Lead Quality Automation Engineer

Murex Senior EOD ( AVP )

Product Specialist – Implements

Planning and Control Planner

Financial Reporting and Accounting Lead

Consultant, Data Analytics & Reporting-Food

Staff Electrical Engineer (Global Facilities Engineering)

Staff Engineer, Electrical – Global Facilities Engineering

Strategic Business Development Lead

Forward Deployed AI Strategist

Role Description: <ul><li>We are seeking an experienced Lead Quality Automation Engineer to join our growing Quality Engineering practice in Leeds.&nbsp;</li><li>This role is suited to a highly technical Quality Engineer who enjoys solving complex engineering challenges while working directly with clients across multiple industries.&nbsp;</li><li>You will play a key role in designing automation solutions, driving engineering best practices, mentoring team members, and helping organisations modernise their quality engineering capabilities.&nbsp;</li><li>As a Lead Quality Automation Engineer, you will remain hands-on with automation development while providing technical leadership across delivery teams.&nbsp;</li></ul> Responsibilities:&nbsp; <ul><li>Design, develop and maintain scalable automated testing frameworks for enterprise applications.&nbsp;&nbsp;</li><li>Deliver high-quality automation solutions using modern testing tools and object-oriented programming languages.&nbsp;&nbsp;</li><li>Work collaboratively with software engineers, architects, product owners, and business stakeholders throughout the software development lifecycle.&nbsp;&nbsp;</li><li>Champion Shift-Left Quality Engineering practices by embedding testing early in the development process.&nbsp;&nbsp;</li><li>Analyse application source code to identify defects, improve test coverage, and support overall software quality.&nbsp;&nbsp;</li><li>Contribute to Continuous Integration and Continuous Delivery (CI/CD) pipelines to enable efficient automated testing.&nbsp;&nbsp;</li><li>Apply AI-assisted engineering tools and Generative AI technologies to improve testing efficiency and engineering productivity.&nbsp;&nbsp;</li><li>Provide technical leadership, mentoring, and guidance to junior engineers and project teams.&nbsp;&nbsp;</li><li>Support clients in adopting modern Quality Engineering practices and continuous improvement initiatives.&nbsp;&nbsp;</li><li>Participate in technical discussions, solution design, and engineering governance activities.&nbsp;&nbsp;</li></ul> Requirements: <ul><li>Proven experience in Quality Engineering and Test Automation within enterprise environments.&nbsp;&nbsp;</li><li>Hands-on experience developing and maintaining automation frameworks.&nbsp;&nbsp;</li><li>Strong programming experience in one or more object-oriented languages such as Java, Python, C#, JavaScript, or TypeScript.&nbsp;&nbsp;</li><li>Experience with modern automation frameworks such as Playwright, Selenium, or equivalent.&nbsp;&nbsp;</li><li>Experience working with cloud platforms including AWS, Microsoft Azure, or Google Cloud Platform.&nbsp;&nbsp;</li><li>Good understanding of Continuous Integration and Continuous Delivery (CI/CD) principles.&nbsp;&nbsp;</li><li>Experience working with AI productivity tools such as GitHub Copilot, Claude, or similar technologies.&nbsp;&nbsp;</li><li>Strong understanding of software development lifecycle (SDLC) and Shift-Left Testing methodologies.&nbsp;&nbsp;</li><li>Excellent communication and stakeholder management skills with the ability to work directly with clients.&nbsp;&nbsp;</li><li>Demonstrated ability to work independently while managing multiple priorities.&nbsp;&nbsp;</li></ul> Preferred Qualifications&nbsp; <ul><li>Commercial experience implementing Generative AI solutions within Quality Engineering.&nbsp;&nbsp;</li><li>Experience working within consulting or professional services organisations.&nbsp;&nbsp;</li><li>Knowledge of Agentic AI concepts.&nbsp;&nbsp;</li><li>Familiarity with LangChain and LangGraph.&nbsp;&nbsp;</li><li>Experience mentoring engineers and providing technical leadership.&nbsp;&nbsp;</li><li>Exposure to both public and private sector projects.&nbsp;&nbsp;</li></ul> Personal Attributes&nbsp; The successful candidate will demonstrate:&nbsp; <ul><li>Strong analytical and problem-solving skills.&nbsp;&nbsp;</li><li>Excellent verbal and written communication abilities.&nbsp;&nbsp;</li><li>Adaptability in fast-paced consulting environments.&nbsp;&nbsp;</li><li>A continuous learning mindset with evidence of ongoing professional development.&nbsp;&nbsp;</li><li>A collaborative approach with the ability to influence technical and non-technical stakeholders.&nbsp;&nbsp;</li></ul> Working Arrangement&nbsp; <ul><li>This role follows a hybrid working model with an expectation of approximately two to three days per week onsite, depending on client requirements.&nbsp;</li><li>Some travel to client locations may be required.&nbsp;</li></ul> Security Requirements&nbsp; <ul><li>Candidates must either hold Security Clearance (SC) or be eligible to obtain SC Clearance in accordance with UK Government requirements.&nbsp;</li></ul>

