Associate Principal/Principal - Commercial Analytics & AI Integration

PharmaACE is a growing Global Healthcare Consulting Firm, headquartered in Princeton, New Jersey. Our expert teams of Business Analysts, based across the US, Canada, Europe, and India, provide Analytics and Business Solutions using our worldwide delivery models for a wide range of clients. Our clients include established, multinational BioPharma leaders and innovators, as well as entrepreneurial firms on the cutting edge of science. We have deep expertise in Forecasting, Business Analytics, Competitive Intelligence, Sales Analytics, and the Analytics Centre of Excellence Model. Our wealth of therapeutic area experience cuts across Oncology, Immuno- science, CNS, CV-Met, and Rare Diseases. We support our clients' needs in Primary Care, Specialty Care, and Hospital business units, and we have managed portfolios in the Biologics space, Branded Pharmaceuticals, Generics, APIs, Diagnostics, and Packaging & Delivery Systems.

Role Summary:

This is a client-facing leadership role responsible for managing strategic relationships, designing and delivering advanced analytics and AI/GenAI solutions, and driving measurable impact across global life sciences organizations.

The ideal candidate will blend deep pharma domain knowledge, modern AI/ML expertise, and strong consulting acumen to shape and deliver differentiated solutions to commercial and brand teams at top pharmaceutical and biotech companies.

Key Responsibilities:

Client Engagement & Advisory (40%):

• Act as a strategic advisor to brand, commercial, and analytics leaders in global pharma clients.
• Lead consultative discussions on AI/analytics roadmaps, omnichannel strategy, forecasting, and performance management.
• Present insights, influence stakeholders, and translate analytics into compelling narratives that drive decisions.

AI-Enhanced Analytics Delivery (30%):

• Oversee delivery of AI-enabled solutions across domains like:
• Dynamic segmentation & targeting
• Next-best-action engines
• Predictive HCP behavior models
• LLM-based insight generation (GenAI)
• Brand performance diagnostics
• Ensure robust quality, timeliness, and strategic relevance of deliverables.

Team & Capability Development (20%):

• Lead and grow a high-performing team of consultants, data scientists, and domain experts.
• Define and scale reusable AI/GenAI assets, frameworks, and accelerators.
• Partner with internal technology, data, and innovation teams to align on platform evolution.

Practice Growth & Innovation (10%):

• Contribute to RFPs, proposals, and solutioning for new business opportunities.
• Develop PoVs, whitepapers, and use cases to position the firm as a leader in commercial AI/GenAI.
• Continuously scan the market for new pharma AI applications, platforms, and data partnerships.

Required Qualifications:

• Master’s degree or higher in Data Science, Life Sciences, Business Analytics, or related field.
• 10–15 years of experience in commercial pharma analytics, including at least 3–5 years in a client-facing vendor/consulting role.
• Strong understanding of commercial pharma data: IQVIA (NRx/TRx), patient claims, CRM, HCP engagement, formulary/market access data.
• Experience delivering AI/ML/GenAI-driven solutions in real-world commercial use cases.
• Proven ability to engage with senior pharma stakeholders (Directors, VPs, GMs) and lead large programs.

Preferred Skills:

• Familiarity with GenAI tools: OpenAI APIs, Claude, LLM summarization tools, Insight copilots.
• Experience with tools like Python/R, SQL, Tableau/Power BI, Databricks/Snowflake.
• Hands-on understanding of pharma GTM processes (launch excellence, sales ops, brand planning).

Core Competencies:

• Strategic thinking and business storytelling
• Strong client presence and relationship building
• AI fluency – ability to evangelize and translate tech to value
• Project management and operational excellence
• Thought leadership and innovation mindset