Senior Technical Project Manager – Data, AI, Analytics and Platform Operations

Reposted Yesterday
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Hiring Remotely in Office, Machaze, Manica, MOZ
Remote
Expert/Leader
Biotech • Pharmaceutical
The Role
Lead planning and delivery of complex AI, data engineering, and analytics platform programs. Manage roadmaps, governance, risks, stakeholder alignment, releases, data quality, model lifecycle, and compliance across cross-functional teams to deliver measurable business outcomes.
Summary Generated by Built In

Job Description Summary

We are seeking a highly capable Technical Project Manager to lead the planning, execution, governance, development, and delivery of complex AI, data engineering, and analytics platforms. The ideal candidate will have experience managing large-scale, cross-functional initiatives involving multiple stakeholders, technologies, vendors, and business units.
This role goes beyond traditional project tracking and reporting. We are looking for a leader who can navigate ambiguity, proactively resolve program challenges, drive execution excellence, and deliver strong business outcomes.
The successful candidate will manage multiple concurrent projects, coordinate diverse teams, mitigate risks, drive stakeholder alignment, and ensure strategic initiatives are delivered on time, within scope, and with measurable impact.
Key Responsibilities
• Manage the design, deployment, and delivery of priority IT solutions aligned to business requirements
• Contribute to effective control of project progress, quality, and budget to meet business objectives
• Ensure all deliverables meet quality and compliance standards, including comprehensive documentation and timely reviews/approvals
• Oversee smooth transition to operations, including planning and execution of all release-related activities
• Ensure clear stakeholder alignment and effectively operate within a matrix organization


 

Job Description

Location: Hyderabad, 3 days' work from office at Novartis, Hyderabad is mandatory

Key responsibilities: 

  • Define program scope, roadmap, milestones, and success metrics for AI and data initiatives.
  • Lead end-to-end delivery, ensuring timelines, quality, and outcomes are met.
  • Manage governance routines, risks, dependencies, and overall program health.
  • Partner with product managers, engineers, data scientists, analysts, and business stakeholders.
  • Drive clarity across teams, ensuring alignment and removing execution barriers.
  • Translate business problems into structured technical program plans.
  • Oversee initiatives involving data pipelines, ML models, analytics tools, and AI capabilities.
  • Ensure data readiness, consistent data quality, and smooth model lifecycle processes.
  • Support responsible AI principles, privacy standards, and compliance requirements.
  • Identify risks early, develop mitigation strategies, and ensure proactive problem resolution.
  • Manage scope changes and evaluate impact on timelines, resources, and dependencies.
  • Maintain documentation for program decisions, progress, and deliverables.
  • Provide regular program updates to leadership and key stakeholders.
  • Present risks, insights, and recommendations in a clear and structured manner.
  • Build strong relationships across business and technical teams.

Essential Requirements: 

  • 10+ years in program or project management within technology, AI, or data-driven environments.
  • Proven experience managing AI/ML, data platform, or analytics initiatives end-to-end.
  • Fair understanding of MLOps, data engineering, and cloud ecosystems (AWS, Azure).
  • Exceptional communication, problem-solving, stakeholder management, and organizational skills.
  • Working in Agile/Scrum environments with tools like Jira and Confluence.
  • Prior experience with healthcare and life science is plus

Desirable Requirements:  

  • Bachelor’s/Masters's degree in engineering, computer science, business, or a related field.
  • Certifications such as PMP, Scrum Master, or Program Management credentials.

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/roadmap/people-and-culture 

Commitment to Diversity & Inclusion

Novartis is committed to building an outstanding, inclusive work environment and diverse team’s representative of the patients and communities we serve. 

Values and Behaviors: Demonstrates and upholds Novartis values and behaviors in all aspects of work and collaboration. 


 

Skills Desired

Change Management, Communication, Decision Making, Operational Excellence Projects (Inactive), Problem Solving, Project Finances, Project Management, Project Planning, Project Risk Management, Project Team Management, Stakeholder Engagement

Skills Required

  • 10+ years in program or project management within technology, AI, or data-driven environments
  • Proven experience managing AI/ML, data platform, or analytics initiatives end-to-end
  • Understanding of MLOps, data engineering, and cloud ecosystems (AWS, Azure)
  • Experience working in Agile/Scrum environments using Jira and Confluence
  • Strong communication, stakeholder management, problem-solving, and organizational skills
  • Experience ensuring data readiness, data quality, and model lifecycle processes
  • Prior experience in healthcare and life sciences
  • Bachelor's or Master's degree in engineering, computer science, business, or related field
  • Certifications such as PMP, Scrum Master, or program management credentials

Novartis Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Novartis and has not been reviewed or approved by Novartis.

  • Healthcare Strength Pay and benefits are described as a strong overall package, supported by medical, dental, and vision insurance alongside FSAs/HSAs and disability and life coverage. Mental-health support is reinforced through an employee assistance program with psychological support and a network of mental health first aiders.
  • Retirement Support Retirement support is positioned as a standout element, with an automatic company contribution plus dollar-for-dollar matching in the 401(k). Additional retirement funding is described through an age-based defined contribution program and access to an employee share purchase plan discount.
  • Parental & Family Support Family-related benefits are framed as robust, including a global minimum of paid parental leave for new parents following birth or adoption. Added supports include domestic partner coverage, dependent-care resources, and benefits such as adoption assistance and child/elder care options.

Novartis Insights

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The Company
HQ: Basel
110,000 Employees
Year Founded: 1996

What We Do

Novartis is an innovative medicines company. Every day, working to reimagine medicine to improve and extend people’s lives so that patients, healthcare professionals and societies are empowered in the face of serious disease. Our medicines reach more than 250 million people worldwide.

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