Jobs at Axtria - Ingenious Insights

Provides onsite desktop, systems, network, and infrastructure support. Responsibilities include troubleshooting hardware and software, administering Windows environments, Active Directory, Office 365, cloud servers, and networks; monitoring performance; provisioning devices; supporting users and deployments; coordinating vendors; documenting resolutions and infrastructure; managing assets; and implementing network security measures.

Lead commercial analytics and AI/GenAI initiatives for life sciences clients: drive delivery, P&L growth, business development, capability building, team leadership, and deployment of Axtria analytics to solve forecasting, marketing, and commercial strategy problems.

The Client Partner will build and expand strategic relationships, influence commercial strategies, and drive growth in analytics, AI, and cloud platforms in the Life Sciences sector.

Lead global teams to deliver end-to-end data engineering and analytics programs for life sciences clients. Manage project planning, stakeholder engagement, requirements, implementation, testing, and delivery of pharma commercial and real-world data solutions, mentor teams, and support GenAI and analytics adoption to generate business insights.

Embed inside pharma clients to architect, build, and deploy production-grade AI systems (multi-agent, RAG, MLOps) on client infrastructure. Lead technical workstreams, manage senior stakeholder relationships, ensure compliance with pharma governance (HIPAA, GDPR, FDA), mentor junior engineers, and contribute reusable deployment patterns and accelerators.

Embed inside pharma clients to design, build, and deploy production AI systems end-to-end. Lead engineering teams, architect multi-agent and RAG-based solutions, ensure observability, security, and regulatory compliance, translate pharma domain needs into technical solutions, and contribute reusable patterns and mentor junior engineers.

Lead client relationships and account strategy for life sciences clients; craft go-to-market solutions, drive revenue forecasts, advocate client success, and support new business development and proposals.

The Principal Advanced Analytics leads client relationships in pharma commercial analytics, driving delivery excellence and transformation toward AI-driven decision support. Responsibilities include account management, executive relationship building, and practice contribution, with a focus on revenue growth and strategic decision-making.

Design and deliver GenAI and Agentic AI solutions for pharma clients, involving data pipelines, AI models, and client-specific integrations across cloud platforms.

Lead and manage global teams delivering commercial analytics and technology initiatives for Life Sciences, while driving projects related to field force design and sales effectiveness.

Lead BI strategy and modernization for pharma clients: advise executives, design BI architectures and semantic models, drive AI-enabled analytics adoption, deliver demos and presales support, mentor delivery teams, and produce reusable consulting assets to shift clients from dashboards to decision intelligence.

The Claude Code Architect designs and develops agent-based systems using Claude Code, oversees AI-native platforms, and mentors junior engineers while ensuring compliance and performance metrics are met for pharmaceutical clients.

The Client Partner will grow strategic Life Sciences accounts, drive analytics and AI initiatives, and lead account strategy and P&L management.

The Project Leader/Manager will oversee AI & Data projects in Life Sciences, managing teams and delivering data solutions, while enhancing data science capabilities for clients.

As an AI Engineer, you will design and deploy GenAI and Agentic AI solutions, building pipelines and systems across multiple client-specific platforms while engaging with pharma clients in Japan.

The Business Analyst will engage with senior stakeholders to translate business needs into GenAI use cases, document requirements, and support AI solution rollouts while managing onsite and offshore teams.

The role involves leading AI and advanced analytics initiatives in life sciences, managing client relationships and P&L, developing strategies for growth, and contributing to the team's thought leadership while enhancing analytical models and solutions.

Lead a digital analytics team to collect, process, and analyze cross-channel marketing data. Build KPI dashboards, identify trends and optimization opportunities, maintain tracking systems, collaborate on testing and campaign measurement, and translate insights into actionable recommendations to improve campaign performance and business outcomes.

Lead analytics consulting engagements for Life Sciences clients delivering commercial, marketing, RWD, market-mix, and predictive modeling solutions. Manage projects, develop analysis plans, lead client discussions/readouts, ensure quality and timely delivery, and mentor teams. Apply domain knowledge of datasets (LAAD, XPO, NPA, Promotional), payer/market access, and strong verbal/written communication.

The Client Partner will manage strategic relationships with Life Sciences companies, focusing on commercial strategies, P&L management, and driving growth in analytics, AI, and cloud platforms.