Jobs at Axtria - Ingenious Insights

Lead commercial analytics and AI initiatives for life sciences clients: manage engagements, grow P&L, build capability and teams, deliver AI/GenAI-driven analytics solutions, drive business development and thought leadership, and customize Axtria proprietary analytics to generate measurable commercial outcomes.

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.

Leads omnichannel orchestration strategy for pharmaceutical clients, integrating field and non-personal promotion channels across HCP and patient journeys. Designs AI-powered next-best-action frameworks, trigger logic, KPIs, governance, and compliant CRM and marketing automation execution. Serves as a senior client advisor across commercial, analytics, medical, and technology teams. Also drives business development through solution design, RFI/RFP leadership, pipeline development, account expansion, thought leadership, and partner management.

Lead omnichannel orchestration strategy for pharmaceutical clients, integrating field and non-personal promotion channels across HCP and patient journeys. Design sequencing rules, trigger logic, next-best-action frameworks, and AI-enabled commercial engagement models. Govern cross-functional stakeholders, define performance KPIs, ensure regulatory and privacy compliance, optimize journeys using engagement data, and manage vendor, agency, and platform partnerships. Serve as a trusted advisor on pharma omnichannel best practices, AI, and marketing technology.

Manage analytics consulting projects for Life Sciences clients, delivering marketing, commercial, Real World Data, market mix modeling, and predictive modeling solutions. Responsibilities include developing analysis plans, analyzing healthcare datasets, leading client discussions, presenting recommendations, ensuring quality and timely delivery, and managing team engagement. The role requires strong client-facing consulting skills, knowledge of biopharma commercial analytics, patient analytics, payer and market access concepts, and clear written and verbal communication.

Lead MDM strategy and solution design for Life Sciences clients, encompassing platform selection, architecture, AI-enabled entity resolution, data quality, integrations, governance, and client delivery. Provide technical leadership, presales support, POCs, and mentor junior team members to ensure sustained MDM operations and compliance.

The Client Partner will manage strategic enterprise relationships in Life Sciences, influence analytics and AI transformation, and oversee account growth and P&L.

The role involves leading the Commercial Solutions Global CoE, building AI-powered solutions for pharma, and driving innovation. Responsibilities include creating reusable AI tools, monetizing innovations, and leading a team of experts while staying engaged in client advisory and solution delivery.

Lead consultative engagements in Life Sciences, focusing on sales operations and CRM. Enhance business development and team management across EU markets.

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 Solution Architect will design scalable data architectures for Japan’s pharmaceutical datasets, ensuring compliance and driving data governance initiatives, using tools like Informatica and Databricks.

The Client Partner will manage strategic relationships in Life Sciences, focusing on account growth, commercial strategy, and analytics. They will engage with senior executives, influence growth planning, and oversee delivery quality across Axtria's analytics and AI-driven platforms.

The role focuses on client consulting and delivering commercial excellence in the Life Sciences industry, managing multiple workstreams and stakeholder relationships.

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.