BI & Data Manager

Strategic Sourcing Analyst III

Consultant, Data Analytics & Reporting-Food

Global Director FP&A

Senior Talent Acquisition Specialist

Forward Deployed AI Strategist

SAP Lead

VP Security Engineer (AS400)

Supplier Compliance & Rick Program Analyst

Senior Software Engineer AI

Responsibilities: Data Engineering &amp; Platform Development: <ul><li>Design, build and optimise enterprise data platforms using Microsoft Fabric (Lakehouse, Data Factory, Warehouse and Real-Time Analytics).</li><li>Develop scalable ETL/ELT pipelines supporting both batch and real-time data processing.</li><li>Optimise data storage, transformation and query performance across enterprise platforms.</li><li>Build reusable semantic models and scalable data products supporting enterprise analytics.</li></ul> Business Intelligence &amp; Analytics: <ul><li>Develop enterprise reporting and dashboard solutions using Power BI, Power Query, SQL and DAX.</li><li>Translate complex business requirements into scalable technical data solutions.</li><li>Enable self-service analytics while maintaining strong governance and platform performance.</li><li>Leverage Python where required for advanced analytics and data manipulation.</li></ul> Data Architecture &amp; Governance: <ul><li>Design scalable enterprise data models using modern architecture principles.</li><li>Drive enterprise-wide data governance, master data management, and data quality initiatives.</li><li>Implement data lineage, cataloguing, security, and regulatory compliance standards.</li><li>Establish best practices around data standards, access control, and governance.</li></ul> Technical Leadership: <ul><li>Lead and mentor a team of BI Developers and Data Engineers while remaining hands-on.</li><li>Own end-to-end delivery of enterprise data solutions from design through deployment and optimisation.</li><li>Conduct technical reviews and establish engineering best practices.</li><li>Collaborate closely with IT, Manufacturing, Operations, and business stakeholders to deliver scalable enterprise solutions.</li></ul> Requiremnents: <ul><li>8+ years of experience in Data Engineering, Enterprise Data Platforms or Business Intelligence.</li><li>Strong hands-on expertise with Microsoft Fabric (mandatory).</li><li>Proven experience working with SAP CDS Views, ideally within SAP S/4HANA environments (mandatory).</li><li>Experience integrating SAP with Manufacturing Execution Systems (MES) and other enterprise applications.</li><li>Strong manufacturing industry experience.</li><li>Advanced SQL, data modelling, and Power BI expertise.</li><li>Experience with Azure-based data platforms and modern Data Engineering practices.</li><li>Experience leading technical teams while remaining actively involved in solution design and development.</li><li>Excellent stakeholder management, communication, and problem-solving skills.</li></ul>

Responsibilities: <ul><li>Focal point of all supply chain initiatives associated with NPD for assigned product lines.</li><li>Develop &amp; implement all integrated supply chain activities for New Product Introduction.&nbsp;</li><li>Fully understand new project background information, including project footprint plan, project commercial information in terms of sample/ramp up/MP schedule and cost target, BOM components technical requirement and etc.&nbsp;</li><li>Develop strategic vision for supply base at conception phase of new products.</li><li>Improve time to market including quotation and sampling activities, driving material standardization,&nbsp;</li><li>Arrange RFQ, analyze and organize SSR meeting to award business based on cost, lead time, core competency, and location.</li><li>Ensure vendor quoted costs meet BOM cost Landing Zone targets. Work with commodity management team and should cost team to achieve the target.</li><li>Design first-time-right supply chains for new products / platforms during development phase</li><li>Promote Dual Source and Localization in new project phase.&nbsp;</li><li>Work with commodity management to leverage supplier capabilities and improve collaboration among company and supply base</li><li>Improve overall service from Procurement to Internal customer e.g. project managers and project core team members.&nbsp;</li><li>Provide strong support for company manufacturing plant(s) for NPI.&nbsp;</li><li>Holds Voice of Customer Sessions with internal customers and utilizes feedback to improve team performance and supply base service.&nbsp;</li><li>Complete special projects as directed by regional or global management.</li></ul> Requirements: <ul><li>6+ years’ experience in NPD Sourcing or project management role.</li><li>Proven Experience in New Product Introduction as a sourcing analyst in a global company is preferred</li><li>Experience in sourcing mechanical components such as stamping, molding, diecasting, machining, and electronics components such as PCB, PCBA, cable. Technical understanding of these commodities is required.</li><li>Education: Bachelor level degree in Business, Supply Chain, Sourcing/ Procurement or related field. Advanced degree a plus.</li><li>Strong communication skills both written and verbal English.</li><li>Self-motivated individual with a positive attitude, able to work well with international teams and individuals.</li><li>Strong analytical skills, comprehensive and logic thinking.&nbsp;</li><li>Demonstrated negotiation skills.</li><li>Proficient in MS office suite; advanced Excel, Power point.</li><li>Lean PD experience is a plus.</li><li>Previous SAP experience or training a plus.</li></ul>

