• Own and shape the end-to-end data strategy for China, Japan, South Korea, and India • Serve as the senior analytics partner to CJKI country leaders and regional marketing leads • Ensure the voice of CJKI users is embedded in Canva’s global product and growth strategy • Go beyond surface metrics to uncover structural drivers of growth and friction • Define best-in-class experimentation and measurement standards across the region • Oversee the evolution of trusted, scalable data products • Act as a force multiplier within the International Data team, mentoring Senior Data Scientists

• Lead a team of business data analysts responsible for implementation, enhancement and maintenance of Anti Money Laundering (AML) Transaction Monitoring (TM) platform • Bring strong domain expertise in Securities Compliance • Translate typology driven requirements into implementable detection logic • Partner closely with Technology, Data, and Modeling teams • Engage with Audit and Compliance stakeholders to support issue validation, remediation planning, and closure of regulatory or internal audit findings

Role Description - Develop trade analytics solutions for compliance, risk scoring, and evasion detection (AD/CVD, transshipment, forced labor) - Work with CBP systems (e.g., ACE) and support DHS mission objectives - Build and optimize data pipelines using Databricks, Spark, and Delta Lake - Design, train, and deploy ML/AI models using MLOps frameworks (MLflow, Kubeflow, CI/CD) - Develop and implement GenAI solutions (RAG, prompt engineering, fine-tuning, agentic workflows) - Apply explainable AI (XAI) techniques and Responsible AI frameworks (NIST AI RMF) - Deliver secure solutions in AWS GovCloud or Azure FedRAMP environments - Support ATO processes and ensure compliance with federal security standards - Manage Agile tasks independently, including backlog ownership and stakeholder communication Qualifications - Experience with CBP/trade systems (ACE, AD/CVD, tariff enforcement) or background in financial crimes, forensic analysis, or intelligence planning is preferred - Hands-on expertise in Databricks, Apache Spark, and Delta Lake - Strong MLOps experience (MLflow, Kubeflow, CI/CD for ML models) - Experience with LLMs (RAG, fine-tuning, prompt engineering, GenAI deployment) - Knowledge of Explainable AI (SHAP, LIME) and Responsible AI frameworks - Experience working in AWS GovCloud or Azure FedRAMP (IL2+) environments - Familiarity with ATO and secure federal data environments - Ability to work independently with minimal supervision in federal programs - Strong communication and stakeholder management skills

Role Description Eli Lilly and Company seeks a Clinical Trials Data Associate (P1) to be responsible for trial-level clinical data strategy including: - Database structure, content and meaning - Acquisition, storage, retrieval, interchange, delivery, and representation Key responsibilities include: - Collaborating with key study partners to define, implement, and deliver clinical data management packages - Providing trial leadership and ownership for a particular trial, set of trials, or programs - Ensuring that data management timeline and results are delivered to scope, cost, and time objectives - Driving data flow design through consultation, review, and approval of vendor work - Defining and approving data quality and submission outputs and results Qualifications - Bachelor’s degree in Statistics, Information Technology, Biochemistry, Epidemiology, or a related field - 3 years of experience with data collection, data flow management, data quality, data technology, dataset delivery, archiving, and data standards - 3 years of experience articulating the flow of data from patient to analysis - 3 years of experience applying knowledge of clinical/drug development and collaborating with study team members - 3 years of experience leading development of creative data solutions to address clinical development challenges - 3 years of experience setting and implementing plans to improve complex clinical data management processes and capabilities - 3 years of experience with Tableau, PowerBI, Python, SAS, ‘R’ and Shiny for reporting, metrics and visualization, P-SQL, and T-SQL for DMBS Requirements - Telecommuting benefit available Benefits - Eligibility to participate in a company-sponsored 401(k) - Pension - Vacation benefits - Eligibility for medical, dental, vision and prescription drug benefits - Flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts) - Life insurance and death benefits - Certain time off and leave of absence benefits - Well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities) Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is $79,206.00 - $91,086.90 per year. Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance).