• Lead complex data initiatives by transforming ambiguous business needs into scalable architectures. • Partner with Product Management, Product Engineering, and Analytics to understand requirements and deliver analytics platform capabilities. • Drive key semantic modeling design decisions that balance current reporting needs with future scalability.

About Airwallex Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide - including Brex, Rippling, Navan, Qantas, SHEIN and many more - with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale. Proudly founded in Melbourne, we have a team of over 2,000 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you're ready to do the most ambitious work of your career, join us. Attributes We Value We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you're motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor. You're humble and collaborative; turn zero-to-one ideas into real products, and you "get stuff done" end-to-end. You use AI to work smarter and solve problems faster. Here, you'll tackle complex, high-visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let's build what's next. The Role We're looking for a Data Science Director for Growth to lead the data science engine behind Airwallex's next phase of hyper-growth. This is a senior leadership role at the intersection of data, product, and growth strategy - responsible for driving measurable impact across acquisition, activation, conversion, retention, and monetization. You will shape how we use experimentation, advanced analytics, and machine learning to unlock step-function growth, partnering closely with leaders in Product, Engineering, Marketing, and Design. This role is ideal for a growth-minded data science executive who thrives in a fast-scaling, high-impact environment. This is a full-time role based in San Francisco. What You'll Do - Lead & Scale a High-Impact Team: - Build, mentor, and inspire a world-class data science & AI team focused on driving user and revenue growth. - Foster expertise in applied ML and GenAI, ensuring the team balances experimentation, traditional DS rigor, and cutting-edge AI capabilities. - Own Experimentation at Scale: - Architect and oversee our experimentation framework - A/B testing, multi-arm bandits, and causal inference - to accelerate innovation. - Extend this framework into AI-driven adaptive experimentation, leveraging bandits and reinforcement learning to allocate growth investments dynamically. - Develop Growth-Focused AI Solutions: - Agentic workflow for Growth: build copilots and agent workflows (e.g., automated campaign generation, sales assistant bots, lead research copilots) - Personalization engines: Use embeddings and recommendation models to deliver contextualized product experiences and lifecycle messaging. - Advanced segmentation & profiling: - Learn patterns & turn data into numbers: Leverage ML + embeddings to identify high-value prospects and clusters. - Churn & retention modeling: Predict customer behavior and trigger AI-driven lifecycle interventions. - Propensity scoring & lead prioritization: Blend predictive ML with LLM-powered enrichment of firmographics/intent data. - Pricing & incentive optimization: Apply reinforcement learning and causal ML to optimize offers in real time. - Deliver Strategic Insights & AI-Enhanced Playbooks: - Translate complex DS/AI outputs into growth playbooks, roadmaps, and investment strategies. - Build self-serve AI-driven insights tools (e.g., natural language query over growth data via LLMs) for cross-functional partners. - Partner Across Functions: Work hand-in-hand with CRO, Head of Growth, Growth PMs, Growth Engineers, Marketing, and Sales to embed data-driven thinking into every growth initiative. - Define Metrics & Drive Measurement: Establish clear KPIs for acquisition, activation, retention, and LTV; ensure rigorous and consistent measurement across markets and teams. - Champion Data-Driven Culture: Elevate the role of data science in shaping business strategy and mentor the next generation of data science leaders at Airwallex. Who You Are - Experienced Growth Leader: 10+ years in data science, analytics, or applied ML, including 5+ years leading teams at scale in top-tier tech, fintech, or growth-driven businesses. - Deep Growth Expertise: Proven track record of using data science to drive customer acquisition, funnel optimization, personalization, and retention in high-growth B2B products. - Technical Depth: Strong background in analytics, statistical modeling, causal inference, experimentation design, and proficiency with Python/R, SQL, and cloud-based data platforms. - Strategic Operator: Comfortable navigating business trade-offs, prioritizing initiatives for outsized growth impact. - Cross-Functional Influencer: Skilled at partnering with Product, Engineering, and Marketing leaders to align on shared goals. - Builder Mindset: Thrives in fast-scaling environments with high ambiguity and is excited to build teams, systems, and best practices from the ground up. - Communication: Exceptional verbal and written communication skills with the ability to influence executive-level stakeholders and translate complex model results into actionable business insights. Applicant Safety Policy: Fraud and Third-Party Recruiters To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page. Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary. Equal opportunity Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don't regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know. #BI-Hybrid

