职位职责： 1、设计并实施全面的指标体系和量化评估框架，以评估风控策略的有效性，并持续优化评估方法以准确追踪风控能力； 2、通过分析行业趋势、竞争格局和内部数据，领导战略规划，并将洞察转化为可执行的业务计划，以提升平台安全性和政策执行效率； 3、与利益相关方合作，通过数据驱动的方式实现业务目标，例如监测策略对风控能力的影响、使用统计方法建立高效决策体系、标准化可复用的分析方法与工具提升团队效率； 4、与跨职能团队协作，统一优先级，传达基于数据的建议并推动执行，在组织层面推动数据驱动文化的采纳与实践。 职位要求： 1、拥有数学、统计相关专业的本科学历及以上，具备扎实的统计、假设检验理论和实验设计基础； 2、有量化复杂问题的经验，能在多因素影响下使用统计方法寻找答案，如实验设计、因果推断等；熟练使用SQL、Python、R、Excel和Tableau等数据分析工具； 3、具有2年及以上数据科学相关行业经验，熟悉成功指标设计与A/B测试，对全球化产品的风险有深刻理解； 4、具备网络检测能力，能够与工程、产品团队合作设计可扩展的风险识别流程； 5、能将技术分析结果转化为清晰的战略建议，具备在快节奏环境中推动跨团队协作的成功经验； 6、具备对公司产品及其相关行业技术发展趋势的敏感度，拥有较强的宏观分析和决策能力。

职位职责： 1、与海内外信任与安全（Trust and Safety）团队紧密协作，主动提供数据洞察与建议，推动数据分析价值落地，并把控业务的宏观方向； 2、设计并搭建平台内容安全与风险相关的指标体系，监控并优化各环节的风险覆盖，评估安全策略的效果，辅助业务决策； 3、构建和优化风险识别模型或工具，提升信任与安全策略的主动防御能力和自动化水平； 4、主导从0到1的定量分析项目，包括搭建分析框架、提炼可执行的洞察，并与跨职能团队（XFN）合作以推动实际业务影响； 5、通过深入的市场调研，支持长期业务规划的战略制定与执行。 职位要求： 1、拥有3年以上数据科学或产品分析相关工作经验，本科及以上学历，计算机科学、数据科学、统计学等相关专业优先； 2、熟练掌握至少一门编程语言，如SQL或Python，具备扎实的统计学、机器学习数学基础，熟悉数据流水线搭建、模型开发、测试与部署全流程； 3、英语听说读写流利，能向技术与非技术受众清晰传达分析和技术内容，具备从业务需求出发定义数据项目的能力； 4、有面向消费者产品的分析经验，敏锐识别社交平台上存在的恶意或不当行为； 5、能通过定量方法解决问题，并将复杂概念与分析结果转化为可推动业务决策的方案； 6、有内容安全、搜索或风险管理相关经验者优先。

Alvanon HK, Ltd. As the leading global apparel business and product development consultancy, we help our clients grow sales and improve profitability by aligning their internal teams and strategic suppliers, engaging consumers, and implementing world class innovations throughout their product development processes and supply chains. We sincerely invite analytical, energetic and self-motivated individuals to join Alvanon. We are looking for candidates for the following position: Machine Learning/Data Science Manager You will be working at our head office in Hong Kong, developing new products relating tobody fit and fashion technology using engineering and machine learning techniques. You will be leading the machine learning team, working closely with other stakeholders to create innovative solutions and products with the latest machine learning technologies. Responsibilities ● Lead and drive the team to deliver AI/ML solutions. ● Identify and communicate with key stakeholders and understand their requirements. ● Research and develop AI/ML solutions that have real impact on our business/products. ● Implement machine learning/deep learning models and bring them into production. ● Work with data scientists and software developers through the entire R&Dpipeline (problem analysis, idea generation, data collection, model prototyping, evaluation, implementation, deployment and maintenance). ● Maintain and improve in-house interface for application prototype, model visualization and evaluation. Requirements ● Doctor Degree in Computer Science/Information System/Statistics or any related quantitative disciplines ● A minimum of 5 years of working experience in the relevant field ● Understanding of common machine learning models/algorithms, such as SVM, logistic regression, Bayesian regression, Neural Networks, etc. ● Basic understanding of probability, statistics, optimization, data structure and algorithms ● Hands-on experience in machine learning/deep learning tools, such as PyTorch, TensorFlow, Keras ● Strong communication skills in English, Mandarin and Cantonese ● Research experience in AI/ML/CV/CG in companies or university research labs is a plus Personality ● Have effective communication skills ● Have sense of ownership of work and desire to deliver great products To apply, please