Responsibilities: <ul><li>To Prepare EOD drafts based on scope given by Dev and SAs with correct dependencies, in &amp; out conditions</li><li>To schedule, execute and support EOD runs in SIT/UAT environments for Projects.</li><li>Act as Level 2/3 support for EOD-related incidents.</li><li>Analyze and resolve batch failures, job delays, or any performance bottlenecks</li><li>Lead root cause analysis for recurring issues and define permanent fixes</li><li>Serve as the domain expert in Murex EOD operations, including Pre-trade to post-trade lifecycle, Trade validation and market data dependencies</li><li>Provide consultation to development and testing teams regarding EOD impacts of changes or upgrades</li><li>Identify automation opportunities in EOD processes using scripting (Unix, Python, MxML)</li><li>Maintain technical documentation</li><li>Ensure compliance with audit and regulatory requirements, including EOD signoffs and logs</li><li>Support EOD-related project activities, including upgrades, migrations</li><li>Define and monitor KPIs and SLAs for EOD (e.g., batch completion time, failure rate).</li><li>Perform EOD regression testing after Murex upgrades, patching, or infrastructure changes</li><li>Work with infrastructure teams on server performance, disk space, and job execution time</li><li>Lead war room efforts during EOD crises: high-priority trade breaks, simulation failures, or regulatory deadline risks.</li><li>Drive post-mortem sessions with action item tracking and continuous feedback loops</li></ul> Requirements: <ul><li>Minimum 5 years exp in supporting Murex 3.1 End of Day batch</li><li>Deep Murex product knowledge: MX.3 Simulation, Datamart, MxML, workflows</li><li>Deep understanding of Murex EOD processes including Trade validation, Pre-trade/post-trade workflows, Market data loads, Feeders, extractions, Reporting etc.</li><li>Strong in scripting: Unix. Shell, Python, SQL</li><li>Tools: Control-M, Autosys, JIRA, Confluence</li><li>Expertise in Unix/Linux shell scripting for job orchestration, automation, and log analysis</li><li>Working knowledge of Shell, Python for custom automation or data parsing tasks.</li><li>Expertise in SQL for: Querying Murex database tables, validating data, Debugging batch issues</li><li>problem-solving, decision-making under pressure</li><li>Ability to Evaluate and improve EOD architecture regularly to reduce latency, eliminate redundancy, and enhance performance</li><li>Ability to Analyze historical EOD execution data for trend analysis and predictive issue detection</li><li>Monitor Murex based support tickets, provide support with all end-user issues, escalate issues to the support manager as needed.</li><li>Ability to prioritize tasks and manage time effectively under time constraints.</li><li>Evaluate and test new Murex modules or plugins that impact EOD, such as new simulation engines or DataMart enhancements</li></ul>