Responsibilities: <ul><li>Data Analysis: Collects, transforms, and analyzes data from multiple sources to identify trends, patterns, anomalies, and actionable insights that support reporting, performance tracking, and decision making.</li><li>Reporting &amp; Visualization: Implements detailed reports and dashboards using various tools, designs and completes data visualizations to communicate moderately complex data clearly.</li><li>Data Modeling &amp; Automation: Supports data models, reporting logic, and workflow automation, while identifying and implementing opportunities to improve data collection and reporting processes using standard data management and reporting practices.</li><li>Advanced Analytics Awareness: Familiarity with predictive analytics, AI/ML, and data science concepts to support evolving analytics solutions.</li><li>Data Quality &amp; Requirement Support: Validates data, supports reporting requirements, and helps ensure the accuracy and consistency of analytics solutions.</li></ul> Requirements: <ul><li>Bachelor’s degree in a related field such as Data Science, Statistics, Computer Science, Business Analytics, or a related discipline, or equivalent practical experience.&nbsp;</li><li>Minimum of 3-4 years of relevant work experience in data analytics, reporting, or business intelligence roles.</li><li>Strong skills in analyzing data and translating reporting needs into effective analytics solutions and insights.</li><li>Very strong skills in Power BI and data visualization.</li><li>Proficiency in SQL, Excel, Power Query, and related tools such as VBA or Python for analysis, modelling, and visualization.</li><li>Working knowledge of data warehousing, data lakes, and cloud data platforms such as Snowflake or AWS.</li><li>Experience automating workflows and building low-code solutions using Power Platform tools such as Power Automate and Power Apps.</li><li>Familiarity with (predictive) analytics, AI/ML and data science.</li><li>Business understanding and financial acumen to interpret data and generate practical insights.</li><li>Comfortable working in agile ways of working, managing multiple priorities, and contributing effectively both independently and in a team environment.</li></ul>

