AI Lead

Digital Architect

Senior L&D Manager, Frontline (KSEA)

Testing QA

Technical Product Owner

AVP - Software Engineer - AI/ML systems

Associate Software Engineer - AI/ML systems

Vice President – Cloud SaaS Success

Data Engineer / Senior / Supervisor

Junior Counsel

Responsibilities: AI Solution Development:&nbsp; <ul><li>Ability to translate business problems to AI problem statement, Ability to evaluate the need of AI &amp; optimal use of AI. Design and develop Gen AI applications and AI algorithms to address complex challenges across various domains.</li></ul> Data Analysis and Interpretation:&nbsp; <ul><li>Analyze large datasets to derive actionable insights and make data-driven decisions.</li></ul> Model Training and Optimization:&nbsp; <ul><li>Finetune LLM Models with custom data, continuously improve model performance through rigorous training and optimization processes.</li></ul> Collaborative Problem-Solving:&nbsp; <ul><li>Work closely with cross-functional teams to solve pressing challenges and enhance product capabilities.</li></ul> Strategic AI Implementation:&nbsp; <ul><li>Architect and scale AI solutions across the organization, ensuring alignment with business objectives.</li></ul> Leadership and Team Development:&nbsp; <ul><li>Mentor and lead a team of AI professionals, fostering a culture of innovation and continuous learning.</li></ul> Requirements: Educational Background:&nbsp; <ul><li>Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a closely related field.</li></ul> Technical Proficiency:&nbsp; <ul><li>Strong experience in programming languages like Python, Java, or C++ and familiarity with AI frameworks such as TensorFlow or PyTorch.</li></ul> Experience:&nbsp; <ul><li>At least 8-10 years of relevant experience in developing and implementing AI solutions.</li></ul> Analytical Skills:&nbsp; <ul><li>Proficient in using advanced data analytics tools and techniques to interpret complex datasets.</li></ul> Problem-Solving Abilities:&nbsp; <ul><li>Excellent problem-solving skills to devise innovative solutions and optimize AI algorithms.</li><li>&nbsp;Advanced Degree: Masters degree in a relevant field.</li><li>Specialized Knowledge: Deep understanding in NLP techniques, supervised and unsupervised machine learning, statistical modeling, and predictive analytics.</li><li>Industry Experience: Prior experience in the airline industry, particularly in roles focused on customer experience or digital transformation.</li><li>Cloud Experience: Experience with cloud platforms such as AWS, Azure, or GCP, preferably Azure.</li><li>LLM Application Integration: Previous work experience or personal experience in integrating LLMs into production applications or building LLM powered applications using LangChain or other frameworks.</li><li>Leadership Experience: Proven track record of successfully leading AI projects and teams, ability to work across teams – cross functional , knowledge of agile delivery</li><li>Continuous Learning: Commitment to staying updated with the latest advancements in AI and machine learning."</li></ul>

Responsibilities: <ul><li>Tactical problem solving and strategic planning of the Digital infrastructure through platform technology roadmaps</li><li>You may be asked to lead or manage a small team of infrastructure architects</li><li>Clear problem and requirement identification ties to business case/value definition</li><li>Design, construct, test and implement process and technology services and systems while adhering to established standards and architecture via leading established methodologies including Agile and Waterfall</li><li>Ensure appropriate documentation is developed in support of value realization</li><li>Plans tasks and estimates the required research and volume of activities to complete work</li><li>Researches issues, develops recommendations and actively participates on project teams to develop solutions to business problems related to a broad range of business and product issues</li><li>Responsible for creating and reviewing Application Architecture for Digital Applications and provide technical leadership in the evaluation of Digital solutions to satisfy business and technical requirements</li><li>Support Solution Architects in development of solution architectures that touches Digital solutions including evaluation, selection and integration of necessary technical components</li><li>Collaborate with Delivery Manager and is able to oversee the entire project life cycle</li></ul> Requirements: <ul><li>Qualifications for a job description may include education, certification, and experience.</li><li>List any licenses or certifications required by the position: TOGAF, ITIL, CPE, AWS, ACE, MCSE, ECM, AIIM, SSL, GCP</li><li>Typically a job would require a certain level of education.</li><li>Employers hiring for the digital architect job most commonly would prefer for their future employee to have a relevant degree such as Bachelors and Masters Degree in Computer Science, Engineering, Technical, Information Technology, Education, Business, Technology, Information Systems, Software Engineering, Mathematics</li></ul>

