Yes
Employment Type :
Full-time
In this role you will lead the development and management of an enterprise-scale agentic AI ecosystem designed to streamline complex business processes through intelligent automation. This solution will be structured across six interconnected pods each focused on a critical layer of the systemdata f...
In this role you will lead the development and management of an enterprise-scale agentic AI ecosystem designed to streamline complex business processes through intelligent automation. This solution will be structured across six interconnected pods each focused on a critical layer of the systemdata federation orchestration reasoning governance activation and experience delivery. The role requires understanding of data warehousing AI system design and cloud-native architecture to drive the strategic direction and execution of the organizations AI-driven data product roadmap.
Responsibilities:
- Define and execute the vision strategy and roadmap for AI-powered and federated data products aligning agentic system capabilities with business goals and operational efficiency.
- Lead a team of product managers and collaborate closely with engineering data science and AI research teams to deliver scalable intelligent and autonomous data systems.
- Develop and oversee six specialized pods responsible for AI agent orchestration data integration warehousing and decision intelligence.
- Conduct market research competitive analysis and internal assessments to identify opportunities for applying agentic AI to real-world business processes.
- Drive the entire product lifecycle from concept to deployment including feature prioritization orchestration design and go-to-market planning for AI-driven data solutions.
- Partner with cloud and data platform providers (e.g. AWS Azure Google Cloud Snowflake) to optimize data federation model performance and scalability.
- Define and manage architecture patterns for data warehousing and federation ensuring seamless data interoperability across multi-cloud and hybrid environments.
- Establish metrics for AI agent performance and continuously improve outcomes through feedback loops data-driven insights and reinforcement learning principles.
- Ensure compliance with data privacy regulations AI governance standards and ethical best practices in intelligent data management.
- Collaborate with sales and customer success teams to support product adoption satisfaction and revenue growth through AI-enabled automation and analytics.
- Act as a thought leader in AI systems and data federation strategy contributing insights through industry publications panels and conferences.
Qualifications :
- Proven experience in product management leadership roles with a focus on AI-driven or data-centric products and platforms.
- Deep understanding of agentic AI systems data federation and modern data warehousing architectures.
- Strong technical background with experience in data engineering AI/ML systems or intelligent automation frameworks.
- Proficiency in at least one major cloud platform (AWS Azure Google Cloud) and familiarity with data federation tools such as Trino Starburst or Presto.
- Excellent analytical and problem-solving skills with the ability to translate complex AI and data concepts into clear business value propositions.
- Demonstrated success in driving innovation and execution across federated multi-team ecosystems.
- Strong leadership and communication skills with the ability to influence stakeholders and align cross-functional teams toward a unified AI strategy.
Remote Work :
Yes
Employment Type :
Full-time
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