What will you do? 1、Work with a team of product managers on our App customer acquisition & engagement suite of products 2、Drive customer growth and engagement by turning every customer interactions with the Klook App moments of Joy 3、Collaborate with cross-vertical product teams to ensure optimal integration of product flows 4、Monitor product metrics, identify opportunities, and optimize functionality 5、Conduct quarterly and annual strategy and planning process for App user domain 6、Conduct monthly and quarterly business reviews to share performances and roadmap What is expected? 1、Bachelor's degree in Business, Computer Science, Engineering, or related field 2、3+ years of experience in product management, with a track record of delivering successful products 3、Exceptional strategic thinking, analytical skills, and problem-solving abilities 4、Proven ability to collaborate effectively across departments and manage stakeholder relationships 5、Excellent communication and presentation skills to convey complex concepts to both technical and non-technical audiences. 6、Business level or above fluency in English and Mandarin Chinese is preferred 7、Familiarity with agile methodologies and product management tools 8、Passion for travel and a deep empathy for our customers around the world

Job Summary This is a greenfield development opportunity to design, build and implement the next generation derivatives platform. We are committed to modernize our infrastructure and aligning our operating model to a client-led framework. This is our key strategic project to bring innovation to market participants in trading, clearing and risk management of the derivatives markets. We are looking for a dynamic and passionate individual to join us as the System Development Lead in the Risk Management System. The incumbent will primarily focus as the Risk Management System architect to drive the overall application design, and will have the opportunity to develop and work with new technology. He/she will be part of the mission critical platform development team and will have the privilege to work closely with seasoned, enthusiastic technologists across the IT Division as well as the exposure to work with various business stakeholders across HKEX. Job Duties Job Duties Responsibilities: Manage system development life cycle and oversee project implementation including the requirement definition, resource estimation, system design and development, functional and technical testing, production migration and documentation. Head the internal development team for systems development and testing. Design and implement systems with modern technologies, high availability and scalability; investigate and resolve design defects and technical issues. Perform quality review for software design and code changes. Collaborate with teams across IT and business departments. Ensure system development and operation in accordance with the IT development standards and guidelines, and corporate policies and frameworks. Requirements: • Degree in Computer Science, Information Technology, Mathematics, Statistics, Financial Engineering or related disciplines. • 10+ years system development experience in large scale systems, preferably in the financial services industry. • Strong skillsets in Java, C++, Python, Perl, RESTFul, SQL, React JS, JSX. • Expertise experience in system architecture design. • Extensive experience in development in Spring Boot, Linux, data modelling, micro-services and containerized architecture platform. • Strong knowledge and experience in cloud technology with solid experiences of in-memory DB and messaging technologies are essential. • Experience in DevOps framework and tools (eg. Jira, Git, Jenkins, etc) and automated testing frameworks like Selenium, Jasmine or JUnit. • Familiarity with object storage, solid proficiency in database, noSQL and data manipulation tools for handling and analyzing large datasets. • Strong analytical and problem solving skills and mindset, self-motivated and able to work independently. • Understanding of quantitative finance concepts, derivatives pricing, risk management model, and/or portfolio optimization is a definite advantage. • Good communication skills to work and interact with internal IT teams and business stakeholders.

