Technical Delivery Manager (L3 Production Support) - VP2

Planning and Control Planner

Data Security Engineer - Cyber Security  (VP1)

Senior Application Developer - ERP

ERP Application Developer

Consultant, Data Analytics & Reporting-Food

Advanced Quality, Senior Engineer

Application Developer - ERP

Forward Deployed AI Strategist

Technical Delivery Manager, Core Banking - VP1 / VP2

Responsibilities: <ul><li>Act as the focal point of contact for technical resolutions while managing the incident, problem and knowledge management processes for the applications in scope.</li><li>Provide comprehensive support to internal customers; achieve resolution to outstanding problems or issues.</li><li>Manage 3rd party product vendors and integration partners to ensure application code fix deliveries are timely and good quality.</li><li>Design appropriate metrics for reporting on key performance and quality indicators.</li><li>Test, maintain and recommend software improvements to ensure strong functionality and optimization.</li><li>Work with production support team members to conduct root cause analysis of issues, review new and existing code and/or perform unit testing.</li><li>Work with business stakeholders to manage and prioritize the overall book of work in terms of problem remediation.</li><li>Contribute to improvement initiatives relating to methods, tools, people,architecture, project management and governance.</li></ul> Requirements: <ul><li>Degree in Computer Science, Engineering or similar domain; Additional professional/technical qualifications will be advantageous.</li><li>At least 6 years’ experience in relevant Banking applications / Information Technology.</li><li>Proficient in IBM AS400 platform, RPG, COBOL, CL programming.</li><li>Good understanding and experience in of Software Development Life Cycle (SDLC) or AGILE.</li><li>Well-versed in service management or production support’s process flow and cycle.</li><li>Experience leading a small team and providing guidance to junior developers.</li><li>Knowledge of Silverlake’s banking software suite is an added advantage.</li></ul>

Responsibilities: <ul><li>Employees must specialize in planning activities involving production control, inventory control, process control, shop floor control, and Material Resources Planning (MRP) integrity.</li><li>Maintain SAP Production Order release schedules to ensure material is available on time for manufacturing and engineering.</li><li>Reschedule and/or TECO work orders as required to support production priorities.</li><li>Improve component availability at the time of release by performing pre-shortage analysis.</li><li>Perform work order variance analysis and recommend corrective actions.</li><li>Review MRP execution to ensure data accuracy, reconcile supply and demand, and validate master scheduling and PDS requirements.</li><li>Review and ensure proper disposition of Engineering Change Orders (ECOs) and Engineering Change Requests (ECRs); prepare status reports for all active ECOs/ECRs.</li><li>Participate in floor audits with Finance and resolve Work-in-Progress (WIP) issues.</li><li>Attend production meetings and provide updates on material shortages and committed delivery dates.</li><li>Collaborate with engineering teams to manage materials for special engineering projects.</li><li>Support work centers with shop floor control activities as needed.</li><li>Analyze inventory usage and stock levels to maintain target inventory and meet service level requirements.</li><li>Expedite material shortages and forecast spare parts requirements where applicable.</li><li>Investigate material variances, resolve operational issues, and escalate complex problems to management.</li><li>Support the implementation or enhancement of inventory management systems and assign expediting activities where required.</li><li>Manage obsolete inventory and recommend disposition strategies.</li><li>Participate in process improvement initiatives by identifying root causes through PCI reporting and driving corrective actions.</li><li>Support cycle counting activities to maintain inventory accuracy.</li><li>Perform data analysis, forecasting, and ad hoc statistical analysis using structured and unstructured data sources.</li><li>Develop dashboards and visualizations using Tableau to support business decision-making.</li><li>Work closely with business stakeholders to gather requirements and translate data into actionable insights using Python, SQL, or equivalent analytical tools.</li><li>Serve as a subject matter expert on project teams for data consolidation, reporting, and process improvement initiatives.</li></ul> Requirements: <ul><li>Experience: 3–7 years.</li><li>Role Level: B2/B3 Individual Contributor (IC).</li><li>Strong English communication is essential. </li><li>Candidates must demonstrate ability to communicate effectively with multiple stakeholders.&nbsp;</li></ul>

