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Implement and configure the company’s AI platform for customers by integrating data assets, defining technical requirements, deploying solutions, and troubleshooting data pipelines. Build automated ETL workflows using Snowflake and AWS, manage recurring customer data deliveries, automate manual implementation processes, and maintain data security and privacy. Collaborate with customers and internal teams while translating technical issues for non-technical stakeholders.

Drives new business growth and strategic account expansion across mid-market and enterprise pharmaceutical organizations. Leads consultative discovery, complex enterprise sales cycles, executive relationship development, solution positioning, proposals, negotiations, and closing. Partners with Product, Solutions Architecture, Marketing, and Implementation teams to deliver value-driven AI and analytics solutions. Maintains pipeline forecasting and CRM discipline while representing customer needs internally.

The Senior Client Director will drive new business acquisition in life sciences by leading complex sales cycles, fostering executive relationships, and collaborating across teams to achieve revenue goals using AI-driven insights.

Lead a specialist GTM pod to advise C-suite clients, design AI-driven commercial strategies, translate client pain into business cases, own segment strategy and post-close outcomes, and feed product/engineering with market intelligence to accelerate time-to-value and revenue.

The Client Director is responsible for business growth and partnerships in the pharma sector, using consultative insights and leading the sales lifecycle. Tasks include client engagement, enterprise sales, solution development, and pipeline management while collaborating across teams to ensure client success and drive revenue growth.

Build and own end-to-end product capabilities across frontend and backend systems. Implement responsive React + TypeScript UIs, design and operate APIs and backend services (Python/TypeScript), deploy and run containerized apps on AWS/Kubernetes, integrate analytical data sources, use observability and CI/CD practices, and collaborate with product, design, and ML teams to ship reliable, incremental features.

Lead end-to-end development of ODAIA's AI-powered commercial intelligence features. Build React/TypeScript frontends, design and operate backend APIs and services, integrate data/ML systems, drive architecture decisions, mentor engineers, and improve testing, observability, and code quality.

Lead FP&A and financial operations: build complex models and KPIs, manage budgeting/forecasting, oversee month-end reporting and external bookkeepers, run year-end audits and investor/Board reporting, own financial tech stack and identify efficiency/AI opportunities, and partner cross-functionally to drive revenue accountability and operational efficiency.

Build and run ODAIA's legal function: draft, negotiate, and close enterprise SaaS, data licensing, MSA and DPA agreements; translate AI governance into internal policy; architect privacy and data-governance across PIPEDA/HIPAA; manage equity, board resolutions, vendor agreements; partner with Sales and Engineering to enable fast, compliant contracting and advise the executive team and Board on legal and risk matters.