Role Description: <ul><li>We are partnering with a leading global manufacturing organization to appoint a Global Director, Financial Planning &amp; Analysis (FP&amp;A).</li><li>Reporting directly to the CFO, this is a strategic leadership role responsible for driving financial planning, business performance, commercial insights, and business intelligence across a global footprint.</li><li>The successful candidate will play a pivotal role in supporting executive decision-making, leading FP&amp;A activities, enhancing business intelligence capabilities, and partnering with senior leadership to drive sustainable business growth.</li></ul> Responsibilities: Financial Planning &amp; Performance Management <ul><li>Lead the Groups annual budgeting, forecasting, and long-term planning processes.</li><li>Develop robust financial models and scenario planning to support strategic decision-making.</li><li>Partner with senior leadership to establish financial objectives, KPIs, and multi-year operating plans.</li><li>Deliver timely, accurate and insightful financial analysis to support commercial and operational decision-making.</li><li>Monitor business performance and identify opportunities to improve profitability and operational efficiency.</li></ul> Executive Reporting &amp; Business Partnering <ul><li>Prepare executive-level financial reports and presentations for senior leadership, Board members, investors and lenders.</li><li>Lead monthly business performance reviews and provide actionable insights on financial performance, risks and opportunities.</li><li>Partner closely with Commercial, Operations, Supply Chain and other functional teams to support business performance and strategic initiatives.</li><li>Build strong cross-functional relationships and influence decision-making across the organisation.</li></ul> Strategic Projects <ul><li>Support key strategic initiatives including M&amp;A, investments and corporate development projects.</li><li>Conduct financial analysis and scenario modelling to support investment decisions.</li><li>Contribute to organisation-wide strategic planning and transformation initiatives.</li></ul> Business Intelligence &amp; Finance Transformation <ul><li>Lead the Business Intelligence function and drive improvements in reporting, analytics and data accessibility.</li><li>Champion automation, AI-enabled reporting and continuous improvement initiatives across Finance.</li><li>Partner with IT and business stakeholders to improve data governance, reporting capabilities and financial systems.</li><li>Drive the adoption and optimisation of SAP and integrated reporting platforms.</li></ul> Leadership <ul><li>Lead, coach and develop a high-performing team of Finance Business Partners and Business Intelligence professionals.</li><li>Foster a culture of collaboration, continuous improvement and data-driven decision-making.</li><li>Build organisational capability across financial analysis, business partnering and digital finance.</li></ul> Requirements: Essential Experience <ul><li>Professional Accounting qualification (ACA, ACCA, CPA, CIMA or equivalent).</li><li>Minimum 15 years of Finance experience with at least 10 years in senior leadership positions.</li><li>Demonstrated expertise in Financial Planning &amp; Analysis within a multinational organisation.</li><li>Strong background in manufacturing finance, including standard costing.</li><li>Experience leading regional or global finance teams.</li><li>Proven experience in executive-level business partnering and stakeholder management.</li><li>Exposure to Board reporting, investor presentations and executive financial reporting.</li><li>Experience driving strategic finance initiatives and organisational performance improvements.</li></ul> Preferred Experience <ul><li>Business Intelligence leadership experience.</li><li>Finance transformation and process improvement experience.</li><li>Exposure to M&amp;A, investments or corporate development activities.</li><li>Experience working with SAP and modern reporting platforms such as Power BI.</li><li>Experience leading data governance, reporting automation or AI-enabled finance initiatives.</li></ul> Skills &amp; Competencies <ul><li>Strong commercial and business acumen.</li><li>Exceptional analytical and problem-solving abilities.</li><li>Excellent communication and presentation skills.</li><li>Ability to influence and challenge senior stakeholders constructively.</li><li>Strategic mindset with the ability to translate complex financial information into actionable business insights.</li><li>Proven leadership capabilities with experience developing high-performing teams.</li><li>Strong project management and change management skills.</li></ul>