Responsibilities: <ul><li>Create dashboards, alerts, reports in Splunk.&nbsp;</li><li>Maintain and enhance existing reports for business.</li><li>Develop the necessary test cases and perform testing.</li><li>Implement and operationalize the use cases.</li><li>Create and maintain documentation in accordance to Bank standards.&nbsp;</li><li>Ensure appropriate standards and procedures are adhered to during the development process to support quality deliverables.</li><li>Troubleshoot, debug and provide production system support for Data Security Engineering services.</li><li>Coordinate with internal teams and vendors to resolve system issues.</li><li>Execute tasks related to project / change request / maintenance request.</li></ul> Requirements: <ul><li>Diploma/Degree in engineering/Computer Science / IT/Cyber Security from a recognized education institution.</li><li>Data Security product certifications will be favorable although not mandatory&nbsp;</li><li>Overall, 6 years of work experience in information technology and at least 2 years in Cyber Security.</li><li>Working experience in integrating solution with Splunk and developing Splunk contents (alerts, reports and dashboards).</li><li>At least 3 years of relevant experience in managing and deploying Data Security Solutions</li><li>Data Security or Splunk product certifications will be favorable although not mandatory.</li><li>Knowledgeable with the variety of Data Security technologies and familiar with the industry trends and best practices.</li><li>Analytical problem solver and good at troubleshooting technical issues</li><li>Hands-on experience with Windows, Unix or Linux and endpoint management tools (e.g. SCCM, JAMF).</li><li>Proficiency in network technologies, scripting and automation (e.g. PowerShell scripts, Python).</li><li>Advanced level of proficiency in Microsoft Office products.</li></ul>

Responsibilities Key Accountabilities <ul><li>APPLICATION CONFIGURATION MANAGEMENT: Builds and drives complex application configurations to meet user and business requirements while identifying improvements to complex application support processes and procedures.</li></ul> <ul><li>APPLICATION DEVELOPMENT &amp; DEPLOYMENT: Performs and drives the design, configuration, testing, deployment, and support of changes and fixes, in accordance with established standards and practices.</li></ul> <ul><li>COMMUNICATION &amp; SUPPORT: Plays a key role and keeps an open channel of communication with stakeholders and responds to support requests and needs.</li></ul> <ul><li>APPLICATION SUPPORT: Conducts and leads advanced and complex application support activities to maintain system stability and meet business outcomes.</li></ul> <ul><li>STAKEHOLDER MANAGEMENT: Collaborates effectively with business partners, technical peers, &amp; vendors in multi-functional global teams, to ensure solutions and configurations align with business requirements and best practices.</li></ul> <ul><li>INCIDENT &amp; REQUEST MANAGEMENT: Leads prioritization of incoming incident tickets &amp; user requests and driving timely resolution.</li></ul> Requirements <ul><li>Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience.</li></ul> <ul><li>ERP &amp; DOMAIN EXPERTISE: Solid hands‑on experience with enterprise‑scale applications (ERP preferred) in a techno‑functional capacity, demonstrating strong solution design and delivery capabilities. Deep knowledge of, and experience within, one or more ERP business domains (Order-to-Cash, Procure-to-Pay, Agriculture, Finance etc.)</li></ul> <ul><li>FULL LIFE CYCLE IMPLEMENTATION: Proven experience delivering large and complex application implementations (eg. ERP) across the full lifecycle, including system design and implementation, deployment, go‑live, and post‑go‑live stabilization and support, leveraging Agile, Scrum and/or DevOps practices.</li></ul> <ul><li>PROGRAMMING &amp; CUSTOMIZATION: Knowledge and/or experience with languages such as Java, C#, Python, or platform specific scripting (eg. ABAP for SAP) for application customization and experience with various pipelines, is preferred.</li></ul> <ul><li>DATA MIGRATION &amp; INTEGRATION: Experience with data migration strategies and large scale data transfers from legacy systems, including ETL processes.</li></ul>

