Hiring Solutions Architect - Bengaluru, Hyderabad, India

Only for registered members Bengaluru, Hyderabad, India

2 days ago

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Dear Candidate · Cognizant is hiring for Solutions Architect Life sciences I have attached the JD below. Please let me know if you are interested to discuss more about the job opportunity · Kindly click the link below and fill in all your details below. · Job Description · Role: ...
Job description

Dear Candidate

Cognizant is hiring for Solutions Architect Life sciences I have attached the JD below. Please let me know if you are interested to discuss more about the job opportunity

Kindly click the link below and fill in all your details below.

Job Description

Role: Solution Architect / Bid Proposal Writing Expert Clinical Domain

Function: Business Development / Pre-Sales / Clinical Solutions

Experience: 10 To 20 years

Location: Hybrid / Global Delivery Model

Employment Type: Full-time

Role Overview

We are looking for a Clinical Solution Architect and Bid Proposal Writing Expert to lead end-to-end RFP/RFI/RFQ responses across Clinical Data Management, Clinical Trial Management, and AI-enabled transformation initiatives.

This role combines:

  • Deep clinical operations and data expertise
  • Strong solution architecture and pre-sales capability
  • Exceptional proposal strategy and persuasive writing

The individual will design scalable, compliant, and technology-enabled clinical solutions and translate them into winning, high-quality proposals.

Key Responsibilities

  1. Clinical RFP / RFI / RFQ Leadership

  2. Own the complete bid lifecycle from qualification to submission.

  3. Analyze clinical, technical, regulatory, and operational requirements.
  4. Define win themes, differentiators, and transformation value propositions.
  5. Ensure full compliance, accuracy, and on-time submission.
  6. Coordinate SMEs across Clinical Operations, Data Management, Biostatistics, Safety, Regulatory, Digital, and AI teams.

  7. Clinical Solution Architecture

  8. Design end-to-end delivery models for:

  9. Clinical Data Management (EDC, data review, reconciliation, coding, standards).

  10. Trial Management (CTMS, monitoring models, RBQM, decentralized trials).
  11. AI-enabled transformation (automation, predictive analytics, GenAI copilots, intelligent document processing).

  12. Define target operating models, workflows, integration architecture, and governance.

  13. Ensure alignment with GxP, data privacy, quality, and inspection readiness.
  14. Provide effort estimation, resource model, pricing inputs, and timelines.

  15. Proposal Strategy & Writing

  16. Develop executive summaries, clinical methodologies, transition approaches, and innovation roadmaps.

  17. Convert complex clinical and AI solutions into clear business value.
  18. Tailor messaging for sponsors, biotech, procurement, and clinical leadership.
  19. Maintain clinical proposal content libraries, accelerators, and reusable assets.
  20. Apply structured storytelling and visual solution articulation.

  21. AI & Digital Transformation in Clinical Trials

  22. Shape proposals involving:

  23. AI-assisted data review and medical coding

  24. Predictive trial analytics and risk-based monitoring
  25. Automation of TMF, safety, and document workflows
  26. Generative AI for clinical study support

  27. Define governance, validation, and responsible AI usage in GxP environments.

  28. Stakeholder Engagement & Governance

  29. Lead bid strategy workshops, reviews, and approval gates.

  30. Partner with Sales, Delivery, Finance, and Legal for cohesive submissions.
  31. Present solution architecture and value proposition to leadership and clients.
  32. Support capture planning and pursuit shaping for strategic deals.

  33. Continuous Improvement & Win Optimization

  34. Track win/loss insights, evaluator feedback, and pricing competitiveness.

  35. Improve clinical proposal frameworks, automation, and AI-assisted authoring.
  36. Contribute to standardized offerings, transformation accelerators, and reusable architectures.

Required Qualifications

Education

  • Bachelors or Masters in Life Sciences, Pharmacy, Biomedical Engineering, Health Informatics, or related field.
  • MBA or relevant certification is a plus.

Experience

  • 1018+ years in clinical research, clinical technology, pre-sales, or solution architecture.
  • Demonstrated success in winning complex clinical RFPs for CROs, sponsors, or clinical technology providers.
  • Strong exposure to Clinical Data Management, CTMS, RBQM, DCT, and AI in clinical trials.
  • Experience working in global, cross-functional bid environments.

Core Skills

  • Deep understanding of end-to-end clinical trial lifecycle.
  • Strong solution design, operating model definition, and pricing support.
  • Exceptional proposal writing, storytelling, and executive communication.
  • Knowledge of GxP, ICH, data integrity, and regulatory expectations.
  • Ability to manage multiple concurrent strategic bids under tight timelines.

Preferred Skills

  • Experience with eClinical platforms, data standards, and clinical analytics ecosystems.
  • Familiarity with AI/ML, GenAI, automation, and digital transformation in regulated environments.
  • Exposure to risk-based monitoring, decentralized trials, and real-world data integration.
  • Bid or proposal management certifications.

Success Metrics

  • RFP win rate and deal value contribution
  • Proposal quality, compliance, and innovation scoring
  • On-time submission and governance adherence
  • Stakeholder and client solution credibility feedback
  • Reusable clinical solution assets and accelerators created


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