Responsibilities: End-to-End Recruitment: <ul><li>Manage full recruitment lifecycle: sourcing, screening, interviewing, offer negotiation, and closing&nbsp;</li><li>Handle multiple concurrent requisitions across different functions and seniority levels&nbsp;</li><li>Deliver high-quality hires within tight timelines&nbsp;</li></ul> Agency-Style Sourcing Excellence: <ul><li>Proactively source passive candidates via LinkedIn Recruiter (must-have)&nbsp;</li><li>Utilize additional sourcing channels such as databases, referrals, and direct outreach&nbsp;</li><li>Experience with China platforms (51job, Liepin, SEEK) is a strong plus but not required&nbsp;</li><li>Conduct market mapping, competitor analysis, and talent pipelining for key roles&nbsp;</li></ul> Stakeholder Management: <ul><li>Partner closely with hiring managers and HR across global teams&nbsp;</li><li>Translate hiring needs into actionable sourcing strategies&nbsp;</li><li>Provide insights on talent availability, compensation benchmarks, and market trends&nbsp;</li></ul> Candidate Management &amp; Offer Closing: <ul><li>Manage end-to-end candidate experience from engagement to offer acceptance&nbsp;</li><li>Drive offer negotiation and improve conversion rates&nbsp;</li><li>Maintain strong candidate engagement throughout the process&nbsp;</li></ul> Delivery &amp; Performance Focus: <ul><li>Work against hiring targets, SLAs, and priority requisitions&nbsp;</li><li>Maintain strong pipeline health and role visibility&nbsp;</li><li>Ensure fast execution in a high-volume, fast-paced environment&nbsp;</li></ul> Fully Remote Collaboration: <ul><li>Operate independently in a fully remote setup (Taiwan-based)&nbsp;</li><li>Work across time zones with global stakeholders&nbsp;</li><li>Use ATS, Teams, Outlook and other collaboration tools effectively&nbsp;</li></ul> Requirements: <ul><li>5–8+ years of recruitment experience&nbsp;</li><li>Strong agency / executive search background strongly preferred&nbsp;</li><li>Proven experience handling multiple requisitions in fast-paced environments&nbsp;</li><li>Experience recruiting mid-to-senior level roles&nbsp;</li><li>Fluent Mandarin &amp; English proficiency&nbsp;</li><li>Strong proficiency in LinkedIn Recruiter&nbsp;</li><li>Strong sourcing and headhunting capability (agency-standard expected)&nbsp;</li><li>Excellent stakeholder management and influencing skills&nbsp;</li><li>Strong negotiation and offer closing ability&nbsp;</li><li>High execution speed and prioritization ability&nbsp;</li></ul>

