Product Manager (AI)

Overview This role will define and deliver the vision, roadmap, and execution for operational data platforms and AI capabilities that enable real‑time insights, automation, and predictive analytics across the enterprise. Key Responsibilities Vision & Strategy: Develop and communicate the product vision for operational data and AI enablement aligned with enterprise goals. Operational Data Platform Enablement: Partner with engineering and data teams to deliver scalable, secure, and governed operational data platform, ensuring integration with existing systems, APIs, and cloud‑native architectures. Integration Strategy & Roadmap: Define the end‑to‑end integration plan between the operational data platform and ServiceNow (Incidents, Changes, CMDB, Requests, Discovery) and prioritize use cases such as auto‑ticketing, ticket enrichment, change risk scoring, proactive problem detection, CMDB health, and AI‑assisted triage. AI & Advanced Analytics: Identify and prioritize AI‑driven use cases (predictive maintenance, anomaly detection, process optimization), and collaborate with data science teams to operationalize models and embed AI into workflows. Stakeholder Engagement: Drive adoption through enablement, training, and clear communication of value while acting as a liaison between business units, engineering, and data science teams. Metrics & Continuous Improvement: Define KPIs such as data availability, AI model accuracy, operational efficiency gains, and adoption rates, and use telemetry and feedback to continuously improve the product. Skills Product management, data, AI Additional Skills & Qualifications Experience: 7+ years in product management focused on data platforms, analytics, or AI, with a proven track record of delivering data‑driven products in large‑scale enterprise environments. Technical Skills: Familiarity with data platforms (Snowflake, Azure Synapse), streaming technologies (Kafka), cloud services (AWS, Azure, GCP), ServiceNow, AI/ML lifecycle, model deployment and MLOps, data governance, security, and compliance frameworks. Soft Skills: Strong stakeholder management and communication, ability to translate technical capabilities into business outcomes, data‑driven decision‑making, strategic thinking, and experience with operational data domains (IT operations, infrastructure telemetry, business process data). Certifications: Cloud data services, AI/ML, or product management (e.g., SAFe POPM). Experience Level Intermediate Level Job Type & Location This is a contract position based out of Charlotte, NC. Pay and Benefits $72.00 – $79.00 per hour Medical, dental and vision coverage Critical Illness, Accident and Hospital plans 401(k) retirement plan – pre‑tax and Roth post‑tax contributions available Voluntary life & AD&D insurance for the employee and dependents Short and long‑term disability coverage Health Spending Account (HSA) Transportation benefits Employee Assistance Program Time‑off / Leave (PTO, vacation or sick leave) Workplace Type This is a hybrid position in Charlotte, NC. Equal Opportunity Employer The company is an equal‑opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. #J-18808-Ljbffr TEKsystems