Responsibilities: Product Planning &amp; Category Management <ul><li>Conduct category research, competitive analysis, and product benchmarking to identify market opportunities and trends.</li><li>Support product roadmap development using market insights and field feedback.</li><li>Define product requirements and specifications aligned with customer applications and regional needs.</li></ul> Technical Evaluation &amp; Product Development Support <ul><li>Evaluate product specifications to ensure performance, reliability, and cost competitiveness.</li><li>Support sourcing, capability assessment, and technical alignment of vendors.</li><li>Lead sample evaluation, field testing, and validation for product selection.</li><li>Provide technical recommendations to cross-functional teams.</li><li>Technical Documentation &amp; Knowledge Management</li><li>Develop and maintain product specs, application guides, and technical documentation.</li><li>Create training materials for internal teams and dealers.</li><li>Ensure accurate and up-to-date product information across systems.</li></ul> Technical Support &amp; Field Enablement <ul><li>Act as the escalation point for complex product issues and provide troubleshooting support.</li><li>Conduct field validations, demonstrations, and performance assessments.</li><li>Collaborate with Service and Quality teams to resolve issues and improve products.</li></ul> Requirements: Education <ul><li>Bachelors degree in Mechanical Engineering, Agricultural Engineering, or a related technical discipline.</li><li>An equivalent combination of technical education and hands-on agricultural/off-highway equipment experience may be considered.</li></ul> Requirements: <ul><li>Minimum 6+ years of experience in the agricultural equipment/tractor implements industry.</li><li>Direct experience with tractor implements and attachments.</li><li>Ability to translate market needs and technical insights into product requirements and business recommendations.</li><li>Experience collaborating with Engineering, Suppliers, Quality, Sales, and other cross-functional teams.</li><li>Strong technical curiosity and ownership mindset.</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>Supervise the general accounting of the business unit, providing leadership, mentorship to colleagues, and fostering a collaborative work environment to drive performance and professional development.</li><li>Oversee daily financial data entry in the ERP system, ensuring accuracy and completeness.&nbsp;</li><li>Prepare and post journal entries and manage general ledger account reconciliations to maintain financial integrity.</li><li>Lead the monthly, quarterly, and annual closing processes, ensuring all financial activities are accurately captured. Prepare detailed financial data for management review and facilitate necessary adjustments.</li><li>Analyze balance sheet and income statement accounts, providing insightful variance analysis and reports that deliver actionable insights for informed decision-making.</li><li>Review and present financial reports to ensure compliance with accounting standards and local regulations. Collaborate with cross-functional teams to integrate financial data and streamline reporting processes.</li><li>Contribute to the development and implementation of policies and procedures for the general accounting function, ensuring alignment with the company’s financial goals and risk management strategies.</li><li>Develop ad-hoc reports and support special projects, such as financial data analysis and process improvements.</li><li>Lead the annual budgeting of SGA and COS departments costs and help providing insightful data for an accurate forecast.</li><li>Provide support on Annual Statutory Audit of the financial statements, as well as support for tax and transfer price documentation.</li></ul> Requirements: <ul><li>Bachelor’s degree in finance, accounting, Business Administration or a related field</li><li>4 - 7 years of relevant experience with general accounting.</li><li>Strong analytical skills with the ability to interpret financial data and generate reports.</li><li>Excellent attention to detail and ability to work under tight deadlines</li><li>Proficiency with Microsoft Office Suite</li><li>Familiarity with financial software and Oracle, Hyperion</li><li>Solid regional accounting knowledge (i.e., US GAAP and IFRS)</li><li>Fluency in English both spoken and written, is required.</li><li>Preferred qualifications and experience:</li><li>Master’s degree in a relevant field or Chartered Accountant designation</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>

Responsibilities: <ul><li>Act as a Subject Matter Expert (SME) for electrical systems across global facilities.</li><li>Develop and govern global engineering standards, specifications, and BKMs.</li><li>Lead design reviews, ensuring alignment with global requirements and best practices.</li><li>Drive improvements in system reliability, cost efficiency, and maintainability.</li><li>Support large-scale design and construction projects globally.</li><li>Conduct system studies, capacity analysis, and performance evaluations.</li><li>Collaborate with cross-functional stakeholders to align engineering solutions.</li></ul> Requirements: <ul><li>Bachelor’s Degree in Electrical Engineering or equivalent.</li><li>10–13 years of relevant experience in semiconductor or industrial facilities.</li><li>Strong expertise in electrical distribution systems (HV/MV/LV).</li><li>Experience with critical systems (UPS, generators, sag mitigation).</li><li>Proficiency in system modeling, analysis, and reliability engineering.</li><li>Experience in design review and construction project support.</li></ul>

