ODAIA

• Own the positioning and go-to-market execution for ODAIA’s Field Intelligence product • Translate AI capabilities into compelling stories that resonate with pharma commercial buyers • Develop and maintain positioning and messaging across target pharma segments and buyer personas • Support go-to-market planning for new Field Intelligence features and releases • Contribute to the onboarding experience for new commercial hires

• Lead and mentor a team of Technical Implementation Specialists, providing guidance and best practices for seamless customer deployments • Oversee customer onboarding and technical implementations, ensuring a smooth transition and system integration • Collaborate with clients and internal teams to define technical requirements and tailor solutions to their needs • Design and optimize ETL workflows, leveraging automation and AI agents to ensure repeatable, high-quality, and cost-efficient recurring data deliveries • Manage integration of customer data into ODAIA’s platform, ensuring accuracy and performance • Oversee data ingestion and pipeline configuration to ensure optimal data readiness for ODAIA's commercial intelligence and AI models. • Utilize modern data tools (e.g., PySpark, Snowflake) to explore, troubleshoot, and resolve issues with ETL and system configuration • Ensure timely and high-quality data deliveries, maintaining data integrity and compliance with industry standards • Analyze team performance data and team output KPIs to identify bottlenecks, improve implementation processes and increase automation • Drive cross-functional collaboration, ensuring alignment between customer success, engineering, and product teams

• Actively participate in epic planning, sprint scoping, and roadmap discussions • Own features end-to-end, from breaking down requirements with product and design through to delivery • Work with the product team to understand product strategy and contribute engineering perspective to planning decisions • Work directly with engineering and ML engineering teams to understand data science capabilities, cloud infrastructure, and how these components help solve end-user problems • Own backlog prioritization and story refinement in collaboration with product and design • Analyze, utilize, and act on data insights presented through instrumentation • Consult with product and design on the best visualization and experience • Facilitate inter-team and cross-functional collaboration • Juggle between production and rapid prototyping needs in a fast-paced environment using agile software practices • Encourage, mentor, and coach junior members of the product development team • Assist with the setup of best practices and develop technical and product domain expertise

• Own and evolve a complex product system • Support hands-on onboarding for new customers • Support post-launch activities • Partner deeply with Engineering to define technical direction • Drive structured execution across planning, delivery, and release cycles • Ensure resilience, scalability, and maintainability of the product over time • Collaborate across Product, Engineering, Data, and Design to deliver cohesive platform experiences

• Lead with a Consultant Mindset • Define project scope, develop structured approaches, and guide clients through complex commercial challenges • Conduct hypothesis-driven analysis — framing the problem, designing the analytical approach, and synthesizing findings into clear recommendations • Communicate with BLUF (Bottom Line Up Front) clarity to both technical and executive audiences • Understand the strategic "why" behind client requests and translate ambiguous business needs into coherent analytical plans • Deliver Strategy, Insights & Commercial Planning • Design and execute qualitative and quantitative analyses to address brand strategy, market sizing, segmentation, and commercial effectiveness questions • Synthesize findings from primary research, secondary data sources, and ODAIA's AI platform into integrated, insight-rich deliverables • Support pipeline strategy and launch planning — including competitive landscaping, opportunity sizing, go-to-market frameworks, and targeting strategy • Enable Dynamic Targeting and Segmentation to sharpen commercial execution and HCP engagement • Define success metrics, track ROI, and present findings through structured QBRs and executive briefings • Apply Data & Analytical Depth • Assess client data maturity, workflows, and analytics infrastructure to design fit-for-purpose solutions • Leverage health and claims data, prescribing data, and market research to build robust, insight-driven analyses • Interpret and apply prescribing metrics — including NBRx (New-to-Brand Prescriptions) and TRx (Total Prescriptions) datasets — to assess brand performance, track launch trajectories, and identify HCP targeting opportunities • Ensure compliance with data quality, privacy, and regulatory standards across all deliverables • Bring working knowledge of omnichannel strategy, Next Best Action (NBA) orchestration, and AI-enabled CRM workflows (Veeva/Salesforce) • Drive Engagement & Account Success • Build trusted, long-term relationships across commercial, analytics, and leadership stakeholders at client organizations • Align cross-functional touchpoints between the client and ODAIA to ensure consistent strategic direction • Proactively identify growth opportunities and surface value throughout the customer lifecycle • Manage Structured, High-Impact Projects • Lead requirements gathering, solution design, and project governance across multi-workstream engagements • Manage timelines, risks, and dependencies while running effective, outcome-driven client meetings and workshops • Liaise with internal ODAIA teams (Engineering, Product, Sales) to translate client feedback into platform and roadmap priorities • Enable Change & Adoption • Drive organizational and process change within client commercial teams, supporting transitions to data-driven decision-making • Educate stakeholders on analytical methodologies, best practices, and ODAIA's AI-powered capabilities • Ensure successful onboarding from sales handoff through sustained adoption and value realization

