We are seeking an experienced Engineering Delivery Lead to drive the successful execution of large-scale data and technology programs. identifying and solving complex business and delivery challenges, owning the data and operational and program leadership while working closely with engineering, product, and Partner with pharma clients to translate domain-specific business problems into data and analytics solutions, leveraging consulting experience to drive adoption and measurable outcomes. Apply deep knowledge of pharma functional areas (Commercial, Medical Affairs, R&D;, Regulatory, Supply Chain, Market Access) to contextualize delivery challenges and ensure solutions align with industry-specific workflows and compliance requirements. Lead the identification and definition of complex business challenges, whether they arise from delivery challenges (resource bottlenecks, technical obstacles) or customer-side issues (usability, satisfaction).

Track progress and continually optimize workflows to enhance productivity and performance. Actively manage relationships with key stakeholders, including development teams, designers, marketing, sales, customer support, and leadership. Articulate complex business problems, product strategies, and program progress to both technical and non-technical stakeholders in a clear, concise, and compelling manner.

Proactively seek opportunities to improve the Program and processes, drawing from customer feedback, performance metrics, and lessons learned. Drive ongoing optimization efforts to enhance program performance and user experience.

Required Skills and Experience: ~10–14 years of overall work experience, with 7+ years in Program and Project Management and 8+ years of experience working within the pharmaceutical industry across multiple functional areas (e.g., Commercial, R&D;, Regulatory, Medical Affairs, Supply Chain, or Market Access)



~8+ years of hands-on pharma industry experience spanning at least two functional areas, with a strong understanding of domain-specific data, processes, and regulatory context (e.g., GxP, 21 CFR Part 11, GDPR in clinical settings). ~ Pharma consulting experience — either at a consultancy or in an internal strategic/advisory role — is strongly preferred;

experience engaging with pharma clients on data and analytics programs is a plus ~ Proficiency in using tools such as JIRA to manage tasks, track progress, and report on project status. ~ Strong understanding of SQL for querying databases and analyzing data. ~ Familiarity with the technical aspects of data product development and building scalable enterprise data warehouse systems, including architecture and cloud infrastructure, to effectively communicate with development teams. ~ Experience in managing and executing large programs; ability to act as an Agile coach to teams and customers. ~ Experience in managing multiple teams and scaling them. ~ Ability to identify and analyse complex business challenges (technical, operational, or client-related) and break them into smaller, manageable problems, support proposal creation and pre-sales activities. ~ Experience in creating and maintaining data and product roadmaps, adjusting them based on changing priorities, feedback, and unforeseen challenges (risk and change management, risk mitigation). ~ Excellent communication skills, with the ability to clearly articulate complex concepts to both technical and non-technical stakeholders. ~ Operational leadership experience in overseeing the execution of operational processes and improving workflows for maximum efficiency. Support diversity and appreciate different perspectives. Positioned as a Leader in Top Generative AI Service Providers – PeMa Quadrant 2023 by AIMResearch.

Recognized among India's Best Workplaces™ for Diversity, Equity, Inclusion & Belonging 2023 by Excellent Place To Work® India.

📌 Engineering Maintenance Lead Facilities (Bengaluru)
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📍 Bengaluru