Responsibilities: Ownership:&nbsp; <ul><li>Collaborate with business and P&amp;C leaders to set up and execute global learning and development processes (assess competence development needs, create learning methods and solutions, develop training centre and trainers, deliver, and manage training) to meet company’s short- and long-term competence goals for the business&nbsp;</li><li>Help to set global/local priorities and budget for competence development based on the company strategy and business goals, work with P&amp;C, business, and L&amp;D network to make global/local plans for competence development. Help business to define business impact and learning outcomes for competence development programs.&nbsp;</li><li>Provides consultation for P&amp;C, managers, and employees with questions about learning and development, and advise on the different learning and development approaches for business outcome and support.&nbsp;</li><li>Owns the annual Frontline Training Plans and contributes to One P&amp;C team, executes L&amp;D plans with impact together with P&amp;C community.&nbsp;</li><li>Drives local business agenda with L&amp;D expertise, challenges and concludes L&amp;D deliveries that improve business results.&nbsp;</li><li>Works closely with Cluster/FL business leaders and P&amp;C colleagues to drive L&amp;D agenda as well as consult on development. Provides L&amp;D services and delivers selected trainings for the cluster/FL.&nbsp;</li><li>Governs and consults on learning needs by broadening stakeholders’ views on what gets solved with training and what is something else.&nbsp;</li><li>Leads P&amp;C Services training coordinators for the cluster/FL to optimal efficiency and value.&nbsp;</li><li>Focuses on field training discipline, data accuracy and KPIs transparency including improvement suggestions.&nbsp;</li><li>Develops learning assets e.g., Training Centres towards full utilization &amp; impact&nbsp;</li><li>Ensures relevant learning offering and L&amp;D operational excellence across cluster/FL in sync with Area and Global L&amp;D direction.&nbsp;</li><li>Responsible for development and performance management of the L&amp;D team in the Front line.&nbsp;</li></ul> Contribute:&nbsp; <ul><li>Communicates continuously L&amp;D value, services, and operating model to all relevant cluster/FL stakeholders&nbsp;</li><li>Facilitates and promotes learner centric learning culture. Acts as a project manager for certain learning projects such as induction renewal.&nbsp;</li><li>Impacts Area and global L&amp;D by explicitly articulating cluster/FL learning needs and offering feedback.</li></ul> People leader, network management: <ul><li>Lead cluster/FL L&amp;D teams’ engagement and recognition for business relevance and learning impact with transparency and data.&nbsp;</li><li>Leads and manages internal trainer networks across the cluster/FL.&nbsp;</li></ul> Level of decision making:&nbsp; <ul><li>Responsible for L&amp;D KPIs and business metrics for cluster/FL level for non-technical and technical competence development&nbsp;</li><li>Contribute to big picture as member of Area L&amp;D Leadership Team&nbsp;</li><li>CoE Budgeting for cluster/FL (OPEX and Capex)&nbsp;</li></ul> Performance metrics:&nbsp; <ul><li>Priority learning solutions management/adoption % for cluster/FL&nbsp;</li><li>Mandatory field certifications for safety and methods in place &amp; valid for all field operatives in cluster/FL&nbsp;</li><li>External spend on training vendors &amp; venues in cluster/FL&nbsp;</li><li>Field Trainer utilization, TC utilization, learning solution reach, and NPS in cluster/FL&nbsp;</li><li>Workday Learning data quality (Learning management system) LMS&nbsp;</li><li>Global learning offering utilization vs. local offering quantity in cluster/FL&nbsp;</li><li>Internal trainer pools strength and retention in cluster/FL&nbsp;</li><li>P&amp;C Services / training coordination satisfaction for cluster/FL</li></ul> Requirements: <ul><li>Master’s degree in human resources, education, or related field&nbsp;</li><li>10+ years of experience in learning and development, including designing, implementing, and evaluating training programs, preferably in multinational company.&nbsp;</li><li>Experienced in managing learning needs and priorities through business partnering and data analysis.&nbsp;</li><li>Good leadership and influencing skills.&nbsp;</li><li>Proven experience in managing and leading a team of learning professionals.&nbsp;</li><li>Proven facilitation and team coaching skills&nbsp;</li><li>Excellent business communication and interpersonal skills with the ability to interact effectively with stakeholders &amp; employees at all levels of the organization.&nbsp;</li><li>Ability to identify competence development needs and translate the needs into competence development plans for various functions and units.&nbsp;</li><li>Experience and ability to facilitate workshops / planning meetings with various stakeholders.&nbsp;</li><li>Ability to plan and manage initiatives effectively&nbsp;</li></ul>

