About the Company

Viscadia is a premier global forecasting firm that empowers the life sciences industry with clarity and confidence. Our team of specialists builds custom forecasting solutions, conducts targeted market research, and provides comprehensive cycle support to optimize decision-making.

Since our founding in 2010, we've assembled industry-leading experts with decades of experience, establishing Viscadia as a trusted partner to many of the largest global life sciences companies. Our excellence has been recognized by both our industry through prestigious awards including Best in Business, Power Partners, Vault and Great Place to Work certification.

Our success is built on core values of Resilience (working effectively as a team), Innovation (continuously improving customer experience), Shared Success (recognizing collective achievement), and Excellence (embedding servant leadership throughout our organization).

Role Overview

We are seeking an experienced Consultant to join our India team in Gurgaon. This role is a critical execution and solutioning leadership position within our forecasting platform initiative. The individual will lead the design and delivery of data- and AI-enabled solutions, working closely with Managers and senior leadership while directly guiding team of developers, and engineers.

The individual will serve as the technical and delivery lead on defined workstreams, translating business and forecasting requirements into scalable, high-quality data and analytics solutions for our clients. The role requires strong hands-on expertise, structured problem-solving, and the ability to mentor junior team members while maintaining high delivery standards.

Key Responsibilities

Solution Design & Execution

We are seeking an experienced Consultant to join our India team in Gurgaon. This role is a critical execution and solutioning leadership position within our forecasting platform initiative. The individual will lead the design and delivery of data- and AI-enabled solutions, working closely with Managers and senior leadership while directly guiding team of developers, and engineers. The individual will serve as the technical and delivery lead on defined workstreams, translating business and forecasting requirements into scalable, high-quality data and analytics solutions for our clients. The role requires strong hands-on expertise, structured problem-solving, and the ability to mentor junior team members while maintaining high delivery standards.

Design, build, and deploy full-stack web applications across Viscadia's forecasting and analytics platforms, owning frontend, backend, APIs, databases, and cloud delivery.
Develop responsive, performant frontends using React/Next.js and TypeScript, with strong attention to UX, accessibility, and component reusability.
Build scalable backend services and APIs (REST/GraphQL) using Node.js or Python, including authentication, business logic, and third-party integrations.
Design and optimize relational and analytical data models (PostgreSQL, Snowflake), and integrate ETL outputs into product-facing features.
Deploy and operate solutions on AWS or Azure using Docker, CI/CD pipelines, and infrastructure-as code. • Translate client and business requirements into technical designs, API contracts, data models, and sprint-ready implementation plans.
Develop POCs and pilots for new product capabilities, including dashboards, in-app workflows, and AI-enabled features.
Lead end-to-end execution of assigned modules — from requirements through design, build, testing, deployment, and handover.
Enforce engineering standards across performance, security, observability, and code quality.

Team Management

Lead and mentor cross-functional teams comprising frontend developers, backend engineers, data engineers, and senior developers.
Provide day-to-day technical and product guidance, ensuring alignment on architecture, coding standards, and delivery expectations.
Review designs, implementations, and outputs to ensure accuracy, scalability, performance, and adherence to best practices.
Train and upskill junior and senior team members on platform patterns, tools, and delivery standards.
Own delivery timelines and dependencies for assigned workstreams, proactively identifying and mitigating risks.

Client Management

Act as a primary execution-level client contact for assigned modules, clearly communicating progress, risks, and technical decisions.
Work closely with Managers to align solution delivery with broader engagement objectives and client expectations.
Support requirement discussions and solution walkthroughs with client stakeholders, ensuring clarity and alignment.

Innovation and Intellectual Capital

Contribute to the development of internal accelerators, reusable components, and best practices for the forecasting platform.
Support innovation initiatives by researching emerging tools, techniques, and AI applications relevant to pharma analytics.
Research, evaluate, and prototype emerging tools, platforms, and AI techniques relevant to pharma analytics and forecasting.
Help document solution patterns, technical standards, and learnings to build firm-wide intellectual capital.

Skills

Must Have

5–8 years of experience in full-stack software development, platform engineering, or technology consulting, preferably within pharma, healthcare, or data-intensive enterprise environments.
Bachelor's or Master's degree in Engineering, Computer Science, Information Technology, Data Science, or a related field; advanced degree preferred.
Strong hands-on expertise across full-stack application development, including:
Modern frontend frameworks such as React, Angular, or Vue.js o Backend development using Node.js, Python, Java, or similar technologies
API development, microservices, and system integration
Database design and optimization across SQL and NoSQL ecosystems
Strong experience building scalable, cloud-native applications using AWS, Azure, and/or Snowflake based ecosystems.
Proven experience developing and deploying enterprise-grade applications with strong focus on performance, security, scalability, and maintainability.
Experience with data engineering concepts, ETL/ELT pipelines, and integration of analytics or reporting capabilities into applications and platforms.
Solid understanding of enterprise software engineering best practices, including: System design and architecture/ CI/CD pipelines and DevOps practices / Version control and code-review processes /Testing, monitoring, and release management

Nice to Have

Experience owning or contributing to AI-enabled features, including automation, intelligent data validation, forecasting accelerators, or decision-support solutions.
Experience building or leading BI, dashboards, and reporting solutions for business or commercial analytics.
Exposure to AI/ML concepts and applied analytics in forecasting, commercial, or decision-support use cases.

Consultant- Technology