Director - BI Practice (1286)

Introduction

Axtria is a leading global provider of cloud software and data analytics to the Life Sciences industry. We help Life Sciences companies transform the product commercialization journey to drive sales growth and improve healthcare outcomes for patients. We are acutely aware that our work impacts millions of patients and lead passionately to improve their lives.

Since our founding in 2010, innovation has been our winning differentiation, and we continue to leapfrog competition with platforms that deploy Artificial Intelligence and Machine Learning. Our cloud-based platforms - Axtria DataMax™, Axtria InsightsIQ™, Axtria SalesIQ™, and Axtria MarketingIQ™ - enable clients to efficiently manage data, leverage data science to deliver insights for sales and marketing planning, and manage end-to-end commercial operations. We work with over 100 Life Sciences companies, many with multiple engagements globally across 75+ countries. We continue to win industry recognition for growth and are featured in some of the most aspirational lists - INC 5000, Deloitte FAST 500TM, NJBiz FAST 50, SmartCEO Future 50, Red Herring 100, and several other growth and technology awards.

Axtria is looking for exceptional talent to join our rapidly growing global team. People are our biggest perk! Axtria is recognized for its organizational culture in both US and India, including certification by the Great Place to Work® Institute. Our transparent and collaborative culture offers a chance to work with some of the brightest minds in the industry. Axtria Institute, our in-house university, offers the best training in the industry and an opportunity to learn in a structured environment. A customized career progression plan ensures every Axtrian is setup for success and able to do meaningful work in a fun environment. We want our legacy to be the leaders we produce for the industry. Will you be next?

Role Overview

BI and AI capabilities are evolving quickly, so this role requires staying ahead of the curve - Gen BI, Agentic BI, semantic layers, natural-language analytics, AI copilots, embedded analytics, and decision intelligence - and translating those trends into real client value, not just tracking them from the sidelines. We are seeking a US-based Senior BI Consultant who can operate as a trusted advisor to pharma and life sciences clients, helping them modernize BI landscapes, shape executive-ready analytics strategies, and translate complex data ecosystems into clear business decisions. The ideal candidate combines deep BI platform experience, pharma commercial and/or medical domain fluency, and executive presence to bring these trends to life through compelling client conversations and demos.

Key Responsibilities

1. Client Advisory & Executive Engagement

• Lead strategic conversations with CIO, CDO, Commercial Operations, Medical Affairs, Sales Operations, Insights & Analytics, and business leadership stakeholders.
• Translate business priorities into BI transformation roadmaps, platform strategies, operating models, and analytics adoption plans.
• Communicate technical concepts in concise, executive-friendly language with clear linkage to business outcomes, adoption, speed-to-insight, and ROI.
• Facilitate discovery workshops, solution design sessions, executive readouts, and client decision forums.

2. BI Strategy, Modernization & Architecture

• Advise clients on modern BI architecture across their platform ecosystem (see Core Platforms above).
• Guide dashboard rationalization, semantic model design, KPI standardization, governance, security, performance optimization, and self-service enablement.
• Lead modernization conversations from legacy BI and static reporting toward governed, AI-ready, decision-centric analytics environments.
• Partner with delivery teams to ensure proposed solutions are technically feasible, scalable, compliant, and aligned to enterprise data strategy.

3. Pharma Commercial & Medical Domain Thought Leadership

• Bring strong working knowledge of pharma commercial analytics, including brand performance, field force effectiveness, HCP / HCO engagement, market access, omnichannel, patient services, sales operations, and launch analytics.
• Bring exposure to Medical Affairs analytics such as MSL insights, KOL engagement, scientific intelligence, congress analytics, medical content performance, and medical‑commercial governance boundaries.
• Shape analytics narratives that reflect regulated‑industry expectations, including privacy, consent, MLR awareness, auditability, data lineage, and governance-by-design.
• Use domain context to make demos and presentations relevant to pharma leaders, not generic BI audiences.

4. Demos, Presales & Value Storytelling

• Create and present compelling demos, POVs, POCs, solution walkthroughs, capability decks, and executive narratives tailored to client maturity and business priorities.
• Support RFPs, RFIs, proposals, account expansion motions, and pursuit discussions with differentiated BI and AI-enabled analytics messaging.
• Convert technical features into value stories around business impact, user adoption, decision velocity, operating efficiency, and reduced analytics friction.
• Lead conversations on how BI tools fit into evolving client environments, including coexistence with enterprise data platforms, cloud modernization, CRM, MDM, omnichannel, and AI ecosystems.

5. Gen BI, Agentic BI & Emerging Trends Leadership

• Maintain a strong point of view on evolving BI trends such as Generative BI, Agentic BI, conversational analytics, AI copilots, semantic layers, knowledge graphs, embedded analytics, proactive alerts, and autonomous insight workflows.
• Explain how modern BI is shifting from static dashboards to decision intelligence, with governed AI assisting users in moving from "what happened" to "why it happened" and "what should we do next".
• Guide clients on AI-readiness foundations, including trusted data models, KPI definitions, semantic governance, responsible AI guardrails, and human-in-the-loop validation.
• Partner with product, AI, data engineering, and delivery teams to shape reusable accelerators, demos, and thought leadership assets.

6. Delivery Partnership & Capability Building

• Provide direction to distributed teams of BI architects, consultants, developers, analysts