Role Overview:

We are seeking a Lead Implementation Consultant AI Application Implementation to drive the successful deployment of AI-based enterprise applications across global pharmaceutical clients.

This role requires a strong blend of technical depth, architectural thinking, client facing capability, and cross-functional leadership. The candidate will lead implementation programs, translate business requirements into scalable technical designs, and ensure high-quality, compliant deployments.

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 optimization frameworks.

- Ensure best practices in Python development, SQL optimization, 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.

3. Multi-Team Collaboration:

- 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:

1. Computer System Validation (CSV)

2. 21 CFR Part 11 compliance

3. GxP environment

4. 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 optimization).

- Strong understanding of AI/ML fundamentals.

- Good Understanding on Data Engineering and analytics.

- Experience working with enterprise-scale datasets.

Behavioral & Leadership Competencies:

- Strong client communication skills.

- 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.