Role Description: <ul><li>The Strategy team is looking for a hands-on AI-enabled strategy and market intelligence professional to materially accelerate the way we conduct deep research, market intelligence, analytical modeling, and GTM analysis by applying high impact AI workflows and translating them into sharper strategic decisions.</li><li>The individual will partner with business, product, commercial, and tech teams to translate ambiguous questions into actionable insights, while developing and scaling AI-enabled solutions that improve strategic decision-making and drive measurable business impact.&nbsp;</li><li>The individual is expected to work in close partnership with our client IT team, to leverage existing AI &amp; data capabilities on Databricks &amp; AWS (where applicable) while developing solutions.</li></ul> Responsibilities: Strategic problem solving and driving cross-functional execution&nbsp; <ul><li>Translate AI-assisted analyses into practical executive decisions by applying strong business judgment, rigorous validation protocols, and a sharp “so-what” orientation</li><li>Collaborate with and influence senior stakeholders across strategy, sales, technology teams, and P&amp;L owners</li><li>Good first-principles and problem-solving capabilities with the ability to build and test strategic hypotheses Identifying meaningful opportunities to leverage AI and deploying scaled AI solutions at pace</li></ul> Identify, assess, and prioritize high-value AI and automation opportunities by translating business challenges into scalable, practical solutions&nbsp; <ul><li>Design proprietary AI-enabled workflows, agents, and accelerators for recurring strategy activities (competitor monitoring, earnings call tracking, tariff and regulatory intelligence, voice-of-customer mining etc.)</li><li>Build reusable templates, workflows, and modules to drive adoption and embed AI capabilities into strategy processes</li></ul> Executing rapid AI-augmented research and competitive intelligence&nbsp; <ul><li>Lead AI-augmented research using tools like Claude, OpenAI, Perplexity, AlphaSense, CapIQ etc. to deliver source-triangulated competitive and industry insights</li><li>Synthesize structured datasets (S&amp;P Capital IQ, Bloomberg, IDC, Gartner) and unstructured sources (10-Ks, analyst reports, expert interviews) – to generate and validate AI-assisted outputs</li></ul> Support strategy team in day-to-day execution by leveraging AI-led tools <ul><li>Lead AI-enabled market sizing, opportunity mapping, and TAM/SAM/PAM modelling</li><li>Accelerate financial modelling – scenario and sensitivity analyses, valuation, NPV/IRR, segment P&amp;Ls, pricing</li><li>Support M&amp;A pipeline by AI-screening targets and generating investment theses</li></ul> AI enablement, coaching and continuous innovation <ul><li>Coach strategy team members on prompting techniques, research workflows, and AI-fluent execution</li><li>Scale AI adoption across Corporate Strategy through hands-on mentorship of beginner users</li><li>Stay current on agentic stacks, multimodal models, and deep research agents</li></ul> Requirements: Skillset and capabilities AI fluency and hands-on deployment orientation&nbsp; <ul><li>Working knowledge of GenAI patterns – LLM capabilities/limitations, prompt design, etc.</li><li>Proven ability to convert business problems into reusable AI workflows, tools, or accelerators</li><li>Builder mindset with experience prototyping AI solutions using frontier tools &amp; low-code platforms</li></ul> Analytics, modelling, and research excellence <ul><li>Strong modelling skills across TAM/SAM/PAM, scenarios, sensitivities, NPV/IRR, valuation etc.</li><li>Ability to synthesize structured datasets with unstructured sources</li><li>Research discipline – source triangulation and rigorous validation of AI outputs</li></ul> Strategic problem solving, communication, executive presence, and influence&nbsp; <ul><li>Sharp "so-what" orientation to translate AI outputs into practical executive decisions</li><li>Crisp written and verbal communication, with ability to frame board-ready narratives</li><li>Skill in explaining AI workflows and implications to both technical and non-technical audiences</li><li>Stakeholder management across strategy, commercial, data, and technology teams</li></ul> Ownership, and execution <ul><li>Independently own workstreams end-to-end – from framing through deployment</li><li>High bar for quality; never publishes unchecked AI outputs or unvalidated analysis</li></ul> Coaching and capability building&nbsp; <ul><li>Patience and ability to coach colleagues on prompting, research workflows, and source validation</li><li>Track record of building reusable playbooks – templates and training modules that scale adoption</li></ul> Passion, curiosity, and learning agility <ul><li>Deep passion for AI, tech, and industrial innovation, with curiosity to stay current on frontier tools</li><li>Entrepreneurial ownership mindset and drive to build a new AI-enabled strategy capability</li></ul> Qualifications:&nbsp; <ul><li>BE / B-Tech in Computer Science Engineering, Data Science or a related analytical field required; MBA, MS, M-Tech or equivalent advanced degree strongly preferred.</li><li>3–4+ years of experience in AI transformation, analytics, or AI-enabled business building. Prior Forward Deployed Engineer / Solutions Architect / Senior Data Scientist background preferred.</li><li>Experience in a top-tier strategy consulting firm, AI-native consulting team, analytics firm or corporate / product strategy team role strongly preferred.</li><li>Demonstrated experience building or deploying 0–1 AI solutions (not just experimenting), GenAI, analytics, automation, or workflow solutions in a business environment required.</li><li>Proficiency in Excel and PowerPoint required; Python or equivalent scripting capability strongly preferred. Experience with DevOps, CI/CD pipelines, and infra as code (e.g., Jenkins, Docker, Kubernetes) required.</li><li>Proficient in implementing AI platforms like AWS Bedrock, LangGraph, Crew AI, Glean etc.</li><li>Knowledge of enterprise data environments (esp. SAP, Databricks) or cloud platforms (esp. AWS) is a plus. Experience integrating AI systems with enterprise data platforms required.</li><li>Experience with LLM-powered solutions, RAG systems, agentic workflows, AI research tools, or AI-enabled knowledge manage</li></ul>

