Lead Implementation Consultant

Mareana

Bengaluru

Hybrid

INR 3,000,000 - 5,500,000

Full time

14 days+
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Job summary

Mareana in Bengaluru seeks a technical leader to drive end-to-end AI‑driven enterprise applications, shaping system design and data models across product, data science, engineering, QA and DevOps.

You will own solution architecture, engage with clients and stakeholders, and ensure compliance with CSV and 21 CFR 11 where relevant, while guiding hybrid teams to deliver high-quality integrations.

Qualifications

  • Experience leading end-to-end AI-driven enterprise implementations.
  • Strong Python development and SQL optimisation skills.
  • Solid understanding of AI/ML fundamentals and data engineering.
  • Ability to manage multiple parallel implementations.
  • Excellent stakeholder management and client-facing skills.
  • Experience with cross-functional collaboration in hybrid environments.
  • Exposure to pharma or life sciences projects is a plus.

Responsibilities

  • Lead end-to-end implementation of AI-driven enterprise applications.
  • Understanding of system design, data models, integration strategy, and performance optimisation frameworks.
  • Ensure best practices in Python development, SQL optimisation, and AI model integration.
  • Lead solution walkthroughs, requirement clarification sessions, and technical discussions.
  • Manage expectation alignment across business, IT, and compliance stakeholders.
  • Provide periodic updates on technical progress, risks, and mitigation plans.
  • Act as the technical interface for clients.
  • Coordinate with Product, Data Science, Engineering, QA, and DevOps teams.
  • Drive planning and implementation tracking.
  • Identify technical risks early and propose mitigation strategies.
  • Ensure seamless integration between internal product teams and client IT teams.
  • Exposure to Pharma Manufacturing processes.
  • Understanding of CSV, 21 CFR Part 11, and related compliance frameworks.

Skills

Python
SQL optimisation
AI/ML fundamentals
Data engineering
Enterprise datasets
Cross-functional work
Documentation & presentation
Stakeholder management
Delivery ownership
Problem-solving mindset

Job description

Key Responsibilities
1 Technical Leadership & Solution Design
  • Lead end-to-end implementation of AI-driven enterprise applications.
  • Understanding of system design, data models, integration strategy, and performance optimisation frameworks.
  • Ensure best practices in Python development, SQL optimisation, and AI model integration.
2 Client Engagement & Stakeholder Management
  • Lead solution walkthroughs, requirement clarification sessions, and technical discussions.
  • Manage expectation alignment across business, IT, and compliance stakeholders.
  • Provide periodic updates on technical progress, risks, and mitigation plans.
  • Act as the technical interface for clients.
  • Coordinate with Product, Data Science, Engineering, QA, and DevOps teams.
  • Drive planning and implementation tracking.
  • Identify technical risks early and propose mitigation strategies.
  • Ensure seamless integration between internal product teams and client IT teams.
4 Compliance & Quality (Nice to Have – Strong Advantage)
  • Exposure to Pharma Manufacturing processes.
  • Understanding of:
    • Computer System Validation (CSV)
    • 21 CFR Part 11 compliance
    • Quality and compliance frameworks
    • Support documentation for validation, audits, and regulatory reviews.
Core Technical Skills
  • Hands‑on expertise in Python
  • Advanced SQL (complex joins, performance tuning, query optimisation)
  • Strong understanding of AI/ML fundamentals
  • Good understanding of data engineering and analytics.
  • Experience working with enterprise‑scale datasets
  • Ability to manage multiple parallel implementations
  • Structured problem‑solving mindset
  • Strong documentation and presentation skills
  • Ownership‑driven with execution focus
  • Ability to work in hybrid cross‑functional environments
Preferred Industry Experience
  • Experience working with pharmaceutical or life sciences clients.
  • Exposure to manufacturing data systems (ERP, MES, LIMS).
  • Understanding of digital transformation programs in regulated industries.
Why Join Mareana?
  • Opportunity to work at the intersection of AI and Pharma Manufacturing
  • Exposure to global enterprise clients
  • High‑impact leadership role with architectural ownership
  • Fast‑growing AI organization with strong domain depth
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