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Novartis

Solution Delivery & Business Technology Enablement (DDIT)

Novartis is hiring a Solution Delivery & Business Technology Enablement (DDIT). Level rates it ; you can apply on Novartis.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
  • Tools and skills the posting cites include OpenAI, Claude and Anthropic.
  • Level classifies it as a lead role.
  • Level lists 864 other open roles at Novartis.

AI in this role

Lead the end-to-end delivery of AI, data, and digital automation initiatives across the APMA region.

OpenAIClaudeAnthropicCopilotDatabricksCodexGenAIAgentic AI
ai-automationai-safetysolution-deliverydata-governancedigital-transformationit-project-management

Job Description Summary

This role is responsible for leading the successful delivery of AI, Data, Digital, Automation, and Enterprise Technology initiatives across Japan and APMA.
As a key member of the DDIT Business Partner organization, the role translates business priorities into scalable technology solutions and ensures successful execution from concept to deployment, adoption, and value realization. Working closely with Business Partners, Product Teams, Architects, Engineers, Data & AI teams, and external vendors, the incumbent drives digital transformation while ensuring alignment with Novartis architecture, security, compliance, and governance standards.


Job Description

Key Responsibilities

Solution Delivery Leadership (40%)

  • Lead end-to-end delivery of AI, Data, Digital, Automation, and Enterprise Technology initiatives.
  • Own delivery outcomes including scope, quality, timeline, risks, dependencies, and stakeholder satisfaction.
  • Coordinate cross-functional teams across Product, Architecture, Engineering, Security, Operations, and Vendor organizations.
  • Ensure successful deployment, adoption, transition to support, and business value realization.
  • Drive delivery excellence and continuous improvement.

AI, Data & Digital Transformation (25%)

  • Lead implementation of AI, GenAI, Agentic AI, Analytics, and Automation solutions.
  • Identify opportunities to improve productivity, decision intelligence, customer engagement, and operational efficiency.
  • Drive PoCs, MVPs, and scaled solution deployments.
  • Promote responsible AI adoption and governance.
  • Accelerate digital transformation across Japan and APMA.

Business Partnership & Demand Shaping (15%)

  • Partner with business stakeholders to understand strategic priorities and capability gaps.
  • Translate business needs into technology roadmaps and delivery plans.
  • Support investment prioritization and business case development.
  • Act as a trusted technology advisor.

Data & Analytics Enablement (10%)

  • Deliver analytics, reporting, dashboarding, and AI-driven insights solutions.
  • Support enterprise data platform adoption and reusable data products.
  • Ensure data governance, security, and privacy compliance.

Stakeholder Management & Change Leadership (10%)

  • Influence stakeholders across Country, Regional, and Global organizations.
  • Lead communication, training, adoption, and change initiatives.
  • Foster collaboration across business and technology organizations.

Leadership Responsibilities

  • Lead virtual and matrixed delivery teams across multiple geographies.
  • Mentor business analysts and solution delivery professionals.
  • Coordinate external vendors and strategic partners.
  • Champion AI-first, data-driven, and customer-centric ways of working.
  • Contribute to capability development within the DDIT Japan & APMA organization.

Technical Expertise

AI & Automation

  • Microsoft Copilot
  • Microsoft Copilot Studio
  • Anthropic Claude
  • OpenAI GPT Models
  • OpenAI Codex
  • GitHub Copilot
  • Dify
  • Azure AI Services / AI Foundry
  • Agentic AI Frameworks
  • Intelligent Automation Platforms

Data & Analytics

  • Snowflake
  • Databricks
  • Power BI
  • SQL
  • Data Products
  • Data Governance

Delivery Platforms

  • Azure DevOps
  • GitHub
  • Jira
  • Confluence
  • Agile Delivery
  • CI/CD Practices

Enterprise Platforms

  • SAP
  • Salesforce
  • ServiceNow
  • Microsoft 365
  • Azure Cloud Platform

Success Measures

  • Successful delivery of AI, Data, Digital, and Technology initiatives.
  • Achievement of business value and measurable outcomes.
  • Stakeholder satisfaction and adoption rates.
  • Process efficiency and automation benefits realized.
  • Growth of AI and analytics adoption across Japan and APMA.
  • Alignment between business strategy and DDIT execution.

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Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture

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Commitment to Diversity and Inclusion: Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.

Accessibility and accommodation: Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to midcareer- r.japan@novartis.com and let us know the nature of your request and your contact information. Please include the job requisition number in your message.


Skills Desired

Budget Management, Business Acumen, Influencing Skills, Project Management, Risk Management, Service Delivery Management, Strategic Planning

How we rate this

Solution Delivery & Business Technology Enablement (DDIT) at Novartis rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI AutomationAI SafetySolution DeliveryData GovernanceDigital TransformationIt Project ManagementOpenAIClaude

Questions you could be asked

  1. Tell me about a workflow you automated with AI tools, end to end.
  2. How do you think about the risk of an AI system in this kind of role failing silently?
  3. Tell me about a project where solution delivery was part of your work. What did you do?
  4. Tell me about a project where data governance was part of your work. What did you do?
  5. Tell me about a project where digital transformation was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI Automation, AI Safety, Solution Delivery, Data Governance, and Digital Transformation. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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