Responsibilities: <ul><li>Lead and manage the SAP support team responsible for supporting global manufacturing operations.</li><li>Act as the key interface between business stakeholders, SAP functional teams, and external partners.</li><li>Drive post-go-live stabilization, continuous improvement, and process optimization initiatives across the SAP landscape.</li><li>Provide cross-functional oversight across SAP FICO, MM, PP, SD, and Security modules.</li><li>Ensure effective issue resolution and support delivery for business-critical processes.</li><li>Partner with regional and global stakeholders to understand business requirements and translate them into SAP solutions.</li><li>Support enhancement initiatives and contribute to process standardization across multiple sites.</li><li>Guide and mentor SAP Business Analysts while fostering collaboration and knowledge sharing within the team.</li><li>Monitor support performance and ensure service levels are maintained.</li><li>Contribute to the long-term SAP roadmap and help shape the SAP operating model.</li></ul> Requirements: <ul><li>Bachelors degree in Information Technology, Computer Science, Business Administration, or a related discipline.</li><li>Strong functional expertise in SAP, with preference for candidates possessing a FICO background.</li><li>Broad understanding of end-to-end business processes and cross-functional integration across MM, PP, SD, and Security.</li><li>Experience supporting SAP S/4HANA environments.</li><li>Hands-on experience in SAP implementation, rollout, or post-go-live support projects.</li><li>Strong understanding of manufacturing business processes and experience supporting manufacturing environments.</li><li>Ability to perform functional analysis, configuration, testing, and issue resolution.</li><li>Proven experience leading, mentoring, or managing SAP teams.</li><li>Strong stakeholder management and business partnering capabilities.</li><li>Experience working in regional or global environments with multiple business units or sites.</li><li>Excellent communication, analytical, and problem-solving skills.</li><li>Ability to operate effectively in a fast-paced and collaborative environment.</li><li>Preferred Qualifications</li><li>Experience in SAP S/4HANA Public Cloud environments.</li><li>Exposure to manufacturing system integrations and third-party applications.</li><li>Experience in establishing or supporting SAP Centres of Excellence or shared service environments.</li><li>SAP certification(s) would be advantageous.</li><li>Experience supporting global template environments and process standardization initiatives.</li></ul>

Responsibilities: <ul><li>Design, develop, deploy, maintain, and enhance infrastructure security capabilities for AS400 and Mainframe platforms.</li><li>Support day-to-day operations of the bank’s security suite of products with a focus on AS400 and Mainframe.</li><li>Manage and execute security related change requests related to AS400 and Mainframe systems.</li><li>Develop and maintain documentation including Security Standards, Access Control Baselines, and operational processes.</li><li>Identify and implement automation opportunities for AS400 System &amp; Security Administration.</li><li>Collaborate with Business and Systems Services teams to align infrastructure and application requirements with GIS-managed security solutions.</li><li>Provide production support and monitoring to ensure control efficacy and solution reliability.</li><li>Conduct product research, define requirements, and perform technical Proof of Concept for new security initiatives.</li><li>Contribute to the development and maintenance of AS400 security policies, standards, and procedures to ensure regulatory compliance and alignment with industry best practices.</li><li>Respond to audit and regulatory requests with timely and accurate information.</li></ul> Requirements: <ul><li>Diploma/Degree in Engineering/Computer Science/IT/Cyber Security from a recognized education institution</li><li>Professional security related qualifications (e.g., CISSP, CISA, CISM, etc.) will be favorable although not mandatory</li><li>At least 5 years of relevant experience in performing AS400 Security Administration and/or management of AS400 Application systems, with strong analytical and problem solving skills</li><li>Experience in managing projects (preferably AS400 related projects)</li><li>Hands on experience with AS400-related programming languages</li><li>Proven experience leading relevant security programs in large organizations</li><li>Strong understanding of regulatory requirements such as MAS TRM, PCI DSS, etc.</li></ul>