The Role: <ul><li>Responsible for testing applications to meet business process and application requirements. Your typical day will involve working on functional test planning and ensuring the quality of the application.</li></ul> Responsibilities: <ul><li>Develop and execute functional test plans for applications to ensure the quality of the application.</li><li>Collaborate with cross-functional teams to test applications to meet business process and application requirements.</li><li>Identify and troubleshoot application issues, working with the development team to resolve them.</li><li>Ensure the application meets the required standards.</li></ul> Requirements: <ul><li>Min 3 years of Experience in functional test planning.</li><li>Experience in software development and programming languages such as Java or Python</li><li>Strong understanding of software development life cycle (SDLC) and Agile methodologies.</li><li>Experience with Azure DevOps tool for managing tests and bugs.</li></ul>

The Role:Our Product team is seeking a Technical Product Owner with a passion for innovation and a dedication to delivering high-quality, differentiated data solutions within our clients integrated risk platform. At the core of our client's mission is the commitment to building a productive, safe, and sustainable world through innovative products and services. By seamlessly integrating domain expertise, data, and design, we tackle our customers' most pressing challenges, delivering solutions that make a difference every day.Are you driven to address complex analytics challenges in risk and compliance? Are you eager to collaborate with leading domain experts to overcome the data obstacles our customers encounter as they strive to decarbonize their operations? Are you passionate about developing actionable insights that enhance workplace safety?Responsibilities:You will collaborate closely with the Product Manager to lead the strategic development of the data platform roadmap, ensuring it is fully aligned with the company's overarching objectives.Cultivate strong partnerships with stakeholders across multidisciplinary engineering teams and departments, gathering critical requirements and designing innovative solutions.Utilize your deep expertise in data engineering to align technical capabilities seamlessly with business objectives.Take full ownership of the backlog for the data platform, prioritizing and managing it to ensure that all deliverables are strategically aligned and executed effectively.Develop detailed user stories and facilitate backlog refinement sessions to guarantee clear communication and alignment within the team.Maintain a strong grasp of emerging technology trends and developments, offering informed recommendations to elevate the platform's technical capabilities.Champion an agile mindset that extends beyond traditional frameworks, fostering an environment where engineering and product teams are empowered and operate autonomously.Leverage your experience within technical organizations to make strategic decisions regarding build-versus-buy scenarios.Contribute to the maintenance of comprehensive product and technical documentation, ensuring clarity and accessibility for both internal and external stakeholders.Requirements:University degree in Computer Science, Mathematics, Physics, or a related area Deep interest in Product Management, ideally with at least 2+ year experience working as a Technical Product Manager and/or Product Owner. Data engineering background with at least 3+ years working as a Software Engineer and/or Data EngineerExcellent communication skills, with the ability to understand stakeholder requirements clearly and translate this to the technical teams. Ideally, experience working with Azure Services and big data frameworks/tools.Solid understanding of how to build a modern and scalable big data systems.Has user-centric design mindset.Is comfortable working in an agile environment.Strong interpersonal and communication skills.Adaptable to an ever-changing development environment.Strong work ethic & high degree of integrity.