Job Responsibilities: Responsible for project implementation activities including the requirement analysis, test management and documentation. Design test cases and automate test executions. Collaborate with teams across departments in various aspects. Supervise and mentor a group of testers. Undertake any other assignments and projects as assigned by supervisor. Job Requirements: Degree in Computer Science, IT or related disciplines. Minimum 10 years’ experience in requirement analysis and test management of large / medium scale projects. Minimum 5 years' experience in managing a team of testers. Solid knowledge in common testing frameworks and tools, e.g., Selenium, Cucumber. Good skills of certain programming languages, e.g., Python, Perl. Good analytic mind, self-motivated and able to work independently. Proficiency in SDLC methodology and documentation.

岗位职责: Job Title: Head (Data Intelligence Department) Department: Data Intelligence Department, HKUST(GZ) As a higher education institution committed to innovation and data-driven decision-making, HKUST(GZ) is establishing a new Data Intelligence Department aimed at harnessing the power of data to enhance operational efficiency and strategic growth across all levels of the organization. We are seeking a visionary leader to head this critical initiative. The ideal candidate will possess a blend of strategic vision, technical expertise, and leadership skills to build and nurture a high-performing team dedicated to data governance, data analytics and business intelligence. Duties 1. Drive cooperation among various departments to develop and implement a university-wide data governance strategy that aligns with the University's mission and strategic goals. 2. Establish the framework of data governance and develop long-term plans for the development of AI/HPC Data Center and Smart Campus, and promote the utilization of computing technologies and improvement of energy efficiency to achieve the vision of a "Sustainable Smart Campus". 3. Develop and promote the implementation of campus data governance policies, including the standards of the allocation and usage of computing resources and smart campus services, policies for the entire data lifecycle management as well as category-based and class-based data security and protection. 4. Lead the innovation in the management and services of the AI/HPC Data Center to meet the computational demands of research/teaching and future development of the society and enhance the university’s scientific research capabilities by improvement of operational efficiency and service capabilities. 5. Oversee the operation and intelligent upgrades of Smart Campus systems including multimedia and research/teaching facilities, office and life services, security access, and smart buildings, ensuring efficient operation and interaction of the systems, and upgrading the design of intelligent campus services. 6. Supervise the compliance of data to ensure it meets both domestic and international data protection laws and standards，ethical norms, and the university’s data confidentiality requirements. 7. Guide the data teams from various University's departments to establish and optimize data processing workflows, foster a culture of data-driven decision-making, promote data accumulation and then to form data assets and driving continuous institutional improvement through the strategic use of data across the University. 任职要求: A qualified candidate should: 1. Hold a bachelor's degree or above in Data Science, Computer Science, or a related field. 2. Have at least 10 years of relevant work experience, including data management and team leadership in large organizations. 3. Possess excellent communication and teamwork skills, able to collaborate across departments to promote the implementation of data policies. 4. Be familiar with domestic and international data security and compliance policies and related regulations, such as China's Data Security Law, China's Cybersecurity Law, etc., with experience in handling data compliance in multiple jurisdictions. 5. Have strong strategic planning, organizational management, innovation management, and change implementation capabilities. This is a Mainland appointment, and the appointee will be offered a contract by HKUST(GZ) entity in accordance with the Mainland labor laws and regulations. Starting salary will be commensurate with qualifications and experience.

岗位职责: Job Title: Technican（DOIT） Department: Center for Digital World with Intelligent Things (DOIT), HKUST(GZ) Job ID: Job Posting Details Formally established in June 2022, the Hong Kong University of Science and Technology (Guangzhou)(HKUST(GZ)) is a cooperatively-run university between the Chinese mainland and the Hong Kong Special Administrative Region. HKUST(GZ) has obtained approval from the Ministry of Education (MoE) and become the first legally-independent educational institution co-established by the Mainland and Hong Kong since the announcement and implementation of the “Outline Development Plan for the Guangdong-Hong Kong-Macao Greater Bay Area” and the “Overall Plan for Deepening Globally Oriented Comprehensive Co-operation amongst Guangdong, Hong Kong and Macao in Nansha of Guangzhou”. With a spirit of pioneering innovation, HKUST(GZ) charts new territories in cross-disciplinary education and explores new frontiers in pedagogies, aiming to serve as a role model of the mainland-Hong Kong integrated educational development and become a world-famous high-level university, endeavoring to nurture future-oriented, high-level and innovative talents. HKUST(GZ) is located at **** Duxue Road, Qingsheng Hub Cluster, Nansha District, Guangzhou. The campus covers an area of about 1,669 mu (111.3 hectares) and is divided into two construction phases. The first phase covers an area of about 716 mu (47.7 hectares) with a floorage of about 636,000 square meters (63.6 hectares), which had been officially put into use in September 2022. The design of the campus blends natural scenery with architecture, with key cutting-edge technologies for energy conservation and environmental protection adopted during the design and construction process, in a bid to establish the campus as a new benchmark of green, smart and sustainable development. Duties 1.Organize events and group activities at the center; 2.Manage the facilities, furniture, and equipment; 3.Oversee general management and daily operation; 4.Coordinate with sister labs/units for demos and visits; 5.Support non-technical issues such as renovation, maintenance, and reimbursement; 6.Other related duties as assigned. 任职要求: Qualification Requirements 1.A Master’s degree in EE, CS, or related disciplines, plus at least 5-year working experience in university, research institution, or hi-tech company; 2.Sound knowledge in R&D, project management, lab administration, and event organization is preferred; 3.Strong sense of responsibility, leadership, ability to delegate is required; 4.Good time management skill and ability to handle multiple tasks simultaneously are essential; 5.A good command of written Chinese and English. Proficiency in English, Putonghua and Cantonese is preferred; 6.Proficiency in MS Office, Excel, and project management tools is preferred. This is a Mainland appointment, and the appointee will be offered a contract by HKUST(GZ) entity in accordance with the Mainland labor laws and regulations. Starting salary will be commensurate with qualifications and experience. Application Procedure In support of a green work environment, we accept applications submitted online only. To apply, please register and log in via this link: https://career.hkust-gz.edu.cn/en/career and search for the opening by Job ID or Job Title. Applicants should include a Resume in their applications, and could check their application status via the recruitment website. We thank applicants for their interest but advise only shortlisted candidates will be notified of the result of the application. In exceptional circumstances, for example unsuccessful application, please contact Human Resources Department at ********************. (Information provided by applicants will be used for recruitment and other employment-related purposes only.)

Responsibilities: • Design and build advanced applications for the Android platform • Collaborate with cross-functional teams to define, design, and ship new features. • Unit-test code including edge cases, usability, and general reliability. • Work on bug fixing and improving application performance. • Continuously discover, evaluate, and implement new technologies to maximize development efficiency. Qualifications: • BS/MS degree in Computer Science, Engineering or a related subject • 5+ years of software development experience • 3+ years of Android development • Have published more than 3 Android apps in the Google play • A deep familiarity with Kotlin and Java with multi-thread programming • Experience working with Android common frameworks • Have good code quality sense include architecture design and code detail

Educational Background: Bachelor’s degree in Computer Science, Computer Engineering, Information Technology, Information Services, or a related field is required. Professional Experience: 8+ years of experience in Core Java, Java EE, and web development. Technical Expertise: Expertise in Java; experience with HTML5, JavaScript, CSS3, and SQL. Expertise in Object-Oriented Design, Multi-Threading, and Performance Tuning. Experience with unit and functional testing using JUnit, Mockito/JMock. Experience with Spring, Spring Boot, Jetty, Servlet, Redis, and Elasticsearch. Experience with SQL Server/MySQL. Experience with DevOps tools. Hands-on experience with distributed systems and service-oriented architecture; solid understanding of HTTP, RESTful, SOAP, and MQ. Experience with Ant/Gradle build tools. Experience with containerization (Docker/K8s). Experience with Scrum/Kanban Agile methodologies. Experience troubleshooting and resolving application defects in a mature production system. Additional Requirements: Good understanding of common web application security risks. Excellent verbal and written communication skills.

