Senior Lead Digital Product Manager - AI Strategy & Requirements for Digital Platforms

Required Qualifications:

• 7+ years of Product Management, product development, strategic planning, process management, change delivery, or agile product owner experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• Strong experience working with data-intensive platforms or analytics-driven products
• Proven ability to translate complex technical data into clear insights and product outcomes

Desired Qualifications:

• Hands-on experience with Python, SQL, data analysis, or notebooks

• Strong understanding of observability data (logs, metrics, traces, telemetry, clickstreams)

• Experience with Machine Learning, behavioral analytics, or applied AI/LLMs

• Strong analytical thinking and ability to identify patterns and trends in noisy data *Please note that the additional details of the company were not present in the provided job description and hence omitted from this summary.* About this role: In this role, you will:

• Define, scale, and operate the enterprise ObservetoAgent (O2A) capability and operating model with consistent, secure, and measurable business outcomes. - Own the enterprise Observe strategy, spanning video capture, telemetry ingestion, persona configuration, clickstream processing, and crossbusiness data collection. - Lead the product vision and multirelease roadmap for VideotoCode and enterprise agent creation using multimodal and hybrid deterministic + LLM architectures. - Build and scale agentic automation, converting observed human work into executable agent workflows and reusable code. - Establish enterprise standards for videotoAPI code generation, driving material acceleration in automation delivery and control coverage. - Define and enforce governance, risk, and model assurance standards, including PII protection, hallucination controls, SLA monitoring, rollback, and analystintheloop gates. - Lead crossfunctional teams (Data Science, AI Engineering, Platform, Automation) to deliver multimodal ingestion, semantic graphs, SOP/workflow generation, and multiagent orchestration. - Serve as a trusted advisor to senior leadership, driving enterprise adoption, change management, and largescale AI and automation transformation. - Leverage statistical analysis, machine learning, and LLM-based techniques to generate insights from observability signals. - Guide development of predictive, diagnostic, and prescriptive insights, including root cause analysis and impact attribution. - Act as a highly technical product lead, able to review code, notebooks, models, and data pipelines. Required Qualifications: