Portfolio Manager - Data, AI & Analytics

NTT DATA BUSINESS SOLUTIONS

Hyderabad

Hybrid

INR 3,500,000 - 7,000,000

Full time

14 days+

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Job summary

NTT DATA BUSINESS SOLUTIONS is seeking a seasoned Portfolio Manager for Data, AI Analytics in Hyderabad. This role leads a global portfolio spanning Data, AI/ML, and analytics initiatives within the Life Sciences sector, coordinating with RD, Manufacturing, Quality, and IT to deliver scalable, compliant digital solutions.

Ideal candidate brings 12+ years in IT and digital transformation, with 5+ years managing enterprise portfolios focused on Data and AI, and strong stakeholder management across

Qualifications

Bachelor's degree in a relevant field.
12+ years of IT and Digital Transformation experience.
5+ years managing enterprise portfolios or large-scale programs.
5+ years leading Data, AI, and Analytics initiatives.
5+ years in Life Sciences industry.

Responsibilities

Lead and govern a portfolio of 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, risks, and delivery milestones.
Oversee end-to-end delivery including strategy, architecture, and operations.
Drive organizational change management and user adoption for Data AI solutions.

Skills

Portfolio management

Executive stakeholders

Data strategy

Data platforms

Data governance

Data quality

AI transformation

Vendor management

Education

Bachelor's degree

Master's degree preferred

Tools

Azure Data Platform

Azure Synapse

Databricks

Power BI

SQL

Python

Job description

Job Summary

We are currently seeking a Portfolio Manager - Data, AI Analytics to join our team in Hyderabad, Telangana, India.

Role Overview

Portfolio Manager Data, AI Analytics (Life Sciences)

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 (RD), 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

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.

Business Stakeholder Management

Partner with RD, 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