What will you do? 1、Contribute to the product strategy for our platform services, including *****ization, to ensure a seamless and culturally relevant user experience across all markets. 2、Support efforts to drive user acquisition and engagement by optimizing the Klook App for global audiences, considering cultural nuances and linguistic preferences. 3、Work closely with cross-vertical product teams to ensure that vertical product flows are optimally integrated to fit global customer expectations, with a focus on *****ization requirements. 4、Monitor product metrics related to platform services and *****ization, identify opportunities, and propose optimizations to improve global user experience. 5、Participate in monthly and quarterly business reviews to share performances and roadmap, highlighting progress in *****ization efforts. What is expected? 1、Bachelor's degree in Business, Computer Science, Engineering, or a related field. 2、3-5 years of experience in product management, with a track record of contributing to successful products, ideally with some exposure to *****ization or internationalization. 3、Strong analytical skills and problem-solving abilities, particularly in a global context. 4、Proven ability to collaborate effectively across departments and manage stakeholder relationships, including working with translation and *****ization teams. 5、Good communication and presentation skills to convey concepts to both technical and non-technical audiences. 6、Business level or above fluency in English and Mandarin Chinese is preferred; proficiency in other languages is a plus. 7、Familiarity with agile methodologies and product management tools. 8、Passion for travel and a deep empathy for our customers around the world, understanding the importance of *****ized experiences.

You will, in conjunction with the main engineering team, help create a best in class functional and performance testing infrastructure. You will work closely with our low latency developers, coding the framework to meet the needs on the project going forward. Responsibilities: • Create a best in class functional and non-functional test harness for our key matching engine technology • Process and categorize the output data so it can be easily interrogated on a daily basis by the business and technology • Incorporate packet capture technologies to accurately measure latency of the system in prod-like environments • Work closely with the main engineering team to make sure the testing framework can extend and adapt to the teams needs • Be able to code proficiently in one of Java or C++ and Python • Have a good understanding of the Linux network stack and be interested in learning more about low latency systems Requirements: • Degree in Computer Science, IT or related disciplines. • Minimum 8 years’ experience in software development in large scale systems with multi-components • No less than 8 years of programming in Python, Java or C++. • Understanding of microservice architecture. Good analytic mind, self-motivated and able to work independently. • Fluent spoken and listening English. • Proficiency in SDLC methodology and documentation. • High level understanding of agile software delivery principles is desirable • Knowledge of Messaging platforms, Linux network stack, packet capture/pcaps • Proficiency in Java or C++ (especially testing frameworks in C++ or Java, ex GoogleTest, Boost Test, Junit, Fuzz Testing) • Good analytical, presentation and communication skills, both written and verbal • Exposure to CI/CD tools and experience of contributing to automation strategy • Ability to provide clear, insightful analysis and commentary, proficient with using presentation tools such as PowerPoint, Confluence and Miro • Collaboration with individuals and teams across the organisation at all levels • Ability to work under pressure with changing priorities, with a view to resolving issues innovatively, and meeting key stakeholders expectations • A dynamic and self-motivated attitude • Accountable and proactive • Able to provide leadership and motivate team demonstrating strong interpersonal skills • Must display strong analytical skills and attention for detail

