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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Associate Director/Director - BI Consulting... - **Company:** Axtria, Inc. - **Location:** Berkeley Heights, NJ, United States - **Experience:** Expert - **Salary:** $131,200.0 - $174,975.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Business Analytics Applications, Data Analysis, Audit Trail, Business Intelligence Development, Cloud Engineering, Information Engineering, Data Visualization, Graph Database, Performance Tuning, Power BI, Tableau (Software), Enterprise Data Management, Generative AI, Data Layers, Data Lineage, Data Analytics, Cloud Migration - **Published:** August 7, 2026 - **Apply:** https://www.juju.com/job/00000000gm14m6 ## About the Role + 12-15 years of experience in BI, analytics consulting, data visualization, enterprise reporting, solution advisory, or analytics transformation. + Strong hands-on or architecture-level expertise across the platforms listed in Core Platforms above (minimum two, preferably Power BI and Tableau), plus working knowledge of modern cloud and lakehouse / warehouse architectures. + Strong understanding of BI architecture: semantic layers, data modeling, dashboard performance, governance, row-level security, KPI frameworks, data lineage, and self-service analytics. + Strong pharma / life sciences domain experience in Commercial and/or Medical Affairs analytics. + Proven ability to lead executive presentations, client workshops, demos, and strategic advisory discussions, converting technical content into business value narratives for senior stakeholders. + Awareness of AI-enabled analytics capabilities including Power BI Copilot, Tableau Pulse / Agent, ThoughtSpot AI, natural-language querying, Gen BI, Agentic BI, and knowledge graph / semantic-layer approaches. + Excellent written and verbal communication, stakeholder management, facilitation, and consultative problem-solving skills. Preferred Qualifications + Prior consulting experience with US-based pharma, biotech, or life sciences clients. + Experience in pre-sales, solution shaping, RFP/RFI response development, account expansion, or GTM support. + Experience building or presenting demos related to executive dashboards, HCP 360, field insights, brand performance, market access, medical insights, or Gen BI / AI-assisted analytics. + Experience with dashboard rationalization, BI platform migration, cloud modernization, KPI standardization, or BI operating model design. + Certifications in one or more of the core platforms listed above are preferred. + Familiarity with pharma data sources such as CRM, claims, sales, call activity, HCP / HCO master, formulary, market access, omnichannel, patient services, medical insights, or syndicated data., The ideal candidate is a senior, client-facing BI leader who can walk into a pharma client conversation and confidently discuss business problems, BI platforms, AI-enabled analytics trends, demo concepts, solution trade-offs, and value realization. This person should be equally comfortable presenting to executives, whiteboarding solution approaches with architects, guiding delivery teams, and shaping a modern BI vision that moves clients from dashboards to decisions. ## Description 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, UX designers, data engineers, and AI specialists. + Review solution designs, dashboard concepts, demo flows, data models, and executive presentations for clarity, business relevance, and technical soundness. + Contribute to reusable consulting playbooks, solution patterns, discovery frameworks, KPI libraries, demo repositories, and client-ready accelerators. + Mentor team members on executive communication, solution storytelling, pharma context, and client advisory skills., + Client Impact: Quality of client relationships, stakeholder confidence, repeat conversations, and expansion opportunities. + Presales Contribution: Contribution to demos, proposals, POCs, RFPs/RFIs, qualified pipeline, and deal conversion. + Solution Quality: Strength of recommended BI architectures, modernization roadmaps, governance models, and AI-readiness approaches. + Executive Communication: Ability to simplify complex BI and AI topics into concise, persuasive, leadership-ready narratives. + Thought Leadership: Development of market-relevant perspectives on Gen BI, Agentic BI, semantic layers, decision intelligence, and pharma analytics transformation. + Practice Enablement: Reusable assets, demo stories, playbooks, frameworks, and mentoring contributions that scale the BI CoE's impact. ## Related Videos - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [AI PowerPlay: Building High-Impact Teams & Transformative Solutions](https://www.wearedevelopers.com/videos/1005-ai-powerplay-building-high-impact-teams-transformative-solutions) - [Resilient by Design: Building Robust Architectures in High-Stakes Financial Systems](https://www.wearedevelopers.com/videos/2106-resilient-by-design-building-robust-architectures-in-high-stakes-financial-systems) - [Why Your AI Agent Keeps Hallucinating Your Data: Building Deterministic Context Layers](https://www.wearedevelopers.com/videos/2055-why-your-ai-agent-keeps-hallucinating-your-data-building-deterministic-context-layers) - [REST, GraphQL, gRPC, and more: A comparison of modern API styles](https://www.wearedevelopers.com/videos/100247-rest-graphql-grpc-and-more-a-comparison-of-modern-api-styles) - [No Keys for the Robot: GitOps as the Control Plane for Autonomous Agents](https://www.wearedevelopers.com/videos/100095-no-keys-for-the-robot-gitops-as-the-control-plane-for-autonomous-agents) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Best Companies to Work For in Berlin: Top 14 Companies in 2023 ](https://www.wearedevelopers.com/magazine/188-best-companies-to-work-for-in-berlin-top-14-companies-in-2023) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)