Live opening · Posted 10 days ago

Sr. Technical Delivery Lead – Life Sciences AI & Data

Predactica™ · India (Remote)
Linkedin No
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At a glance

The key details from the original listing.

Posted 10 days ago
CompanyPredactica™
LocationIndia (Remote)
Work modeNo
SourceLinkedin
Listed10 days ago

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About the role

Description supplied by the original job listing.

Position Summary
Predactica is seeking a Senior Technical Delivery Lead to manage an India-based team delivering AI, generative AI, data, analytics, and automation solutions for a global life-sciences client.
This is not a traditional project coordinator role. The person must combine delivery ownership, AI and data technical knowledge, life-sciences domain experience, and strong client communication. You will translate business priorities into realistic plans, ensure commitments are met, identify risks early, and present solutions to business and R&D stakeholders.
Key Responsibilities
Own delivery plans, estimates, milestones, dependencies, and commitments.
Translate AI and analytics use cases into clear technical requirements and acceptance criteria.
Coordinate engineers and technical leads across AI, data, analytics, and automation workstreams.
Review proposed technical approaches and challenge unrealistic estimates.
Track execution and resolve risks before they affect delivery.
Ensure appropriate testing, documentation, security, and production readiness.
Prepare and lead AI solution demonstrations for business and R&D stakeholders.
Explain solution value, workflow impact, limitations, model behavior, and human oversight in clear business language.
Provide concise updates on progress, risks, and decisions required.
Reduce the client manager’s involvement in day-to-day team coordination.
Required Qualifications
8+ years delivering enterprise software, data, analytics, or AI solutions.
3+ years leading distributed technical delivery teams.
Hands-on or delivery leadership experience with machine learning, generative AI, LLM-based applications, or intelligent automation.
Understanding of AI solution development, evaluation, testing, deployment, monitoring, and responsible use.
Experience with Python, SQL, data engineering, APIs, cloud platforms, and analytics or visualization tools.
Experience with AWS or Microsoft Azure.
Experience in pharmaceuticals, biotechnology, life sciences, clinical research, or another regulated industry.
Understanding of life-sciences R&D processes, stakeholders, or data environments.
Ability to validate technical plans, estimates, dependencies, and risks.
Experience presenting technical demonstrations to business stakeholders.
Strong written and verbal communication skills.
Availability for regular meetings with US-based stakeholders.
Preferred Qualifications
Experience delivering AI or advanced analytics solutions in pharmaceutical or biotechnology R&D.
Familiarity with AI governance, data privacy, validation, auditability, security, and human-in-the-loop controls.
Experience with Agile delivery methods and Jira or Azure DevOps.
PMP, Scrum, or Agile certification is helpful but not required.
About Predactica
Predactica helps enterprises operationalize AI, advanced analytics, and data solutions. Our teams build AI-ready data foundations, integrate solutions into business workflows, and take enterprise applications from pilot to production.

Work arrangement
No

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