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    Job · 18525433

    Predactica logo

    Sr. Technical Delivery Lead Life Sciences AI & Data

    Predactica · Not specified · onsite · Posted 32d ago

    Not disclosed8–10 yrsfulltimeSourced fromFoundit

    About a minute. You'll make an account on the way through.

    About this role

    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.

    Sourced from foundit

    Skills

    AutomationIntelligent Automationcloud platformsapisvisualization toolsamazon web servicesData AnalyticsLLM-based applicationsData EngineeringPythonSQLMicrosoft AzureGenerative AiArtificial IntelligenceMachine Learning

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