Req ID: 380554 

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Technical Product Owner - AI & Digital Solutions (CDMO) to join our team in Bangalore, Karnātaka (IN-KA), India (IN).

Job Title - Technical Product Owner – AI & Digital Solutions (CDMO)

Department - Digital Technology / Pharmaceutical Services Group (PSG)

Position Summary

We are looking for an experienced Technical Product Owner – AI & Digital Solutions (CDMO) to lead the identification, prioritization, and delivery of AI-enabled digital products across our global Contract Development and Manufacturing Organization (CDMO) network.

This role combines deep expertise in pharmaceutical manufacturing, GxP regulatory compliance, AI-driven digital transformation, product ownership, and business consulting to accelerate enterprise-wide innovation. The successful candidate will serve as the strategic bridge between manufacturing sites, business domain experts, the Pharmaceutical Services Group (PSG), Digital Technology, Data Science, and Engineering teams.

The Technical Product Owner will identify high-value AI opportunities, define product vision and roadmaps, prioritize business requirements, and ensure the delivery of scalable, compliant, and business-centric digital solutions that improve manufacturing efficiency, product quality, compliance, and customer outcomes.

Key Responsibilities

Product Strategy & AI Opportunity Identification

• Partner with global manufacturing sites, business leaders, and functional stakeholders to identify, evaluate, and prioritize AI and digital transformation opportunities.

• Facilitate discovery workshops to understand operational challenges, business pain points, and strategic objectives.

• Translate business requirements into AI-enabled product initiatives and scalable digital capabilities.

• Evaluate AI use cases based on business value, operational impact, compliance requirements, technical feasibility, and implementation complexity.

• Develop compelling business cases to support investment decisions for AI and digital initiatives.

Product Ownership & Delivery

• Define and own product vision, roadmap, backlog, and release priorities.

• Manage the product lifecycle from ideation through deployment and continuous improvement.

• Collaborate closely with Digital Technology, Data Science, Engineering, and PSG teams to deliver enterprise-scale AI solutions.

• Prioritize features based on business value while balancing technical constraints and regulatory requirements.

• Ensure timely delivery using Agile methodologies, Scrum practices, and iterative product development.

Manufacturing & Business Consulting

• Act as a trusted advisor to manufacturing operations by understanding business processes and identifying opportunities for digital optimization.

• Engage stakeholders across:

  • Drug Substance Manufacturing

  • Drug Product Manufacturing

  • Biologics

  • Cell & Gene Therapy

  • Fill-Finish Operations

  • Manufacturing Operations

  • Quality Assurance & Quality Control

  • Supply Chain & Planning

• Drive process harmonization and promote reusable AI capabilities across multiple manufacturing sites.

Regulatory Compliance & Digital Governance

• Ensure AI-enabled products comply with pharmaceutical regulatory requirements, including:

  • Good Manufacturing Practices (GMP)

  • GxP Regulations

  • GAMP 5

  • 21 CFR Part 11

  • EU Annex 11

  • ALCOA+ Data Integrity Principles

  • Computer System Validation (CSV)

  • Computer Software Assurance (CSA)

• Collaborate with Quality, Validation, and Compliance teams to ensure compliant solution design and deployment.

• Support risk assessments, validation documentation, and regulatory inspections where required.

Technology & Digital Enablement

• Collaborate with enterprise architecture and technology teams to design scalable AI solutions.

• Leverage modern technologies including:

  • Artificial Intelligence (AI)

  • Generative AI

  • Agentic AI

  • Machine Learning

  • Cloud Platforms

  • APIs

  • Enterprise Data Platforms

  • Manufacturing Data Ecosystems

• Integrate AI solutions with enterprise manufacturing platforms such as:

  • Manufacturing Execution Systems (MES)

  • Laboratory Information Management Systems (LIMS)

  • Quality Management Systems (QMS)

  • SAP ERP

  • Electronic Batch Records (EBR)

  • Manufacturing Historians and Data Platforms

Stakeholder Engagement & Change Management

• Build strong relationships with manufacturing leadership, business stakeholders, and technology teams.

• Define measurable success metrics and key performance indicators for digital products.

• Lead stakeholder communication, product demonstrations, and adoption initiatives.

• Support organizational change management to maximize user adoption and business value realization.

• Influence senior leaders and drive consensus across cross-functional teams.

Required Qualifications

• Bachelor's degree in Engineering, Life Sciences, Computer Science, Pharmaceutical Sciences, or a related discipline. Advanced degree preferred.

• Minimum 10 years of experience in pharmaceutical, biotechnology, or CDMO manufacturing.

• Proven experience as one or more of the following:

  • Technical Product Owner

  • Digital Transformation Lead

  • Manufacturing Consultant

  • Product Manager

  • AI Program Lead

  • Digital Manufacturing Leader

• Deep expertise across pharmaceutical manufacturing operations, including:

  • Drug Substance

  • Drug Product

  • Biologics

  • Cell & Gene Therapy

  • Fill-Finish

  • Manufacturing Operations

  • Quality

  • Supply Chain

• Strong understanding of regulated manufacturing environments and GxP compliance.

Technical Skills

Pharmaceutical & Manufacturing

• Manufacturing Execution Systems (MES)

• Laboratory Information Management Systems (LIMS)

• Quality Management Systems (QMS)

• SAP ERP

• Electronic Batch Records (EBR)

• Manufacturing Data Platforms

• Digital Manufacturing Ecosystems

Regulatory & Compliance

• GMP

• GxP

• GAMP 5

• 21 CFR Part 11

• EU Annex 11

• ALCOA+

• Computer System Validation (CSV)

• Computer Software Assurance (CSA)

AI & Digital Technologies

• Artificial Intelligence (AI)

• Generative AI

• Agentic AI

• Machine Learning

• Predictive Analytics

• Cloud Platforms

• APIs

• Data Engineering

• Enterprise Architecture

• Digital Product Management

Product & Delivery

• Agile

• Scrum

• Product Roadmaps

• Product Backlog Management

• Business Case Development

• User Story Definition

• Value Prioritization

• Release Planning

Leadership & Professional Skills

• Exceptional stakeholder management and executive communication skills.

• Strong facilitation and business consulting capabilities.

• Ability to translate manufacturing challenges into scalable AI solutions.

• Strategic thinking with strong analytical and problem-solving skills.

• Cross-functional leadership across business and technology organizations.

• Ability to influence senior stakeholders without direct authority.

• Excellent change management and organizational transformation capabilities.

Preferred Experience

• Experience leading enterprise AI, analytics, automation, or digital manufacturing programs within regulated life sciences environments.

• Experience delivering AI solutions across global pharmaceutical manufacturing networks.

• Exposure to cloud-native enterprise architectures and modern AI platforms.

• Experience working with multidisciplinary engineering, data science, and product teams.

• Demonstrated success driving enterprise digital transformation initiatives.

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

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