Associate Director AI & Data (1278)
Berkeley Heights, NJ - USA
Job Summary
Position Overview
As an Associate Director in Axtrias 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 Axtrias AI & Data growth strategy.
Key Responsibilities
Client 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 Axtrias 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 Axtrias 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 Axtrias visibility in AI & Data for life sciences.
What Youll 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
- Bachelors degree in computer science Engineering Analytics Information Systems or a related field.
- MBA Masters degree or PhD preferred.
- Relevant cloud analytics or AI certifications are a plus.
Required Experience:
Director
About Company
Driving better health outcomes for life sciences and pharma with AI-driven data management, analytics, commercial strategy and omnichannel experience