岗位职责： 1. 主导项目全生命周期管理，运用专业方法论及工具统筹规划、启动、执行、监控、验收全流程，协调跨团队资源，确保各干系人高效协同，达成项目目标 2. 统筹项目计划制定与动态维护，主导需求评审、里程碑会议等，建立透明化沟通机制，及时消除进度偏差 3. 构建项目管理制度体系，结合业务特性设计流程机制，推动最佳实践沉淀与标准化建设，针对创新型项目快速建立可复制的实施路径 4. 建立多维度量体系，从质量、效率双维度实施过程监控与持续改进，系统化识别、预警和解决项目风险，保障交付成果满意度 5. 深度参与业务策略制定，通过数据洞察优化资源配置，推动项目管理效能与团队成熟度提升 任职要求： 1. 本科及以上学历，计算机、金融或相关专业背景 2. 3年以上互联网/金融行业产研项目管理经验，具备复杂项目端到端交付成功案例 3. 对敏捷开发有实际应用及理解，具备规模化敏捷实践经验 4. 流利的英语沟通能力，能作为工作语言进行文档撰写及跨国协作沟通优先 5. 卓越的风险管控与问题解决能力，兼具战略视野与落地执行力，能平衡多方诉求推动决策 6. 出色的结构化思维与数据分析能力，具备项目度量体系设计及过程改进经验 7. 抗压性强，能适应快节奏工作环境，持续驱动创新 8. 有PMP、ACP、SAFe等证书、熟练使用飞书项目工具优先。 Senior Project Manager Job Responsibilities: 1. Lead the project lifecycle management, use professional methodologies and tools to coordinate the entire process of planning, initiation, execution, monitoring, and acceptance, coordinate cross team resources, ensure efficient collaboration among stakeholders, and achieve project goals 2. Coordinate the development and dynamic maintenance of project plans, lead requirement reviews, milestone meetings, etc., establish transparent communication mechanisms, and promptly eliminate schedule deviations 3. Build a project management system, design process mechanisms based on business characteristics, promote the accumulation and standardization of best practices, and quickly establish replicable implementation paths for innovative projects 4. Establish a multidimensional measurement system, implement process monitoring and continuous improvement from both quality and efficiency dimensions, systematically identify, warn and solve project risks, and ensure satisfaction with delivery results 5. Deeply participate in the formulation of business strategies, optimize resource allocation through data insights, and promote the improvement of project management efficiency and team maturity Job requirements: 1. Bachelor's degree or above, with a background in computer science, finance, or related fields 2. More than 3 years of experience in industry research project management in the Internet/financial industry, with successful end-to-end delivery cases of complex projects 3. Have practical application and understanding of agile development, and possess experience in scaling agile practices 4. Fluent English communication skills, able to use it as a working language for document writing and cross-border collaborative communication are preferred 5. Excellent risk management and problem-solving abilities, combining strategic vision and execution capabilities, able to balance multiple demands and drive decision-making 6. Excellent structured thinking and data analysis skills, with experience in project measurement system design and process improvement 7. Strong resistance to pressure, able to adapt to fast-paced work environments, and continuously drive innovation 8. Certificates such as PMP, ACP, SAFe, and proficiency in using Feishu project tools are preferred.

Overview Are you passionate about building cutting-edge AI technologies at Microsoft? Do you get excited about designing systems that can search through hundreds of billions of documents in just milliseconds? If you have the skills and ambition to work alongside some of the brightest minds in the industry on projects that will make a lasting impact, STCA Bing Search Platform is the place for you. About the Index Serve Platform Team The Bing Index Serve team is at the heart of Bing’s search engine. We manage tens of thousands of machines and deliver backend search services for document selection and ranking at massive scale. Our technology stack spans some of the most exciting areas in computing, including: • Resource Scheduling • Distributed Object Storage Systems • Index Selection and Ranking • AI-powered Search and NLP Responsibilities As a core member of the Search Platform team, you will: • Design and implement highly scalable, low-latency, always-on services that power Bing search. • Quickly ramp up on diverse components, understand their design and functionality, and deliver impactful features. • Influence architecture and design decisions across teams, driving best practices and common patterns. • Collaborate effectively with multiple teams, demonstrating strong partnership and communication skills. Qualifications • BS/MS or PhD in Computer Science, Engineering, Mathematics, or related field. • 2+ years of programming experience in Python, C++, C#, or similar languages. • Preferred: Experience in search technologies, information retrieval, or large-scale distributed systems. • Strong Plus: Expertise in Deep Learning, especially Natural Language Processing (NLP). • Familiarity with data mining, machine learning, classification, clustering, or related areas. • Ability to think creatively and deliver innovative solutions to complex problems.

