System Run Mode & Analytical Support Job at Airbus (Lisbon)

SAP Authorizations Technical Consultant

Our client pioneers sustainable aerospace for a safe and united world. The Compa...

Location

Portugal , Lisbon

Salary:

Not provided

Randstad

Expiration Date

June 22, 2026

Requirements

Degree in IT, Engineering or Management
2 years of experience working with SAP Authorizations (or SAP Basis)
SAP authorization Knowledge maintenance design of an authorization concept (SAP certification is a plus)
Experience in Projects involving systems deployment in the Finance function
Experience in Users Supporting/Ticketing Tools (ServiceNow is a plus)
Engineering experience in Information Systems
Innovation leadership: deploy appropriate innovation methods, techniques and tools to support an innovation opportunity lifecycle phase
Analytical problem solving
Proactive
Team work spirit

Job Responsibility

Ensuring Finance Authorization Governance/Rules applications: Segregation of duty rules applications and maintenance, periodic access reviews, escalation and follow-up of authorizations control breach
Acting as primary Technical referee for Finance Authorization questions
Providing guidance for a risk-based approach on Authorizations
Support projects and organizational change by adapting, maintaining Finance authorization concept while maintaining overall consistency
Operating run mode to secure risk and compliance in systems
Support audits on existing solutions and be proactive on challenges and corrections to bring upon
The jobholder is responsible for the quality of the whole support process and propose permanent improvements in process or ticketing tools

Business Process Analyst - Production Planning Process Excellence & Transformation

Within ASML Global Manufacturing, the Cymer Factory (CF) Production Planning tea...

Location

United States , San Diego

Salary:

70875.00 - 106313.00 USD / Year

ASML

Expiration Date

Until further notice

Requirements

Bachelor's Degree required. Master's preferred (Supply Chain, Industrial Engineering, Operations, Business Administration, or related field)
APICS CPIM or CSCP certification strongly preferred
Minimum 4–9 years of experience in production planning, supply chain, manufacturing operations, process improvement, or business analysis
Exposure to planning systems/processes and system-integrity topics (data quality, KPI reporting, standard work)
Strong experience working with ERP systems (Oracle preferred) and understanding of data structures impacting planning
Experience working in a cross-functional, fast-paced manufacturing environment with competing priorities
Experience with data visualization tools (e.g., Spotfire, Power BI) is a plus
Strong analytical skills (Excel/data analysis)
ability to convert data into actionable recommendations
Process mapping and documentation (workflows, procedures) and continuous improvement mindset

Job Responsibility

Map current-state (As-Is) production planning processes and pain points
facilitate workshops and capture root causes, handoffs, decision points, and failure modes
Co-design future-state (To-Be) planning workflows with planning leads and stakeholders
translate improvements into clear procedures, standard work, and role clarity (RACI)
Maintain process documentation so it reflects the current agreed way-of-working (incl. updates when improvements are implemented)
Support definition, creation, and upkeep of planning KPIs and dashboards (e.g., plan adherence, stability, constraint drivers), including data definitions and reporting cadence
Provide analysis and insights that identify trends, exceptions, and improvement opportunities
package findings into concise, decision-ready updates for the Production Planning Manager and stakeholders
Help drive system/process integrity by identifying data gaps impacting planning and coordinating corrections with process owners and data/system partners (e.g., master data health checks, governance routines)
Support 'control points' in the process (checks, validations, escalation triggers) that prevent recurrence and reduce firefighting

What we offer

medical insurance
dental insurance
vision insurance
basic life insurance
401k plan
8 hours of vacation leave every month
13 paid holidays throughout the calendar year

Fulltime

Senior Data Engineer

If you love the pursuit of excellence and are inspired by the challenges that co...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ years experience in business analytics, data science, software development, data modeling, or data engineering OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience
Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling, or data engineering OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 8+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience
2+ years experience with data governance, data compliance and/or data security
4+ years of hands-on software development experience in one or more general purpose programming languages (e.g., C#, Java, C++, Python, JavaScript/TypeScript)
Hands-on experience designing and operating production data pipelines and platforms at scale
Working understanding of how GenAI systems consume data — training datasets, features and labels, embeddings, retrieval and grounding data, evaluation harnesses, and the data-side failure modes that drive model and agent regressions
Hands-on experience using AI-assisted development tools (e.g., GitHub Copilot, agentic coding workflows, GenAI-based code review and test generation) in a disciplined, production-grade way
Experience integrating AI capabilities (LLMs, agents, model-backed features) into production systems, including familiarity with Responsible AI principles and applying AI safety controls in production
Experience owning a feature area end-to-end, from design through deployment, monitoring, and on-call ownership
Experience designing and operating large-scale distributed data systems in a cloud environment (e.g., Azure), including data model and pipeline design, performance tuning, and cost optimization

Job Responsibility

Own the end-to-end engineering lifecycle for key components and services—designing, coding, testing, deploying, and operating solutions that are secure, reliable, and maintainable
Use AI tools across the full SDLC in a disciplined way. Own the quality of AI-generated requirements, designs, and code — yours and your teammates' — and apply Responsible AI practices
Build the training, feature, retrieval, grounding, and evaluation datasets that LLMs, and agents depend on. Partner with PM and engineering to make data contracts, freshness, drift signals, and offline/online consistency first-class concerns
Lead design discussions for your project area, evaluate tradeoffs across batch vs. streaming, warehouse vs. lakehouse, ELT vs. ETL, and storage choices for analytical, feature, and vector workloads. Own architectural decisions with minimal oversight
Partner with PM and engineering to define data requirements
ensure feedback loops on data quality, usage, model performance, and downstream product impact are in place
Write extensible, secure, performant code for pipelines, transformations, and supporting services. Apply modern patterns including GenAI-assisted development. Drive code reviews and best practices at the product level
Own the test strategy for your area, including data contract tests, schema validation, freshness checks, distribution and drift monitoring, and offline/online parity. Improve the test suite and use AI tools for test automation
Identify cross-team data dependencies, manage upstream producer and downstream consumer impact, and resolve conflicts when semantics or schemas change in ways that affect models or downstream products
Drive your workgroup's project and release plans. Break work into a roadmap including backfills, migrations, and model-impacting changes, and coach others on estimation

Fulltime

Sr Data Scientist- Conversational AI & NLU

The Senior Data Scientist – Conversational AI & NLU is responsible for designing...

Location

United States , Westwood

Salary:

124000.00 - 165000.00 USD / Year

Citizens Bank

Expiration Date

June 30, 2026

Requirements

Master's or Ph.D. in Computer Science, Data Science, Machine Learning, or a related quantitative field
5+ years of experience in data science, with at least 3+ years focused on conversational AI, NLU, or NLP-driven systems
Strong programming and analytical skills in Python, applied primarily to modeling, experimentation, and evaluation
Hands-on experience with LLM Evaluation frameworks like RAGAS, DeepEval, LangSmith, etc.
Proven ability to design, run, interpret, and communicate the results of NLU and conversational AI experiments, translating insights into concrete model and conversation improvements
Experience supporting text- and voice-based, multi-turn, actionable conversational experiences within contact center or customer-facing platforms
Strong communication skills with demonstrated ability to explain complex analytical concepts to technical and non-technical stakeholders

Job Responsibility

Design, develop, and optimize GenAI-powered conversational AI solutions using advanced prompting strategies, structured evaluation frameworks, continuous monitoring, and solution performance reporting
Build and improve agentic, multi-turn conversational experiences with robust context management, memory strategies, and conversation state handling
Own experimentation and evaluation of NLU, LLM, and conversational AI solutions, including hypothesis definition, metric design, error analysis, and recommendation of targeted improvements
Act as the primary data science partner to business stakeholders by gathering requirements, clarifying objectives, translating needs into actionable analytical and modeling tasks, and driving execution to measurable outcomes
Assign, coordinate, review, and provide technical guidance on work delivered by onshore and offshore data scientists, ensuring analytical rigor, consistency, and timely delivery
Support end-to-end delivery of conversational AI and NLU capabilities for IVR and chat solutions, including intent understanding, entity extraction, dialogue flows, and conversational quality assessment
Analyze conversation data such as chat logs, call transcripts, and speech-to-text outputs to identify gaps, failure modes, and optimization opportunities across user journeys
Define and report solution-level KPIs related to conversation success, containment, task completion, accuracy, customer effort, and overall experience quality
Ensure conversational AI solutions align with enterprise standards, governance, and regulatory expectations, particularly in highly regulated environments

