Position OverviewAs an Associate Director in Axtria's AI & Data Practice, you will lead transformational initiatives across data, analytics, AI, and GenAI solutions for our life sciences clients. This role requires a strong balance of client engagement, delivery leadership, solutioning, program management, and team leadership. You will serve as a trusted advisor to senior stakeholders, drive delivery excellence across high-impact engagements, and help shape Axtria's AI & Data growth strategy.
Key ResponsibilitiesClient Engagement & Delivery Leadership- Lead and inspire client engagements, ensuring high-quality delivery of strategic AI, data, and analytics programs across the life sciences domain.
- Act as a trusted advisor to key clients, guiding them through digital, data, and AI transformation initiatives that deliver measurable business value.
- Manage complex client engagements from strategy through execution, ensuring projects are delivered on time, within scope, and with excellence.
- Build and deepen senior-level client relationships to strengthen Axtria's footprint and expand growth opportunities.
- Provide strategic input into solution design and engagement planning based on evolving client priorities and market needs.
AI & Data Leadership- Oversee the end-to-end delivery of scalable AI, data, and analytics solutions aligned with client objectives.
- Provide leadership across modern data platforms, cloud ecosystems, and AI/GenAI capabilities, helping clients adopt the right solutions for their business needs.
- Drive innovation across areas such as data management, business intelligence, advanced analytics, AI/ML, and GenAI use cases within life sciences.
- Partner with internal SMEs and cross-functional teams to bring differentiated AI & Data offerings to clients.
Solutioning & Innovation- Collaborate with Subject Matter Experts and practice leaders to design scalable, business-oriented solutions leveraging AI/ML, GenAI, analytics, and cloud technologies.
- Lead solution development efforts for client opportunities, ensuring technical feasibility, business relevance, and strong value articulation.
- Provide consultative guidance on architecture, implementation strategy, project scoping, and execution planning.
- Support innovation initiatives that strengthen Axtria's capabilities in AI, GenAI, advanced analytics, and enterprise data transformation.
Program Management- Lead large, cross-functional programs across onshore and offshore teams, ensuring strong governance, execution discipline, and stakeholder alignment.
- Establish clear delivery structures, timelines, and risk management practices to ensure seamless program execution.
- Drive accountability across workstreams while maintaining a high standard of communication and delivery rigor.
- Ensure alignment between business objectives, delivery plans, and client expectations throughout the program lifecycle.
Team & Talent Management- Lead and mentor high-performing global teams, fostering a culture of collaboration, accountability, continuous learning, and innovation.
- Manage team performance, talent development, and succession planning to build a strong leadership pipeline within the practice.
- Promote an inclusive and growth-oriented environment that encourages thought leadership and professional development.
- Effectively manage delivery teams across onshore/offshore models, ensuring strong collaboration and optimal resource utilization.
Business Development & Pre-Sales- Play an active role in business development efforts, including shaping proposals, responding to RFPs, and supporting client discussions with tailored AI & Data solutions.
- Lead or support pre-sales initiatives, including solution presentations, capability discussions, and value articulation for prospective clients.
- Partner with sales and practice leadership to identify growth opportunities and convert them into strategic engagements.
- Contribute to thought leadership, market positioning, and practice development efforts to enhance Axtria's visibility in AI & Data for life sciences.
What You'll Bring- Strong leadership experience in AI, data, analytics, and digital transformation, ideally within the life sciences / pharma / healthcare domain.
- Commercial pharma experience is required, with strong understanding of life sciences business processes, commercial data, and analytics use cases.
- Proven success leading large-scale client engagements with responsibility for delivery, stakeholder management, team leadership, and business outcomes.
- Experience managing global delivery teams, including collaboration across onshore and offshore models.
- Demonstrated exposure to AI and GenAI tools/use cases, with the ability to translate emerging capabilities into practical business solutions.
- Strong program management experience across complex, multi-workstream engagements.
- Excellent solutioning and consultative problem-solving capabilities, with the ability to shape client-centric offerings.
- Experience supporting pre-sales, proposals, client presentations, and business development initiatives.
- Strong executive presence, communication skills, and ability to influence senior client and internal stakeholders.
- A strategic mindset with a track record of growing client relationships, expanding account value, and driving delivery excellence.
Preferred Technical & Functional Background- Experience across modern data and analytics ecosystems such as AWS, Azure, Snowflake, and enterprise BI/reporting platforms.
- Familiarity with AI/ML, GenAI, advanced analytics, and data engineering concepts and enterprise use cases.
- Understanding of data architecture, data integration, data warehousing, and scalable analytics solutions.
- Exposure to commercial, medical, or omnichannel data use cases in the life sciences industry is highly preferred.
Qualifications- Bachelor's degree in computer science, Engineering, Analytics, Information Systems, or a related field.
- MBA, Master's degree, or PhD preferred.
- Relevant cloud, analytics, or AI certifications are a plus.
