DigitalR&DDecisionFabricProductOwner

MS – in Business, Science, Computer Science, or related field – required, 10+ years’ experience in digital product management, Experience with designing, implementing, and scaling agentic AI workflows beyond proof-of-concept into production environments, Functional understanding of agent design, including tool integration, orchestration patterns, and multi-agent coordination, Functional understanding of MCP (Model Context Protocol) server design and tool development to connect agents with existing digital RND systems, Experience establishing agent lifecycle management practices, including versioning, inventory management, and reuse frameworks, Understanding of rules engines, business process management tools, and decision modeling standards, Familiarity with productionizing agentic workflows, MCP servers to support agile development of decision support capabilities, Familiarity with major cloud services (AWS preferred), Familiarity with data lakes, warehouses, and pipelines (Snowflake, Databricks, AWS data infrastructure) to ensure the decision fabric has access to clean, reliable data, Excellent communication, stakeholder engagement, and problem-solving skills, Strategic problem-solver who can lead cross-functional discovery workshops and translate business requirements into technical solutions, Proven track record managing cross-functional governance forums and driving organizational change initiatives, Change management skills with experience championing new technologies and driving adoption across organizations, Proven expertise in designing and implementing Agentic AI workflows, preferably supporting enterprise decision-making, Experience connecting decision systems to data lakes, warehouses, and analytics fabrics (Snowflake, Databricks, or similar)