What we offer

Competitive pay
Comprehensive medical, dental and vision coverage
Retirement benefits
Maternity/paternity leave
Flexible work arrangements
Education reimbursement
Wellness programs

Fulltime

AI Experience & Performance Consultant

The AI Experience & Performance Consultant applies deep User Experience expertis...

Location

United Kingdom , London

Salary:

Not provided

Sabio Group

Expiration Date

Until further notice

Requirements

Educated to degree level or equivalent experience (e.g. Linguistics, Human Computer Interaction, Applied Languages, AI, NLP, etc.) or at least 7 years of experience in these fields
Experience with AI models and Natural Language Processing technologies such as ChatGPT, Claude, Gemini, Google DialogFlow, Amazon Lex, Microsoft CoPilot, etc.
Strong practical experience and understanding of Conversational Design and Agentic AI
Excellent verbal communication skills and versed in having technical as well as business led conversations
Experience in leading and inspiring others in applying a User Centred Design Approach
Strong understanding of common systems architectures, cloud functions and automation and AI
Proven analytical and problem solving skills in devising and implementing solutions to business problems
Experience analysing business metrics and reports to find ways to improve a customer’s ROI and performance
Educated to degree level or equivalent in User Computer Interaction / User Experience / Conversational Design / AI / Linguistics
Strong Experience of working in a technical environment

Job Responsibility

Interpret and supplement user research (requirements), customer journey mapping, and experience evaluation to guide improvements
Create or review high‑ and low‑level conversational designs and AI Agent instructions to support optimisation
Ensure design changes are consistent with best‑practice UX standards and user‑centred approaches
Monitor daily/weekly KPIs (containment, resolution accuracy, AHT impact, CSAT, concurrency, cost‑to‑serve)
Diagnose issues, identify optimisation opportunities, and prioritise improvements
Maintain visibility of agent lifecycle health, drift, failure modes, and iteration strategies
Design and run targeted performance investigations, e.g. A/B testing
Own financial outcomes for outcome-based AI deployments: forecasting, revenue, margin optimisation
Develop business cases for improvements
assess ROI of enhancements

What we offer

Pension Scheme
Remote/Flexible work
Life insurance
Private health and dental care
Cycle to work
28 days paid holiday a year- (this includes three Sabio days)
LinkedIn Learning

Sourcing/Commodity Mgr

We are seeking an experienced sourcing and contracting expert focused on tech se...

Location

India , Bengaluru

Salary:

Not provided

NetApp

Expiration Date

Until further notice

Requirements

8+ years of procurement/sourcing experience with emphasis on tech services (software/SaaS/cloud/IT services)
Proven contract negotiation skills across MSAs/SOWs/SaaS
strong contract risk awareness and ability to summarize risks and trade-offs
Hands-on with sourcing tools and enterprise systems (Oracle Cloud, Adobe Sign)
strong Excel/PowerPoint and analytics
Stakeholder management, communication, and project management discipline
ability to manage multiple deals in parallel
Data-driven mindset with attention to detail
comfortable preparing executive summaries and recommendations

Job Responsibility

Own end-to-end sourcing for tech services categories (RFx/RFQ/RFP), including project planning, supplier outreach, bid analysis, and award recommendations
Draft, review, and negotiate MSAs, SOWs, SaaS agreements, NDAs, amendments
align with legal playbooks and contract risk awareness/escalation practices
Benchmark pricing and rate cards
run negotiations and reverse auctions to drive total cost of ownership (TCO) improvements
Partner with IT, Engineering, Tech Services, Finance, and Legal to align sourcing with roadmaps and program objectives
Maintain contracting and SRM databases
ensure accurate metadata, milestone tracking, and reporting
Monitor supplier performance against SLAs/KSOs
drive remediation plans and continuous improvement

Transportation Researcher and Modeler

Shape the Future of Transportation in Our Region. The Transportation Analysis an...