Responsibilities -Own & deliver cross-team analytics epics end-to-end (often multi-quarter):scoping, design, implementation, rollout, and adoption, with minimal oversight -Set technical direction for our analytics/BI layer(Looker+dbt+Trino/Spark) and data products; lead design reviews and establish guardrails (cost, reliability, privacy, inclusion) -Model and govern data:design stable contracts(schemas/SLAs), manage lineage, and evolve domain models that unlock self-service and performance at scale -Optimize performance & cost across engines (Trino, Spark/Databricks):plan-level analysis, join/partitioning strategies, aggregation layers, caching/materialization; set SLOs with monitoring/alerting -Raise the bar on engineering quality:testing, CI/CD, documentation, privacy/security, on-call hygiene; lead incident reviews and drive permanent fixes -Mentor & multiply:coach engineers/analysts, delegate effectively, and contribute to recruiting while holding the bar Qualifications -Education: Bachelor's degree or higher in Computer Science or a related technical field, or equivalent practical experience. -Experience: 8–12+ years in data/analytics engineering or adjacent DE/BI roles, including 5+ years owning production semantic models & transformations and 3+ years leading cross-team initiatives end-to-end -SQL & performance:Expert SQL with the ability to read/act on query plans (distributed + warehouse). Proven wins on TB-scale data (e.g., ≥2× latency reduction or ≥30% cost savings) via partitioning, file formats, pruning, aggregations, and caching/materialization -dbt at scale:Operated mid-to-large dbt projects (≈100+ models), using incremental models, tests, exposures, macros/packages, CI/CD, and data contracts; strong documentation and naming standards -Looker semantic layer:Owned LookML modeling across multiple domains; shipped governed explores/measures for 100+ users, with version control, code review, release process, and change management that enable self-service analytics - Engines & storage:Hands-on with Trino/Presto and/or Spark/Databricks (distributed plans, join strategies, partitioning, autoscaling); comfortable with Parquet/Iceberg table layouts and query-aware modeling -Reliability & governance:You set SLOs for BI/analytics surfaces, establish monitoring/alerting, manage lineage & SLAs, and run post-incidents to land permanent fixes -Leadership:Self-directed;sets technical direction for a domain, drives multi-quarter epics, mentors multiple engineers/analysts, leads design reviews, and raises the hiring/promo bar -Software fundamentals:Proficient Python and data tooling; strong testing, CI/CD, code review hygiene; privacy/security awareness -AI/LLM enablement:Experience designing or integrating AI-assisted analytics (e.g., chat-to-SQL over a semantic layer, RAG on dbt/Looker docs) with guardrails for access control/PII and an evaluation plan; can quantify adoption or ticket reduction Nice to Have -Ad-tech domain expertise(RTB auction dynamics, mediation, attribution, and LTV) -Production ops for analytics infra:GitOps (Argo CD), IaC (Terraform), Kubernetes-based data services; incident playbooks for data/BI -Streaming & CDC: Kafka/Kinesis with Flink or Spark Structured Streaming to power near-real-time analytics -JVM stack:Scala/Java for Spark jobs/UDFs or high-throughput data services -Feature/ML data interfaces: feature marts or stores (e.g., Feast), batch/online syncing, model telemetry hooks Privacy & governance at scale: row/column-level security, tokenization, policy-as-code; familiarity with GDPR/CCPA impacts -Data observability&lineage tooling:Datadog, Prometheus/Grafana, OpenLineage/DataHub/Amundsen; automated freshness/volume/uniqueness checks -Experimentation:Experience building the foundations for A/B testing-event definitions, consistent metrics, and safeguards for valid results