Responsibilities <ul><li>APPLICATION CONFIGURATION MANAGEMENT: Sets up and maintains application configurations to meet user and business requirements while developing and recommending and implementing improvements to standard and moderately complex application support processes and procedures.</li></ul> <ul><li>APPLICATION DEVELOPMENT &amp; DEPLOYMENT: Performs programming, configuration, testing and deployment of fixes or updates for application version releases. </li><li>Designs, configures, tests, deploys and supports large and complex application changes and fixes in accordance with established standards and practices.&nbsp;</li></ul> <ul><li>COMMUNICATION &amp; SUPPORT: Keeps an open channel of communication with users stakeholders and responds to standard and moderately complex application support requests and needs.&nbsp;</li></ul> <ul><li>APPLICATION SUPPORT: Conducts application support activities to maintain system stability and meet business outcomes.</li></ul> <ul><li>STAKEHOLDER MANAGEMENT: Collaborates effectively with business partners, technical peers &amp; vendors in multi-functional global teams, including business partners to ensure solutions and configurations align with business requirements and best practices.&nbsp;</li></ul> <ul><li>INCIDENT &amp; REQUEST MANAGEMENT: Reviews, analyzes and prioritizes incoming incident tickets and user requests, driving timely resolution within agreed processes, balancing delivery speed with quality and stability.&nbsp;</li></ul> Requirements <ul><li>Minimum requirement of 2 years of relevant work experience. Typically reflects 3 years or more of relevant experience.</li><li>ERP &amp; DOMAIN EXPERTISE: Hands-on experience with enterprise-scale applications (ERP preferred) in a techno functional capacity, with exposure to one or more ERP business domains (eg. Order to Cash, Procure to Pay, Agriculture, Finance).</li><li>Translating business requiremts to technical specifications.</li><li>FULL LIFE CYCLE IMPLEMENTATION: Proven experience working on large and complex application implementations (e.g. ERP) across the full lifecycle, including system design and implementation, deployment, go‑live, and post‑go‑live stabilization and support leveraging Agile, Scrum, and/or DevOps practices.</li><li>PROGRAMMING &amp; CUSTOMIZATION: Knowledge and/or experience with languages such as Java, C#, Python, or platform specific scripting (eg. ABAP for SAP) for application customization and experience with various pipelines is preferred.</li><li>DATA MIGRATION &amp; INTEGRATION: Experience with data migration strategies and large scale data transfers from legacy systems, including ETL processes.</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>

Responsiblities: <ul><li>Design Quality Assurance: Organize and facilitate Design Reviews (DR) and DFMEA sessions to ensure robust product design and risk mitigation.</li><li>Prototype &amp; Sample Build Quality: Implement quality planning and controls for prototype/sample builds, including documentation and build record management.</li><li>Measurement System Validation: Conduct Measurement System Analysis (MSA) for inspection systems and gages used in the project.</li><li>Development Stage Quality Oversight: Analyze samples, address quality issues, and drive improvement actions during product development.</li><li>Verification &amp; Qualification: Lead design verification activities prior to design freeze and manage product qualification testing before Gate 5.</li><li>Tool &amp; Process Validation: Perform process capability studies and support Final Tool Approval (FTAR) using Comprehensive Tool Approval Reports (CTAR).</li><li>Production Quality Control: Establish and maintain quality controls and documentation for the production shop floor.</li><li>Ongoing Quality Monitoring: Monitor process capability and manage corrective actions to ensure sustained quality performance.</li><li>Inspection Review: Review and approve measurement and cosmetic inspection results to ensure compliance with specifications.</li><li>Audit Support: Provide support during customer and internal/external quality system audits.</li><li>Lead the development and implementation of Advanced Quality Planning (AQP) tools and methodologies within cross-functional product development teams.</li><li>Manage and mitigate project risks, ensuring customer requirements are clearly understood and integrated from the outset.</li><li>Conduct design and process audits for NPI projects, ensuring compliance with internal and external standards.</li><li>Collaborate closely with manufacturing sites to ensure seamless transition from design to production, including training facilitation and sharing of best practices and lessons learned.</li><li>Support customer complaint investigations during NPI, including documentation collection, in-process record review, and postmortem analysis.</li><li>Ensure effective deployment of control plans and support supplier development and management to meet quality expectations for NPI shipments.</li></ul> Requirements: <ul><li>Bachelor’s degree or higher in Electrical, Mechanical Engineering, or a related field.</li><li>Min 4 years experience in advanced quality</li><li>Proven quality control experience in cable assemblies, connectors, sockets, or related industries.</li><li>Strong understanding of ISO 9001 and APQP procedures.</li><li>Familiarity with EIA-364 test methods and internal/external auditing practices.</li><li>Knowledge of Model-Based Definition (MBD) and GD&amp;T requirements.</li><li>Proficient in Root Cause Analysis (8D, Fishbone, 5 Whys).</li><li>Skilled in Risk Management (DFMEA/PFMEA), Process Capability (Cp, Cpk, Pp, Ppk), and Tolerance Stack-Up Analysis.</li><li>Experienced in Design of Experiments (DOE) and Six Sigma methodologies (Black Belt preferred).</li><li>Competent in data analytics and visualization tools (Power BI, Tableau, Python/R).</li><li>Skilled in statistical software such as Minitab and JMP.</li><li>Strong organizational and strategic planning abilities.</li><li>Effective communicator with excellent written and verbal English skills.</li><li>Ability to mentor junior engineers and lead cross-functional teams.</li><li>Demonstrated capability in change management and driving continuous improvement.</li><li>Strong interpersonal skills for conflict resolution and stakeholder negotiation.</li><li>Committed to delivering high-quality solutions aligned with customer expectations and business strategy.</li></ul>