• Lead and mentor a team of Technical Implementation Specialists, providing guidance and best practices for seamless customer deployments • Oversee customer onboarding and technical implementations, ensuring a smooth transition and system integration • Collaborate with clients and internal teams to define technical requirements and tailor solutions to their needs • Design and optimize ETL workflows, leveraging automation and AI agents to ensure repeatable, high-quality, and cost-efficient recurring data deliveries • Manage integration of customer data into ODAIA’s platform, ensuring accuracy and performance • Oversee data ingestion and pipeline configuration to ensure optimal data readiness for ODAIA's commercial intelligence and AI models. • Utilize modern data tools (e.g., PySpark, Snowflake) to explore, troubleshoot, and resolve issues with ETL and system configuration • Ensure timely and high-quality data deliveries, maintaining data integrity and compliance with industry standards • Analyze team performance data and team output KPIs to identify bottlenecks, improve implementation processes and increase automation • Drive cross-functional collaboration, ensuring alignment between customer success, engineering, and product teams

• Confidently challenge the status quo and help clients rethink how data and insights can unlock commercial performance • Lead consultative discovery conversations that uncover strategic challenges across commercial, insights, and field organizations • Serve as a trusted advisor, developing a deep understanding of client objectives and articulating how ODAIA solutions drive measurable business outcomes • Build and nurture strong executive-level relationships with decision makers across Director, VP, and C-suite levels • Expand new business across assigned segments with a focus on mid-sized to enterprise Life Sciences organizations • Support the full enterprise sales cycle, including prospecting, qualification, solution positioning, proposal development, and closing • Manage complex buying groups and multiple stakeholders within pharmaceutical organizations • Partner with Product, Solutions Architecture, and Marketing teams to co-create compelling, value-driven proposals and demonstrations • Maintain accurate pipeline management, forecasting, and CRM discipline

• Own and drive new business acquisition across mid-market and enterprise Life Sciences organizations, with full accountability for pipeline generation, deal progression, and revenue targets • Lead complex, multi-stakeholder sales cycles, navigating commercial, SIP, SFE, and IT buying groups to build consensus and close • Identify whitespace opportunities across business units, therapeutic areas, and brands to expand ODAIA’s footprint within strategic accounts • Develop compelling business cases that connect ODAIA’s AI-driven insights to measurable commercial outcomes - revenue acceleration, field productivity, and competitive advantage • Lead with outcomes, not features - challenge the status quo and help clients rethink how predictive intelligence and Next Best Action strategies can transform commercial performance • Build and deepen executive-level relationships with decision-makers across Director, VP, and C-suite levels, positioning ODAIA as a long-term transformation partner - not a transactional vendor • Operate within ODAIA’s cross-functional pod model alongside Solution Architecture, Business Acceleration, Product, and Customer Success to co-create value-driven proposals and demonstrations • Maintain disciplined pipeline management, forecasting, and CRM hygiene (Salesforce), ensuring pipeline health through proactive opportunity development • Bring real-world market insights, competitive intelligence, and client transformation needs back to Engineering and Product to influence roadmap priorities

• Develop a "master-level" understanding of ODAIA’s product architecture • Act as a trusted strategic advisor designing "Data-to-Insight" blueprints • Partner with Sales to land and shape strategic accounts • Deliver technical presentations and develop high-value technical content • Identify technical risks and design proactive mitigation strategies

• Lead complex, multi-system implementations for enterprise customers • Serve as an escalation point for implementation or customer data challenges • Partner with Product, Engineering, and Customer Success on roadmap priorities • Establish implementation playbooks, documentation practices, tooling standards, and quality benchmarks • Help shape and refine the technical delivery strategy for the team • Drive automation and scalability across onboarding and ingestion • Coach and develop Senior and Intermediate Implementation Engineers • Represent ODAIA as a technical leader in customer-facing forums • Evaluate new technologies and platforms to improve delivery performance