• Own regional AI sales targets ; develop and deliver the regional strategy to meet and exceed quotas across diverse APAC territories. • Collaborate with local Core Sales teams and country managers to tailor, execute, and optimize sales plans for both new and existing accounts. • Proactively lead large, complex deal pursuits and strategic customer engagements, providing expertise and executive presence at all stages of the sales cycle. • Build and nurture strong relationships with key customers and partners - understanding their challenges and aligning the Zendesk AI portfolio to their goals. • Champion a value-based, consultative approach to selling AI products that aligns to customer goals, industry-specific requirements, and emerging regional trends. • Oversee regional support of AI product trials, proofs of concepts (POCs), and customer success stories, demonstrating clear value and positive business impact. • Collaborate closely with APAC GTM leadership, supporting them to drive greater growth and adoption of our AI portfolio through joint account planning, co-selling, pipeline, and expansion plays. • Be a subject matter expert and evangelist for AI solutions - driving enablement, best-practice sharing, and continuous learning initiatives across the APAC sales organization. • Maximize AE participation in our AI targets, by providing ongoing education to regional AEs and go-to-market teams on product updates, AI market insights, and competitive dynamics. • Act as the principal point of contact for escalations, complex deal support, and cross-functional collaboration with Product, Sales, Marketing, and Customer Success teams. • Coach, mentor, and inspire a team of AI Sales Specialists and overlay sellers to excel in prospecting, opportunity creation, and executing winning AI sales plays. • Foster a high-performance, collaborative team culture—sharing success, celebrating diversity, and driving continuous improvement. • In-depth practical knowledge and understanding of the AI Agent portfolio, with an ability to build and present demo’s, tailored to each customers specific needs.

• Carefully review provided data (text, images, or videos) • Label or classify content based on project guidelines • Identify and flag factually incorrect, sensitive, inappropriate, or unclear material • This is project-based work, meaning tasks are available only when projects are active. • The next project is expected to start in a few weeks. Depending on your profile and current opportunities, you may be invited to participate in one or more projects.

• Lead a Data & AI centre of excellence. • Shape strategy, embed decisions at scale. • Own the Data, Insights & AI strategy and roadmap aligned to company growth priorities. • Convert strategic goals into a value-led, sequenced portfolio with clear success metrics. • Act as the single owner of analytics, research, and AI initiative prioritisation. • Lead development of predictive models and analytics across the student lifecycle. • Build and oversee a pipeline of AI use cases—from rapid tests to scaled solutions. • Embed AI-driven insights directly into business workflows and decision forums. • Ensure responsible AI governance in partnership with IT, Security, and Legal. • Own enterprise performance frameworks across acquisition, enrolment, and progression. • Translate analytics into clear actions that strengthen marketing, sales, and student outcomes. • Partner closely with Growth and Student Success to embed insights into daily operations. • Accelerate synthesis of market and performance data using AI-enabled pattern detection. • Build proprietary market intelligence assets that elevate partner value and Keypath’s market leadership. • Lead market intelligence capabilities combining internal data, VOC, research, and external signals. • Oversee primary research, segmentation, and insight activation across the business. • Shape market narratives and partner value propositions grounded in deep insight. • Co-own the data platform strategy with IT (including Microsoft Fabric and modern data stack). • Steward data products, semantic models, KPIs, and certified Power BI assets. • Lead data governance, quality, and stewardship practices to ensure trusted insights. • Lead a high-performing Data & Insights team with strong commercial and storytelling capability. • Set analytical and narrative standards for the organisation. • Champion data literacy uplift and evidence-based decision-making across Keypath.

• Drive drug discovery programs by developing and applying innovative AI/ML models. • Collaborate closely with experimental scientists to connect computational predictions with lab experiments. • Support hypothesis testing and help iterate between modeling and experimental results. • Lead the development of scientific foundation models that integrate molecular design and biological data. • Advance the field by publishing findings in top-tier venues and representing Lilly at the forefront of the global AI4Science community. • Work with MLOps and Data Engineering partners to help transition research prototypes into scalable tools.