Location

United States , San Diego

Salary:

74422.00 - 147306.00 USD / Year

SANDAG

Expiration Date

Until further notice

Requirements

A bachelor’s degree in transportation modeling, computer science, mathematics, statistics, engineering, data science, management information systems, regional planning, geography, demographics, or a related field
One to two years (Level I and II) or three years (Associate level) of professional experience in transportation modeling, data analysis, and software development
Knowledge of the principles and practices of travel demand modeling and forecasting
Experience programming in languages such as Java, Python, R, and SQL
Experience using modeling software such as EMME to support large, complex model development and applications projects
Experience using geographic information system software such as ESRI ArcGIS or QGIS
Experience with data acquisition, compilation, and quality assurance/quality control methods
Experience with ESRI software to include feature creation, scripting, mapping, and spatial analytics
Experience with data visualization tools such as Power BI, Plotly, or Esri Experience Builder
Excellent organizational skills, attention to detail, and ability to maintain a high level of accuracy

Job Responsibility

Perform various duties related to the development, maintenance, and improvement of SANDAG’s ABM, CVM, and CBM
Perform research and participate in the development of modeling features related to emerging transportation technologies, transformative modes, and shared mobilities
Assist with the development and maintenance of custom software applications to support transportation modeling
Ensure transportation modeling tools and analytical capabilities are credible and effective for policy analysis
participate in quality assurance and quality control processes
Maintain GIS networks of current and future roadway, transit, and active transportation projects
Analyze and understand model run forecasts including performance metrics and mapping, travel behavior and impacts
Perform analysis of large data sets and translate findings into digestible information to help inform various agency projects
Research, collect, and compile data
ensure accuracy of information

Fulltime

Senior Support Engineer

You are a Senior Support Engineer who delivers world-class post-deployment suppo...

Location

India , Bengaluru

Salary:

Not provided

Ema

Expiration Date

Until further notice

Requirements

4+ years of experience in Support Engineering, Software Engineering, or Technical Customer Support
Hands-on experience supporting AI/LLM-based applications in production environments
Experience configuring, deploying, or supporting AI agents, workflows, or ML systems
Exposure to prompt engineering and iterative improvement of LLM outputs
Experience running UATs or customer-facing evaluations for AI systems
Proven ability to manage complex enterprise customer issues independently
Familiarity with support metrics such as FRT, AHT, TAT, CSAT
Strong production troubleshooting skills, including diagnosing AI performance and recommending improvements to accuracy and business KPIs
Strong understanding of LLM application architecture, including: Prompting patterns (system/instructions, few-shot, structured outputs, function/tool calling), Agentic workflows and orchestration concepts, RAG fundamentals (chunking, embeddings, retrieval, reranking, context windows), Evaluation concepts (golden datasets, offline/online evals, quality metrics, regression testing)
Ability to diagnose ML/LLM performance issues and recommend next-step experiments or mitigations (guardrails, routing, prompt adjustments, data fixes)

Job Responsibility

Own customer-facing incident management and escalations for post-deployment enterprise accounts
Triage incoming issues by gathering context, logs, steps-to-reproduce, and customer impact
Create clear, actionable bug reports and support tickets with detailed reproduction steps and diagnostics
Coordinate closely with Implementation and Engineering teams to drive timely issue resolution
Track and manage SLAs and key support metrics including FRT, TAT, AHT, and CSAT
Provide proactive, regular status updates to customers and internal stakeholders
Communicate effectively with both technical and non-technical customer teams during incidents and escalations
Identify recurring issues and contribute to improvements in documentation, runbooks, and support processes
Maintain and enhance internal knowledge bases, troubleshooting guides, and escalation playbooks
Validate fixes, coordinate customer confirmation, and support post-resolution follow-ups

Fulltime

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System Run Mode & Analytical Support

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