Sanofi Healthcare India Private Limited Posted September 29, 2026

Product Owner Platforms Configurations and Data Mgmt

Hyderabad, India Full time
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Sanofi Healthcare India Private Limited is the source of truth for this posting and owns the application process. We surface normalized context and market comparison you won't find on the original listing.

About this opportunity

About Sanofi

At Sanofi, we're chasing the miracles of science to improve people's lives. We're an AI-driven biopharma company, leveraging cutting-edge technology and data to dramatically reduce the time from molecule discovery to delivering life-changing medicines to patients. Our ambition is bold: harness artificial intelligence, advanced analytics, and modern data platforms to revolutionize how we discover, develop, manufacture, and deliver healthcare solutions globally.

Our Team: Process Enablement Platforms

The Process Enablement Platforms team within Digital Tech is at the heart of Sanofi's digital transformation. We design, build, and operate the foundational technology platforms that enable seamless business processes across our 70+ manufacturing sites, clinical facilities, laboratories, and corporate locations in over 50 countries. Our mission is to unlock value through intelligent automation, data-driven insights, and world-class platform engineering.

We're responsible for core platforms and products that sustain Digital Technologies and part of Business Processes, covering ServiceNow, Configuration Management Database (CMDB), IT Operations Management (ITOM), Asset and Hardware Management, and the data infrastructure that powers AI-assisted IT Service Management. We don't just maintain platform, we architect the future of how Sanofi manages its technology landscape, ensuring every asset, configuration item, and service relationship is discoverable, traceable, and optimized for automation and AI consumption.

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

Pursue progress, discover extraordinary

Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.

At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.

Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com !

Pursue progress , discover extraordinary

Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.

At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.

Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com !

Job details

Seniority
Not listed
Function
Data & Digital
Therapeutic area
Not listed
Location
Hyderabad, India
Employment type
Full time

How this role compares

Computed from every other active Data & Digital role in our database, not just this employer's listings.

We currently track 251 comparable Data & Digital roles across 45 biopharma companies.

251Comparable roles tracked
232Currently active
45Companies hiring similar roles
22Countries represented

Salary context

72 of 251 peers report a salary range (USD, annualized)

Peers share this role's job function. This posting doesn't list a seniority level, so peers aren't narrowed by seniority either -- the range below may span more levels than usual.

This roleSubject Not listed on this posting
Lowest disclosed · IT AI/ML Data Engineering Specialist · Gilead Sciences, Inc. $94,690/yr – $122,540/yr
Peer group range $108,615 – $339,950 (median $202,000)

Where these roles are based

Top locations among the 251 comparable roles

United States89
India80
Spain15
France15
United Kingdom13
Germany6

+ 16 more countries

Seniority mix

142 of 251 peers have a known seniority level

Senior41
Manager29
Associate Director21
Director16
Principal12
Executive/VP9
Intern/Fellow/Postdoc6
Senior Director5
Associate3

Therapeutic area mix

4 of 251 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden

Immunology3
Ophthalmology1

Similar opportunities

The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.

40%similar
Amgen Technology Pvt Ltd. Hyderabad, India
Same function Same country
40%similar
Regeneron India Private Limited Hyderabad, India Senior Director
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40%similar
Regeneron India Private Limited Hyderabad, India Manager
Same function Same country
40%similar
Regeneron India Private Limited Hyderabad, India
Same function Same country
40%similar
Regeneron India Private Limited Hyderabad, India
Same function Same country
40%similar
Regeneron India Private Limited Hyderabad, India Senior
Same function Same country

Notify me about similar jobs

Get an email when we spot other openings like this one – same job function, comparable seniority, roles you'd actually want to see.

How we calculate "similar"

No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.

Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.

40%
Data Engineer, Translational Data Management, Automation & AI
Amgen Technology Pvt Ltd. · Hyderabad, India · Seniority not listed
Function Therapeutic area Seniority Country
40%
Specialist, Clinical Data Reporting
Regeneron India Private Limited · Hyderabad, India · Seniority not listed
Function Therapeutic area Seniority Country
40%
Data Classification, Standards and Definitions Partner - Job Architecture & Skills
Sanofi Healthcare India Private Limited · Hyderabad, India · Seniority not listed
Function Therapeutic area Seniority Country
40%
Data Engineer
Amgen Technology Pvt Ltd. · Hyderabad, India · Seniority not listed
Function Therapeutic area Seniority Country
Unmatched or unknown dimensions score exactly the same: 0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.