Portfolio Manager - Data, AI & Analytics

NTT
Hyderabad
Workplace: HybridFull timeFunction: Capital Markets, Trading & QuantExperience: 12+ yearsEducation: bachelorsSkills: ["Executive stakeholder management","Data governance","Risk management","Vendor management","Organizational change management"]

Lead and govern a global portfolio of enterprise Data, AI, and Analytics initiatives for a Life Sciences organization. Own portfolio strategy, roadmaps, investment priorities, budgets, KPIs, and value realization, while tracking risks, dependencies, and delivery milestones. Drive end-to-end delivery of data modernization, analytics modernization, and AI solutions—coordinating business and cross-functional teams, vendors, and partners to ensure scalable, secure, and compliant outcomes (GxP and FDA 21 CFR Part 11).

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FursaFursa
NTT
NTT
1 week ago

Portfolio Manager - Data, AI & Analytics

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Job Summary

Lead and govern a global portfolio of enterprise Data, AI, and Analytics initiatives for a Life Sciences organization. Own portfolio strategy, roadmaps, investment priorities, budgets, KPIs, and value realization, while tracking risks, dependencies, and delivery milestones. Drive end-to-end delivery of data modernization, analytics modernization, and AI solutions—coordinating business and cross-functional teams, vendors, and partners to ensure scalable, secure, and compliant outcomes (GxP and FDA 21 CFR Part 11).
Location: Hyderabad
Workplace: Hybrid
Employment Type: Full time
Job Function: Capital Markets, Trading & Quant
Seniority: Mid level

Key Responsibilities

  • •Lead and govern an enterprise portfolio of Data, AI, and Analytics initiatives across business units and global regions.
  • •Define portfolio strategy, digital roadmap, investment priorities, budgets, and resource allocation aligned to business objectives.
  • •Manage multiple concurrent enterprise programs for data platforms, AI solutions, analytics modernization, and intelligent automation.
  • •Drive Data, AI, and analytics transformation including data modernization, advanced analytics, business intelligence, generative AI, intelligent automation, and self-service analytics.
  • •Ensure governance and compliance with Life Sciences requirements (GxP, FDA 21 CFR Part 11, EU Annex 11, ALCOA+, CSA) and oversee financial/vendor management.

Key Requirements

  • •Bachelor’s degree in Computer Science, IT, Engineering, Data Science, Business Analytics, or related; Master’s 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 leading enterprise data modernization and AI transformation initiatives.
  • •5+ years of experience in Life Sciences (Pharmaceuticals, Biotechnology, Medical Devices).
Experience:12+ yearsLife sciencesPharmaceutical industryBiotechnologyMedical devicesDigital transformationAI
Education:Bachelor's
Skills:Executive stakeholder managementData governanceRisk managementVendor managementOrganizational change management
Certifications:PMPPgMPPMI Portfolio Management Professional (PfMP)Microsoft Certified: Azure AI Engineer AssociateMicrosoft Certified: Azure Solutions Architect ExpertDatabricks Certified ProfessionalAWS Certified Solutions ArchitectSAFe AgilistSAFe Program Consultant (SPC)ITIL FoundationLean Six Sigma Green BeltLean Six Sigma Black Belt
Tech Stack:Azure Data PlatformMicrosoft FabricAzure AI ServicesAzure OpenAIAWS Data & AI ServicesDatabricksSnowflakeAzure Synapse AnalyticsAzure Data FactoryMicrosoft Power BITableauSQLPythonApache SparkPySparkAzure AI SearchLangChainVector DatabasesMicrosoft PurviewInformatica MDM

Company Brief

NTT
Dimension Data, operating under NTT Ltd, provides managed IT services, cloud and data center solutions, networking, cybersecurity, and digital transformation services to enterprise customers worldwide.
Industry: Professional Services
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Valuation: Public Company (Market Cap in USD)
Headquarters: London, United Kingdom
Founded: 1983
WebsiteLinkedIn