Responsibilities:Design and build the next generation of the world's best investment management technology platform, focusing on managing various investment lifecycle processes and investment research.Integrate new AI services across the platform and Aladdin application ecosystem. Refine business and functional requirements and translate them into scalable technical designs.Collaborate with product engineering teams to implement comprehensive AI/ML-based solutions from start to finish.Apply quality software engineering practices throughout the software development lifecycle.Optimize the software delivery and workflow of the team. Work with team members in a multi-office, multi-country environment.Requirements:B.S./M.S. degree in Computer Science, Engineering, or a related subject area with 2+ years of proven experience, or equivalent experience, for Associate positions and 4+ years, or equivalent experience, for Vice President.Proficiency and hands-on experience in object-oriented programming with Java and Python.Proficiency in designing and building scalable APIs and Microservices.Experience with cloud platforms such as Azure (Preferred), AWS, or GCP.Ability to reverse engineering existing applications.Grit in the face of technical obstacles Experience working in Agile development teams with excellent collaboration skills.

Responsibilities:Strategizing cloud product launches and all related aspects to that from Branding & sales perspectiveReporting on sales activity and forecast to company's leadership teamPartner/Customer Management as the case may be, towards enhancing trust and reputationMeet and exceed quarterly and annual sales targetsOngoing coaching and development of sales, marketing, and branding teamsMaking logical launch plans after thoughtful analysis of market gap and competition dynamicsTo be overall responsible for the sales efforts of all/select cloud products of the CompanyRequirements:Experience in launching new cloud enterprise products in developing and developed marketsMinimum 10 years of cloud product sales experience with a new business focusProven track record of success in similar enterprise software product companyExperience of strategizing digital marketing plans for enterprise software productsExperience in operating with small and expandable sales teamsSmart in judging customer experience and bringing out product/process improvements for ideation Must have qualities:The ideal candidate is dynamic, humble, and highly person-oriented.  A strategic thinker who can drive the team passionately with the highest motivationA person who can bestow the personal touch along with our inherent corporate cultureAn internationally exposed market thinker, doer, and accomplisherPassionate about building global markets for new entrant productsSincere, dedicated, energetic and creative in problem-solving

Role Description:The Data Engineering Senior Supervisor will lead a small team of data engineering professionals to design, build and operate high performance data centric products or solutions through the use of modern engineering practices and technologies.In this role, you will provide guidance to ensure the delivered data centric products or solutions are scalable, sustainable and robust.You will also lead team development and cross team relationships and delivery to advance the company's engineering delivery.Responsibilities:Lead a local or regional team of engineering professionals that design, develop, deploy and enhance new and existing data centric products or solutions through the use of modern platforms and technologies.Provide routine inputs and guidance to the data engineering team on business requirements analysis, technical specification's preparation, product delivery, testing and operation to support businesses strategic direction.Coach engineers, share relevant technical approaches, identify new trends, modern skills and present new methodologies within the data engineering community.Lead and develop a team, coach and make decisions related to talent management, hiring, performance, and disciplinary actions.Other duties as assignedRequirements:Minimum QualificationsBachelor's degree in a related field or equivalent experience.Minimum of four years of related work experience.Minimum of two years leading a team of Data Engineers.Preferred QualificationsConfirmed data engineering experience with data storage and management of large, heterogenous datasets, including formats, structures, and cataloging with such tools as Iceberg, Parquet, Avro, ORC, S3, HFDS, HIVE, Kudu or others.Experience leading Big Data engineering teams working in environments such as Hadoop and SparkExperience leading technology strategies with cloud Platforms including AWS, GCP or AzureExperience leading engineering teams working in streaming and stream integration or middleware platforms, tools, and architectures such as Kafka, Flink, JMS, or Kinesis.Confirmed knowledge of best practice patterns and how to apply them to modern data architectures, including data warehouses, data lakes, data mesh, hubs and associated capabilities including ingestion, governance, modeling, observability and more.Experience leveraging transformation and modeling tools, including SQL based transformation frameworks, orchestration and quality frameworks including dbt, Apache Nifi, Talend, AWS Glue, Airflow, Dagster, Great Expectations, Oozie and others.Strong programming knowledge of SQL, Python, R, Java, Scala or equivalent.Proficiency in engineering tooling including docker, git, and container orchestration services.Strong experience leading devops teams with demonstratable understanding of associated best practices for code management, continuous integration, and deployment strategies.Experience and knowledge of data governance considerations including quality, privacy, security associated implications for data product development and consumption.A passion for quality and continuous improvement with an owners mindset.Ability to work effectively as part of a team, group and cultureAbility to navigate ambiguity and work in agile ways.