Responsibilities: Supplier Engagement: <ul><li>Educate suppliers on compliance requirements and conduct training for procurement teams, BU compliance teams, and suppliers.</li><li>Identify root causes of non-compliance and support development of sustainable remediation plans.</li><li>Engage and support effectively with suppliers and business units to drive remediation.</li><li>Support suppliers in developing effective policies and procedures to mitigate supply chain risks.</li><li>Support for supplier capacity building as required.</li><li>Manage ESG incidents, initiatives, and reporting for public-facing and statutory needs (e.g., responsibility reports).</li><li>Drive upstream prevention, mitigation, and capacity building, as well as downstream remediation and exit strategies.</li><li>Supports process documentation and systems management</li></ul> Program Governance: <ul><li>Support in the development and documentation processes for Supplier Compliance &amp; Risk program manual (includes Standard Work Instructions).</li><li>Analyse compliance data and prepare performance reports/scorecards for stakeholders.</li><li>Maintain organization SharePoints and manage subscribed digital platforms to keep data and scorecards current.</li></ul> Compliance Management: <ul><li>Escalate critical findings and ensure closure of remediations activities.</li><li>Support management of ESG Incidents as they arise.</li></ul> Requirements: <ul><li>Global experience in manufacturing, semiconductor, and/or electronics industries.</li><li>10–12 years of core experience in supply chain and supplier-focused roles.</li><li>Strong understanding of Supply Chain Compliance, including strategic alignment, operational modelling, process optimization, and data analytics.</li><li>Expertise in supplier relations, auditing, and capacity-building training.</li><li>Knowledge of supplier code of conduct requirements and experience with programs like Responsible Business Alliance (RBA).</li><li>Proven program management, people management, and stakeholder engagement skills.</li></ul>

Responsibilities: Design &amp; Build/Development &amp; Support <ul><li>Develop multi-agent workflow automation patterns using Agentic AI</li><li>Process redesign and mapping to agentic workflow patterns</li><li>Architect scalable micro-services that wrap LLM/RAG/Agent workflows (Python).</li><li>Implement robust prompt-engineering patterns, retrieval pipelines, and caching for AI Assistants and AI Agents</li><li>Profile inference latency, GPU/CPU utilization, and memory</li><li>Writes and maintains highly complex unit tests and integration tests, and performs debugging to maintain the quality and performance of the software/AI solutions</li><li>Lead bug-fix, security-patch, and performance-tuning sprints for live AI Assistants and AI Agents</li><li>Leads the establishment and maintenance of comprehensive documentation for agents, applications, deployment processes and system configurations.</li></ul> Operational Excellence&nbsp;<ul><li>Own on-call runbooks, SLOs, and incident reviews; embed observability</li><li>Leads and mentors technical support and troubleshooting for highly complex issues with deployed applications to ensure minimal downtime and fast resolution.&nbsp;</li></ul> Collaboration &amp; Leadership <ul><li>Leads cross functional team of engineers to gather requirements and deliver solutions that meet business needs.</li><li>Experience working within product and agile delivery frameworks including backlog management and cross-functionality delivery and full E2E engineering.&nbsp;</li><li>Experience with enterprise architecture, data governance, or security standards in the context of digital solution delivery as part of E2E engineering and solution architecture.&nbsp;</li></ul> Capability &amp; Technology Stack Exposure <ul><li>Experience with digital technologies in the commercial &amp; sales management capability (e.g. Salesforce, Service Cloud, CPQ, Salesloft, ChatGPT or similar platforms)&nbsp;</li></ul> Requirements: <ul><li>Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience.&nbsp;</li><li>Typically reflects 4 years or more with 3+ years of cloud-native AI/ML or GenAI systems (Azure, AWS, or GCP) or 2+ years of software development.&nbsp;</li></ul>

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54 cloud ml platforms Jobs found

BI & Data Manager

Strategic Sourcing Analyst III

Consultant, Data Analytics & Reporting-Food

Global Director FP&A

Senior Talent Acquisition Specialist

Forward Deployed AI Strategist

SAP Lead

VP Security Engineer (AS400)

Supplier Compliance & Rick Program Analyst

Senior Software Engineer AI

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54 cloud ml platforms Jobs found

BI & Data Manager

Strategic Sourcing Analyst III

Consultant, Data Analytics & Reporting-Food

Global Director FP&A

Senior Talent Acquisition Specialist

Forward Deployed AI Strategist

SAP Lead

VP Security Engineer (AS400)

Supplier Compliance & Rick Program Analyst

Senior Software Engineer AI

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

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