Role Description The primary responsibilities of the Adjunct Faculty member are the instruction and coordination of the Mammalian Cell Biotechnology course for the Biocon-KGI Program, Henry E. Riggs School of Applied Life Sciences. Candidates will be expected to have a strong commitment to innovative teaching and active learning. The adjunct faculty appointment is on a term-by-term basis and the course is taught via online synchronous live sessions, which take place on weekday evenings (Pacific Standard Time). In this course, students without prior background of this area will gain knowledge of: - State-of-the-art mammalian cell biotechnology - Challenges faced and forthcoming, including: - Process intensification - Speed to the clinic - Product quality issues - Safety, contamination, and containment - Scale up and manufacturing capacity - The biology of cultured cells, including kinetics for cell growth and metabolism - Cell line engineering techniques and formulation of cell culture medium - Feeding strategies to control aspects of cell metabolism and enhance product yield and efficacy - Engineering aspects including aeration and stirring for the design of various cell culture bioreactor reactors and culture vessels - Distinguishing different operation modes and applying different cell retention techniques for perfusion Qualifications - A minimum of a Master’s degree in biochemical engineering, bioengineering, or a related field - Relevant Biopharma/Biotech industry experience (5-7 years) is required - A doctoral degree is strongly preferred - Experience with downstream bioprocess technology is required - Prior teaching experience and a commitment to active learning is preferred - Experience with the Canvas learning management system and online teaching is a plus (training is available) Requirements - Provides high-quality student instruction - Evaluates student performance (e.g., written assignments, examinations, in-class activities) - Provides remedial instruction as needed Benefits - This is a part-time, exempt, adjunct faculty position and is not eligible for benefits - Schedules will vary depending on course assignments and the needs of the department or the Institute - The base salary range for this position is $2,500 - $15,000 per semester, depending on credits per course Physical and Mental Requirements - Ability to maintain good concentration while dealing with interruptions - Attention to details with emphasis on accuracy - Capable of giving, receiving, and analyzing information, formulating work plans, and articulating goals and action plans - Sitting in a normal seated position for extended periods of time - Standing for extended periods of time - Ability to hear within normal parameters - Ability to bend and stoop (e.g., to file) - Ability to move about - Ability to lift and carry short distances up to 20 lbs. (e.g., to lift or move office supplies, files, books, and packages) - Ability to travel locally, depending on business needs To Apply A confidential review of applications, nominations, and expressions of interest will begin immediately and will continue until an appointment is made. To be ensured full consideration, please upload a letter of interest, resume, and three professional references (a manager, a direct report, if applicable, and a coworker). Equal Employment Opportunity Policy Keck Graduate Institute is an equal opportunity employer. It does not discriminate against qualified employees or applicants based on race, color, religion, sex, gender identity, pregnancy, national origin, ancestry, citizenship status, age, marital status, physical disability, mental disability, medical condition, sexual orientation, military or veteran status, genetic information, or any other characteristic protected by applicable state or federal law. Equal employment opportunity will be extended to all persons in all terms and conditions of employment. Keck Graduate Institute (KGI) is a participating employer in E-Verify. We use E-Verify to confirm the employment eligibility of all newly hired employees as required by federal law. For more information about E-Verify, please visit www.e-verify.gov .

Role Description We are seeking a highly skilled Data Engineering - Quality Engineer to define and implement end-to-end testing strategies for a modern data platform built on AWS. This role will be responsible for ensuring data quality, reliability, and performance across the entire pipeline; from ingestion to transformation and reporting; within the Redshift BI Foundations program. - Define the end-to-end testing scope based on solution architecture and project OPM documentation - Design and implement a comprehensive testing strategy and plan aligned with organizational QA standards - Develop and maintain test scripts and frameworks for the Redshift BI Foundations platform - Perform testing across key technologies, including: - AWS Redshift - AWS DMS (Data Migration Service) - AWS Glue - Terraform - Python-based data pipelines - Apache Airflow (via Astronomer managed interface) - dbt (data build tool) - Soda.io (data quality and observability) - Build and implement automated testing solutions to ensure: - End-to-end data validation - Data ingestion accuracy - Transformation logic integrity - Data pipeline reliability - Conduct test coverage analysis and ensure adequate validation across all data engineering workflows - Prepare and manage test data - Review and provide feedback on: - Solution architecture - Data models - Design and technical documentation - Collaborate with cross-functional teams (Data Engineering, BI, DevOps, Product) to: - Identify testing impacts - Mitigate risks - Ensure high-quality deliverables Qualifications - Proven experience in data engineering testing / data QA / ETL validation - Strong hands-on experience with AWS data services (Redshift, Glue, DMS) - Proficiency in Python for test automation and validation - Experience with Airflow (Astronomer preferred) and orchestration testing - Hands-on experience with dbt and data transformation validation - Familiarity with Terraform for infrastructure validation - Experience in BI testing in Tableau will be highly beneficial - Experience with data quality tools such as Soda.io or similar - Strong understanding of: - Data warehousing concepts - ETL/ELT pipelines - Data validation techniques (schema, reconciliation, anomaly detection) Requirements - Experience designing enterprise-level test strategies for data platforms - Knowledge of CI/CD pipelines for data and test automation - Experience working in Agile / Scrum environments - Familiarity with data observability frameworks Benefits - Medical, dental, and vision insurance - Comprehensive employee assistance program - 401(k) retirement plan - Paid time off and holidays