Program Manager - Engagement; SAS - LifeScience
Listed on 2026-01-12
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IT/Tech
Business Systems/ Tech Analyst, Data Science Manager, Data Analyst, Data Security
Program Manager - Engagement (SAS - Life Science)
Location:
Jersey City, NJ (Onsite)
Type: FTE
Compensation: $150K - $170K + Benefits
Experience Level: 12+ years
$/yr - $/yr
Job DescriptionWe are seeking a seasoned Engagement Partner to lead one of our strategic client relationships in the Commercial Pharma (Life Sciences) space. This is a high‑impact, client‑facing role based out of Jersey City, NJ focused on enabling digital transformation, delivery excellence, and business innovation across the commercial pharma value chain.
The Engagement Partner will own the end‑to‑end client engagement, delivery governance, and account growth strategy. You will manage globally distributed teams working in a Managed Services model across onshore, nearshore, and offshore locations. The ideal candidate has deep experience in pharma commercial operations, data and analytics, and emerging technologies such as Generative AI.
- Life Science, Pharma, Bio Tech or Clinical experience is mandatory.
- Single point of accountability for the client relationship, focusing on delivery excellence, value realization, and client satisfaction.
- Build deep relationships with VP and C‑level stakeholders across Commercial, IT, Data, and Analytics functions.
- Understand client’s commercial pharma landscape – brand performance, field force effectiveness, marketing analytics, patient engagement, and market access – and craft tailored delivery strategies.
- Run Quarterly Business Reviews, Steering Committee Meetings, and executive workshops to align with client priorities and KPIs.
- Govern all delivery programs spanning commercial sales, CRM, HCP targeting, omnichannel enablement, sales force operations, real‑world data analytics, and regulatory data compliance.
- Drive delivery excellence through best practices in quality, reliability, and predictability. Set up and manage SLAs, KPIs, and continuous improvement initiatives.
- Lead data platform modernization efforts (e.g., Snowflake, Databricks, AWS/Azure) and ensure robust delivery pipelines for data ingestion, transformation, and insight generation.
- Manage a Managed Services model: resource planning, service transitions, cost optimization, innovation infusion, and business continuity.
- Partner with the Client Partner and Sales Teams to uncover new opportunities for growth within the account.
- Proactively identify areas for upsell/cross‑sell across new LOBs, geographies, or data‑driven initiatives.
- Contribute to solutioning and proposal development for client RFPs, SOWs, and new initiatives.
- Build strategic roadmaps in collaboration with client stakeholders to guide long‑term innovation and transformation.
- Manage large‑scale delivery teams distributed across onshore (USA), nearshore (LATAM), Europe, and offshore (India/Asia) locations.
- Drive performance, productivity, and employee engagement across teams; lead coaching and mentoring initiatives.
- Ensure resource alignment, training, and domain enablement of delivery teams for pharma‑specific use cases and compliance needs (GxP, HIPAA).
- Lead exploration and implementation of Generative AI solutions for commercial use cases such as intelligent HCP engagement recommendations, personalized content generation, medical and marketing summarizations, next‑best‑action models, and collaboration on PoCs, pilots, and scaled rollouts of AI‑driven platforms and tools.
- Understand and provide oversight on engagement‑level functions including budgeting, forecasting, and margin optimization.
- Understand program‑level commercial levers.
- Bachelor’s degree in Engineering, Life Sciences, Business, or a related field (Master’s or MBA preferred).
- 15+ years of IT consulting/services with a focus on Life Sciences, especially Commercial Pharma.
- Minimum 10 years of client‑facing delivery leadership with large‑scale engagements (200+ team members).
- Deep understanding of pharma commercial operations, including HCP segmentation and targeting, sales force effectiveness and CRM (e.g., Veeva), omnichannel marketing and campaign analytics, patient journey and market…
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