Responsibilities: <ul><li>APPLICATION CONFIGURATION MANAGEMENT: Sets up and maintains application configurations to meet user and business requirements while developing and recommending and implementing improvements to standard and moderately complex application support processes and procedures.</li><li>APPLICATION DEVELOPMENT &amp; DEPLOYMENT: Performs programming, configuration, testing and deployment of fixes or updates for application version releases. Designs, configures, tests, deploys and supports large and complex application changes and fixes in accordance with established standards and practices.&nbsp;</li><li>COMMUNICATION &amp; SUPPORT: Keeps an open channel of communication with users stakeholders and responds to standard and moderately complex application support requests and needs.&nbsp;</li><li>APPLICATION SUPPORT: Conducts application support activities to maintain system stability and meet business outcomes.</li><li>STAKEHOLDER MANAGEMENT: Collaborates effectively with business partners, technical peers &amp; vendors in multi-functional global teams, including business partners to ensure solutions and configurations align with business requirements and best practices.&nbsp;&nbsp;</li><li>INCIDENT &amp; REQUEST MANAGEMENT: Reviews, analyzes and prioritizes incoming incident tickets and user requests, driving timely resolution within agreed processes, balancing delivery speed with quality and stability.&nbsp;</li></ul> Requirements: <ul><li>Minimum requirement of 2 years of relevant work experience. Typically reflects 3 years or more of relevant experience.</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>Project delivery management</li><li>Plan technical deliverables (including any system enhancements and upgrades) to meet project’s requirements within allocated budget</li><li>Manage and coordinate across different application teams to manage technical dependencies of the solution</li><li>Monitor and manage risks/issues related to technical delivery</li><li>Provide status update related to technical delivery</li><li>Report to Program and/or Project Manager for the strategic programs</li><li>Partner with Functional Business Analysts, System Analysts &amp; subject matter experts to understand and implement functional and technical requirements</li><li>Provide systems input to specification phase (e.g., effort estimates, high-level delivery plan) based on impact assessment</li><li>Partner with Domain Architects, Development Manager, and Security Architect to ensure solution design complies with enterprise design principles, security and control standards</li><li>Partner with Development Manager in managing application teams to build the enhancements</li><li>Partner with Test Manager to ensure completion of SIT, UAT testing, performance/load testing and application security testing with quality results</li><li>Work with IT Security team to facilitate completion of penetration testing and remediation of findings in accordance with Mitigation Plan</li><li>Prepare technical implementation plan across application teams</li><li>Coordinate technical implementation activities across application teams to ensure production cutover and adequate post-implementation support</li></ul> Requirements: <ul><li>At least 9 years’ experience in relevant Banking / Information Technology</li><li>Knowledge in IBM AS400 platform, RPG, CL &amp; COBOL programming, ALDON.</li><li>Good understanding and experience in of Software Development Life Cycle (SDLC)</li><li>Knowledge in Agile development methodology</li><li>Silverlake’s banking software suite is a plus</li><li>Bachelor’s Degree in related Information Technology disciplines; Additional professional/technical qualifications will be advantageous although not mandatory</li><li>Exposure to DevOps methodologies and tools</li></ul>

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64 python programming Jobs found

Technical Delivery Manager (L3 Production Support) - VP2

Planning and Control Planner

Data Security Engineer - Cyber Security (VP1)

Senior Application Developer - ERP

ERP Application Developer

Consultant, Data Analytics & Reporting-Food

Advanced Quality, Senior Engineer

Application Developer - ERP

Forward Deployed AI Strategist

Technical Delivery Manager, Core Banking - VP1 / VP2

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Technical Delivery Manager (L3 Production Support) - VP2

Planning and Control Planner

Data Security Engineer - Cyber Security (VP1)

Senior Application Developer - ERP

ERP Application Developer

Consultant, Data Analytics & Reporting-Food

Advanced Quality, Senior Engineer

Application Developer - ERP

Forward Deployed AI Strategist

Technical Delivery Manager, Core Banking - VP1 / VP2

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

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