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 Portfolio Manager - Data, AI & Analytics to join our team in Hyderabad, Telangana (IN-TG), India (IN).
Job Title - Portfolio Manager – Data, AI & Analytics
Experience: 12+ Years Location: Remote/Hybrid (Travel as Required)
Project Overview
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.
Key Responsibilities
Portfolio Management
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.
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Monitor portfolio health, financial performance, risks, dependencies, and delivery milestones.
Drive prioritization of AI and analytics initiatives based on business value and strategic alignment.
Program & Project Leadership
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.
Data, AI & Analytics Transformation
- Lead enterprise initiatives involving:
Data Modernization
Enterprise Data Platforms
Data Lakes and Lakehouses
Data Warehousing
Advanced Analytics
Business Intelligence
Artificial Intelligence (AI)
Machine Learning (ML)
Generative AI
Intelligent Automation
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.
Business & Stakeholder Management
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.
Data Governance & Compliance
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.
Financial & Vendor 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).
Required Qualifications
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.
Required Technical & Functional Expertise
Portfolio & Program Management
Enterprise Data Strategy
Data & AI Transformation
Artificial Intelligence (AI)
Machine Learning (ML)
Generative AI
Advanced Analytics
Business Intelligence
Data Engineering
Enterprise Data Platforms
Data Governance
Data Quality
Cloud Data Platforms
Executive Stakeholder Management
Vendor & Financial Management
Risk & Governance
Preferred Technical Experience
Experience with one or more of the following technologies and platforms:
Azure Data Platform
Microsoft Fabric
Azure AI Services
Azure OpenAI
AWS Data & AI Services
Databricks
Snowflake
Azure Synapse Analytics
Azure Data Factory
Microsoft Power BI
Tableau
- SQL
Python
Apache Spark / PySpark
Azure AI Search
LangChain
Vector Databases
Microsoft Purview
Informatica MDM
Collibra
MLflow
Langfuse
Preferred Certifications
PMP or PgMP
PMI Portfolio Management Professional (PfMP)
Microsoft Certified: Azure AI Engineer Associate
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
Key Skills
Portfolio Management
Program Management
Data Strategy
Data Platforms
Data Engineering
Artificial Intelligence (AI)
Machine Learning (ML)
Generative AI
Analytics
Business Intelligence
Microsoft Fabric
Databricks
Snowflake
Azure Data Platform
Azure AI
Azure OpenAI
Power BI
Python
- SQL
Cloud Data Platforms
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
Vendor Management
Budget & Financial Management
Digital Transformation
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.
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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