Career Opportunities: Associate Director (10575)
Position Summary
The Director – Data & AI Delivery will lead end-to-end delivery of complex data, analytics, and AI/GenAI programs for global pharmaceutical clients. This role requires strong technical leadership, deep understanding of pharma data ecosystems, and proven experience in delivering scalable data platforms, digital solutions, and AI-driven products.
Job Responsibilities
Lead multi-disciplinary delivery teams across Data Engineering, AI/ML, MLOps, Product Engineering, Cloud, QA, and DevOps to deliver enterprise-grade pharma data products and AI solutions.
Drive planning, estimation, roadmapping, risk management, and execution of large-scale programs using Agile/Scaled Agile practices.
Ensure on-time, on-budget, and quality delivery for all engagements, with clear KPIs and governance dashboards.
Manage BAU operations, SLAs, and incident/problem management for live data products and AI platforms.
Engage with senior pharma stakeholders across R&D, Commercial, Medical, and Digital/Data functions to translate business needs into technical solutions.
Build trusted relationships, influence decision-making, and provide thought leadership on Data & AI modernization.
Education
Work Experience
15–20 years of experience in technology delivery, with at least 8+ years in leading large data/AI programs.
Strong experience delivering data platforms, AI/ML solutions, GenAI/LLM-based applications, or analytics systems for pharma or life sciences clients.
Hands-on understanding of pharma datasets such as Sales & Marketing, Patient Data, Clinical Data, MDM, and Omnichannel data.
Proven track record managing multi-million-dollar programs and multi-shore delivery teams.
Experience with cloud platforms -Azure, data engineering (Databricks, PySpark), ML engineering, API development, and enterprise integration patterns.
Experience with Agile/SAFe, product-based delivery models, and engineering governance.
Behavioural Competencies
Technical Competencies
Skills
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Position Summary
The Director – Data & AI Delivery will lead end-to-end delivery of complex data, analytics, and AI/GenAI programs for global pharmaceutical clients. This role requires strong technical leadership, deep understanding of pharma data ecosystems, and proven experience in delivering scalable data platforms, digital solutions, and AI-driven products.
Job Responsibilities
Lead multi-disciplinary delivery teams across Data Engineering, AI/ML, MLOps, Product Engineering, Cloud, QA, and DevOps to deliver enterprise-grade pharma data products and AI solutions.
Drive planning, estimation, roadmapping, risk management, and execution of large-scale programs using Agile/Scaled Agile practices.
Ensure on-time, on-budget, and quality delivery for all engagements, with clear KPIs and governance dashboards.
Manage BAU operations, SLAs, and incident/problem management for live data products and AI platforms.
Engage with senior pharma stakeholders across R&D, Commercial, Medical, and Digital/Data functions to translate business needs into technical solutions.
Build trusted relationships, influence decision-making, and provide thought leadership on Data & AI modernization.
Education
Work Experience
15–20 years of experience in technology delivery, with at least 8+ years in leading large data/AI programs.
Strong experience delivering data platforms, AI/ML solutions, GenAI/LLM-based applications, or analytics systems for pharma or life sciences clients.
Hands-on understanding of pharma datasets such as Sales & Marketing, Patient Data, Clinical Data, MDM, and Omnichannel data.
Proven track record managing multi-million-dollar programs and multi-shore delivery teams.
Experience with cloud platforms -Azure, data engineering (Databricks, PySpark), ML engineering, API development, and enterprise integration patterns.
Experience with Agile/SAFe, product-based delivery models, and engineering governance.
Behavioural Competencies
Technical Competencies
Skills
-
- The job has been sent to
Position Summary
The Director – Data & AI Delivery will lead end-to-end delivery of complex data, analytics, and AI/GenAI programs for global pharmaceutical clients. This role requires strong technical leadership, deep understanding of pharma data ecosystems, and proven experience in delivering scalable data platforms, digital solutions, and AI-driven products.
Job Responsibilities
Lead multi-disciplinary delivery teams across Data Engineering, AI/ML, MLOps, Product Engineering, Cloud, QA, and DevOps to deliver enterprise-grade pharma data products and AI solutions.
Drive planning, estimation, roadmapping, risk management, and execution of large-scale programs using Agile/Scaled Agile practices.
Ensure on-time, on-budget, and quality delivery for all engagements, with clear KPIs and governance dashboards.
Manage BAU operations, SLAs, and incident/problem management for live data products and AI platforms.
Engage with senior pharma stakeholders across R&D, Commercial, Medical, and Digital/Data functions to translate business needs into technical solutions.
Build trusted relationships, influence decision-making, and provide thought leadership on Data & AI modernization.
Education
Work Experience
15–20 years of experience in technology delivery, with at least 8+ years in leading large data/AI programs.
Strong experience delivering data platforms, AI/ML solutions, GenAI/LLM-based applications, or analytics systems for pharma or life sciences clients.
Hands-on understanding of pharma datasets such as Sales & Marketing, Patient Data, Clinical Data, MDM, and Omnichannel data.
Proven track record managing multi-million-dollar programs and multi-shore delivery teams.
Experience with cloud platforms -Azure, data engineering (Databricks, PySpark), ML engineering, API development, and enterprise integration patterns.
Experience with Agile/SAFe, product-based delivery models, and engineering governance.