Portfolio Manager - Data, AI & Analytics
NTT DATA, Inc.
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Job summary
NTT DATA is seeking a seasoned Portfolio Manager - Data, AI & Analytics to lead a global portfolio from Hyderabad. You will drive enterprise-wide data and AI transformation, align initiatives with business strategy, and collaborate with Data Science, IT, and business leaders to deliver scalable, compliant digital solutions.
The role requires extensive experience in Data/AI modernization, governance, and program management across Life Sciences contexts.
Qualifications
- Bachelor's degree in Computer Science, IT, Engineering, Data Science or related field.
- Master's degree preferred for senior roles.
- 12+ years of IT and Digital Transformation experience.
- 5+ years managing enterprise portfolios or large-scale Data/AI programs.
- 5+ years leading data modernization and AI transformation in Life Sciences.
- 5+ years experience managing executive stakeholders, global delivery teams, vendors, and partners.
Responsibilities
- Lead a portfolio of enterprise Data, AI, and Analytics initiatives across global regions.
- Define portfolio strategy, roadmap, budgets, and resource allocation.
- Establish governance, dashboards, KPIs, and value realization metrics.
- Monitor portfolio health, financials, risks, dependencies, and milestones.
- Drive prioritization of AI/Analytics initiatives based on business value.
- Oversee end-to-end delivery including strategy, architecture, and deployment.
- Coordinate cross-functional teams, stakeholders, vendors, and partners.
- Manage risks, budgets, schedules, and executive communications.
Skills
Education
Tools
Job description
We are currently seeking a Portfolio Manager - Data, AI & Analytics to join our team in Hyderabad, Telangana (IN-TG), India (IN).
Experience: 12+ Years
Location: Remote/Hybrid (Travel as Required)
We are seeking an experienced Portfolio Manager to lead a portfolio of strategic Data, Artificial Intelligence (AI), Machine Learning (ML), and Analytics initiatives within a global Life Sciences organization. This role is responsible for driving enterprise-wide data and AI transformation programs that enable advanced analytics, intelligent automation, predictive insights, and AI-powered decision-making across Research & Development (R&D), Manufacturing, Quality, Supply Chain, Commercial, and Corporate functions.
The ideal candidate will possess extensive experience managing enterprise Data & AI portfolios, delivering large-scale analytics platforms, AI/ML solutions, and cloud-based data ecosystems in highly regulated Life Sciences environments. This role requires close collaboration with business leaders, Data Science, IT, Digital, Enterprise Architecture, Cybersecurity, and external implementation partners to deliver scalable, secure, and compliant digital solutions.
- Lead and govern a portfolio of enterprise Data, AI, and Analytics initiatives across multiple business units and global regions.
- Define portfolio strategy, digital roadmap, investment priorities, budgets, and resource allocation aligned with business objectives.
- Establish portfolio governance, executive dashboards, KPIs, and value realization metrics.
- Monitor portfolio health, financial performance, risks, dependencies, and delivery milestones.
- Drive prioritization of AI and analytics initiatives based on business value and strategic alignment.
- Manage multiple concurrent enterprise programs involving data platforms, AI solutions, analytics modernization, and intelligent automation.
- Oversee end-to-end delivery including strategy, architecture, implementation, testing, deployment, adoption, and operational transition.
- Coordinate cross-functional delivery teams, business stakeholders, vendors, and implementation partners.
- Manage program risks, dependencies, budgets, schedules, and executive communications.
- Lead enterprise initiatives involving:
- Data Modernization
- Data Lakes and Lakehouses
- Data Warehousing
- Advanced Analytics
- Artificial Intelligence (AI)
- Generative AI
- Predictive Analytics
- Self-Service Analytics
- Drive enterprise AI adoption, governance, and responsible AI practices.
- Support modernization of enterprise reporting, dashboards, and analytics capabilities.
- Promote data-driven decision-making and enterprise-wide analytics adoption.
- Partner with R&D, Manufacturing, Quality, Supply Chain, Commercial, Finance, Regulatory Affairs, and IT leadership.
- Collaborate with Data Scientists, AI Engineers, Data Engineers, Architects, and Product Owners to prioritize and deliver strategic initiatives.
- Facilitate executive steering committee meetings and portfolio governance reviews.
- Drive organizational change management and user adoption for Data & AI solutions.
- Ensure enterprise data platforms and AI solutions comply with Life Sciences regulatory and governance requirements, including:
- GxP
- FDA 21 CFR Part 11
- EU Annex 11
- ALCOA+ Data Integrity Principles
- Computer Software Assurance (CSA)
- Data Privacy and Security standards
- Responsible AI and AI Governance frameworks
- Establish governance for enterprise data quality, metadata management, master data, and AI lifecycle management.
- Manage portfolio budgets, forecasts, resource planning, and financial reporting.
- Oversee relationships with cloud providers, software vendors, consulting partners, and implementation teams.
- Manage contracts, Statements of Work (SOWs), vendor performance, and service-level commitments.
- Track portfolio benefits, business outcomes, operational improvements, and return on investment (ROI).
- Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, Business Analytics, or a related discipline.
- Master's degree is preferred.
- 12+ years of overall IT and Digital Transformation experience.
- 5+ years managing enterprise portfolios or large-scale programs focused on Data, AI, and Analytics.
- 5+ years of proven experience leading enterprise data modernization and AI transformation initiatives.
- 5+ years of strong experience within the Pharmaceutical, Biotechnology, Medical Devices, or broader Life Sciences industry.
- 5+ years of demonstrated experience managing executive stakeholders, global delivery teams, vendors, and implementation partners.
- Enterprise Data Strategy
- Data & AI Transformation
- Artificial Intelligence (AI)
- Generative AI
- Advanced Analytics
- Data Governance
- Data Quality
- Executive Stakeholder Management
Experience with one or more of the following technologies and platforms:
- Microsoft Fabric
- AWS Data & AI Services
- Databricks
- Snowflake
- Microsoft Power BI
- Tableau
- SQL
- Python
- LangChain
- Vector Databases
- Microsoft Purview
- Collibra
- MLflow
- Langfuse
- PMP or PgMP
- Microsoft Certified: Azure Solutions Architect Expert
- Databricks Certified Professional
- AWS Certified Solutions Architect
- SAFe Agilist or SAFe Program Consultant (SPC)
- ITIL Foundation
- Lean Six Sigma Green Belt or Black Belt
- Program Management
- Data Platforms
- Artificial Intelligence (AI)
- Generative AI
- Analytics
- Microsoft Fabric
- Databricks
- Snowflake
- Power BI
- Python
- SQL
- Data Governance
- Data Quality
- AI Governance
- Life Sciences
- Pharmaceutical Industry
- Biotechnology
- Medical Devices
- GxP
- FDA 21 CFR Part 11
- EU Annex 11
- ALCOA+
- Computer Software Assurance (CSA)
- Executive Stakeholder Management
- Budget & Financial Management
- Digital Transformation
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.
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here . If you'd like more information on your EEO rights under the law, please click here . For Pay Transparency information, please click here .
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