Responsibilities: <ul><li>This role supports the Legal &amp; Privacy Head’s daily functions and is a strong ambassador to the trusted ‘gate-keeper’ objectives across sales, marketing, operations, purchasing and other business stakeholders.&nbsp;</li><li>The activities include handling the day-to-day legal team administration linked to business needs.</li><li>Co-ordinate the roll-out of legal / compliance training across all regional hub offices with key focus across commercial, purchasing, and regulatory forms related to the distribution of consumer goods globally in Chinese and English.&nbsp;</li><li>Knowledge of the travel retail distribution channel an advantage.</li><li>Multi-task and be organised across various delegations, ‘ad-hoc’ administrative tasks and assignments.</li><li>Take part in developing internal control initiatives whilst anticipating legal and reputational risks, actively listening, reviewing, and drafting forms, as required.</li><li>Develop and roll-out contract life cycle processes with company stakeholders to finalise forms externally.&nbsp;</li><li>Constructively challenging the status-quo and breaking barriers for effective ‘ways-of-working’.</li><li>Facilitate various projects through the co-ordination, drafting forms and checking thoroughly the processes for compliance.</li><li>Have attention to detail with a proven ability to optimise limited business resources, work collaboratively with different cultures and adapt to agile ways-of-working.</li></ul>&nbsp;Requirements: <ul><li>2 to 4 years of work experience with relevant university qualifications in Law.&nbsp;</li><li>Additional qualifications in business, political science, tax, compliance, languages and communications, will be highly regarded.</li><li>Mandarin Chinese (written + spoken, preferably) to assist in China Hub local form review and staff training.</li><li>Detail-oriented, self-starter and comfortable working independently (in a small team setting) with relevant private practice training and in-house work experience, having proven stakeholder management with a ‘can-do’ mindset.</li><li>Strong awareness and interest in the business of luxury and FMCG brands. Has an entrepreneurial mindset with curiosity across all aspects of B-2-B retail and the end-consumer journeys. Knowledge of the digital marketing and social platform space (i.e., AliPay, Douyin, WeChat, Weibo, Ctrip, etc.) is an advantage.</li><li>Displaying strong awareness over legal issues and curiosity on global consumer trends in the Asia-Pacific region (i.e., digital retail, data-privacy protections, competition, bribery/corruption, customs/trade, etc.).</li><li>Direct mentorship opportunities from daily business interactions across the organisation as well as continuous professional development offered on various topics (i.e., business, soft-skills, etc.)</li></ul>

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63 agile coaching Jobs found

AI Lead

Digital Architect

Senior L&D Manager, Frontline (KSEA)

Testing QA

Technical Product Owner

AVP - Software Engineer - AI/ML systems

Associate Software Engineer - AI/ML systems

Vice President – Cloud SaaS Success

Data Engineer / Senior / Supervisor

Junior Counsel

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63 agile coaching Jobs found

AI Lead

Digital Architect

Senior L&D Manager, Frontline (KSEA)

Testing QA

Technical Product Owner

AVP - Software Engineer - AI/ML systems

Associate Software Engineer - AI/ML systems

Vice President – Cloud SaaS Success

Data Engineer / Senior / Supervisor

Junior Counsel

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

EMPLOYER

TALENT

COMPANY

Contact Us

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WhiteCrow
WhiteCrow is on a mission to connect companies with the best talent across the globe.