Req ID: 384501 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).: Portfolio Manager – Data, AI & Analytics (Life Sciences)

Job Title - Portfolio Manager – Data, AI & Analytics

Experience: 12+ YearsLocation: 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.

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

Protected 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.

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📌 Portfolio Manager - Data, AI & Analytics (Hyderabad)
🏢 NTT DATA Services
📍 Hyderabad