Product Owner Platforms Configurations and Data Mgmt

Role Overview

As Product Owner Platforms Configurations and Data Management, you will be a technical leader and hands-on architect responsible for evolving Sanofi's CMDB, Discovery, and configuration data ecosystem into an AI-ready, data-centric foundation. This is not a traditional ServiceNow administration role, this is a strategic technical leadership position that bridges platform engineering, data management, AI integration, and DevOps.

You will lead a team of developers, drive technical excellence, and champion the transformation from configuration management to intelligent data operations. You'll work at the intersection of ServiceNow, Snowflake, Generative AI, and modern data platforms, building integrations via APIs and Model Context Protocol (MCP), harmonizing data across systems, and implementing automation that challenges the status quo.

This role demands a proactive problem-solver who can code, architect, mentor, and lead, someone equally comfortable designing and implementing data models, writing scripts, configuring ServiceNow Discovery and Service Mappings, and collaborating with AI engineers to build next-generation capabilities.

Main Responsibilities

Technical Leadership Development

• Lead the design, development, and optimization of ServiceNow CMDB, Discovery, Service Mapping, and ITOM capabilities


• Architect and implement data integrations between ServiceNow, Snowflake, and enterprise data platforms using REST/GraphQL APIs, MCP (Model Context Protocol), and application-to-application (A2A) patterns


• Develop automation scripts and workflows using JavaScript, Python, or other scripting languages to enhance platform capabilities and data quality


• Design and maintain data structures, schemas, and harmonization logic to ensure consistency across configuration, asset, and infrastructure data


• Leverage Generative AI tools (e.g., Claude, GPT models) and AI algorithms to automate discovery, classification, relationship mapping, and anomaly detection


• Implement DevOps practices for platform development, including CI/CD pipelines, version control, and automated deployment across development, test, and production environments

CMDB Data Management Excellence

• Own the strategy and execution of CMDB maturity, ensuring alignment with Common Service Data Model (CSDM) standards


• Drive automated discovery and service mapping across hybrid cloud, on-premises, and SaaS environments


• Establish data quality frameworks, KPIs, and governance processes to maintain high-integrity configuration and asset data


• Technically and processually lead Software Asset Management (SAM) and Hardware Asset Management (HAM) initiatives, ensuring compliance and optimization


• Define and implement data harmonization strategies to integrate CMDB data with Snowflake, data lakes, and analytics platforms

Product Roadmap Ownership

• Define and prioritize the product roadmap for Platforms Configurations and Data Management in collaboration with stakeholders


• Manage the full product lifecycle: ideation, development, deployment, maintenance, and continuous improvement


• Partner with Enterprise Architecture, IT Strategy, and business process owners to align platform capabilities with strategic initiatives


• Evaluate emerging technologies and methodologies (AI/ML, DataOps, AIOps) and integrate them into the platform strategy

Team Leadership Collaboration

• Lead, mentor, and develop a team of developers and data specialists, fostering a culture of innovation, accountability, and continuous learning


• Organize and prioritize team workload, remove blockers, and ensure timely delivery of high-quality solutions


• Act as a technical point of contact and subject matter expert for CMDB, Discovery, ITOM, and data management


• Collaborate with cross-functional teams including Infrastructure, Operations, Security, Compliance, and AI/Data Science teams


• Drive change management initiatives, challenging existing processes and championing data-driven, automated approaches

About You

Required Qualifications

• Education: Bachelor's degree in Information Systems, Computer Science, Data Engineering, or related field


• Experience: Minimum 5 years of hands-on experience with CMDB, including automated Discovery, Service Mapping, and asset management in complex, global environments


• ServiceNow Expertise: Deep knowledge of ServiceNow ITOM, CMDB, Discovery, Service Mapping, and CSDM implementation


• Data Integration Skills: Proven experience with data platforms (e.g., Snowflake), API development (REST, GraphQL), data harmonization, and integration patterns (MCP, A2A)


• Development Proficiency: Coding skills in JavaScript, Python, or similar scripting languages; proficiency in SQL for data querying and manipulation


• DevOps Knowledge: Experience with CI/CD pipelines, version control (Git), and automated deployment practices


• Software Asset Management: Hands-on experience with SAM and HAM processes, tools, and compliance frameworks


• Industry Standards: Solid understanding of CSDM, ITIL, and IT asset management best practices


• Agile Methodology: Experience working in Agile environments with product management principles (roadmap definition, backlog prioritization, sprint planning)

Preferred Qualifications

• Advanced Education: Postgraduate degree or certification in AI, Data Science, Technology Architecture, or related field


• AI Analytics: Experience with Generative AI tools, machine learning algorithms, and AI-assisted automation


• Cloud Platforms: Familiarity with AWS, Azure, or GCP infrastructure and cloud-native discovery tools


• Advanced ServiceNow: ServiceNow certifications (CIS-Discovery, CIS-ITOM, CIS-SAM) or equivalent expertise


• Data Engineering: Experience with data modeling, ETL/ELT processes, and modern data stack technologies

Leadership Competencies

• Proactive Innovative: Self-starter who anticipates challenges, proposes solutions, and drives continuous improvement


• Problem-Solving Analytical Thinking: Ability to diagnose complex technical and data issues and architect scalable solutions


• Communication Influence: Excellent verbal and written communication skills; ability to articulate technical concepts to non-technical stakeholders


• Collaboration Teamwork: Proven ability to work effectively in global, cross-functional teams across time zones and cultures


• Mentorship Development: Passion for coaching and developing team members, fostering technical growth and accountability


• Change Leadership: Comfortable challenging the status quo, driving transformation, and managing resistance to change


• Results-Oriented: Track record of delivering high-impact outcomes in fast-paced, dynamic environments