Responsibilities: <ul><li>Act as a Subject Matter Expert (SME) for electrical systems across global facilities.</li><li>Develop and govern global engineering standards, specifications, and BKMs.</li><li>Lead design reviews, ensuring alignment with global requirements and best practices.</li><li>Drive improvements in system reliability, cost efficiency, and maintainability.</li><li>Support large-scale design and construction projects globally.</li><li>Conduct system studies, capacity analysis, and performance evaluations.</li><li>Collaborate with cross-functional stakeholders to align engineering solutions.</li></ul> Other Responsibilities: <ul><li>Lead root cause analysis for major system issues.</li><li>Mentor junior engineers and guide technical development.</li><li>Support sustainability and energy optimization initiatives.</li></ul> AI Responsibilities <ul><li>Leverage AI tools to enhance data analysis, predictive maintenance, and engineering insights.</li><li>Promote adoption of AI-enabled solutions within engineering workflows.</li></ul> Requirements: Minimum Required Qualifications/Experience: <ul><li>Bachelor’s Degree in Electrical Engineering or equivalent.</li><li>10–13 years of relevant experience in semiconductor or industrial facilities.</li></ul> Must Have Technical Skills: <ul><li>Strong expertise in electrical distribution systems (HV/MV/LV).</li><li>Experience with critical systems (UPS, generators, sag mitigation).</li><li>Proficiency in system modeling, analysis, and reliability engineering.</li><li>Experience in design review and construction project support.</li></ul> Must Have Soft Skills: <ul><li>Strong leadership and influencing skills.</li><li>Excellent communication and stakeholder management.</li><li>Ability to prioritize and drive multiple initiatives concurrently.</li><li>Strategic problem-solving capability.</li><li>AI Requirements</li><li>Ability to leverage AI tools for engineering analysis, operational improvements, and reporting.</li><li>Highly Desirable / Preferred</li><li>Experience leading regional/global engineering initiatives.</li><li>Knowledge of sustainability programs and green infrastructure.</li><li>Professional Engineer (PE) certification or equivalent.</li></ul>

Responsibilities: <ul><li>Partner with Account Executives / Strategic Account Managers to research prospects, shape pursuit strategies, and drive opportunities from qualification through close (new business and expansion), including positioning, objection handling, driving stakeholder alignment.</li><li>Engage managing partners, practice chairs, firm leadership, and senior in-house counsel to understand priorities and position us as a trusted partner in legal AI and workflow transformation.</li><li>Lead senior-level discovery and structured workflow analysis to diagnose challenges, map decision makers / champions, and identify value levers, inefficiencies, and measurable ROI opportunities.</li><li>Translate legal workflows into clear, commercially compelling use cases and solution strategies, aligned to practice areas and client strategic objectives.</li><li>Design and deliver tailored, insight-led demonstrations and high-impact presentations that connect workflow insight, product capability, and commercial outcomes across 1:1, small group, and large group settings.</li><li>Develop bespoke proof-of-concept engagements to validate value and build confidence; serve as the Voice of the Customer by partnering with product/engineering/marketing/strategy, informed by customer/competitor/market research, and represent us at industry events and executive briefings.</li></ul> Requirements: <ul><li>For US-based employee, have a JD</li><li>For UK-based coverage, be a Qualified Solicitor (England &amp; Wales) with 3+ years PQE • 3+ years of experience in leading law firm (Top 50) or in-house experience in large corporation</li><li>Background in corporate, finance, disputes/litigation, or other complex practice areas with demonstrable client-facing experience (preferred).</li><li>Have experience establishing credibility with partners, firm leadership, and senior in house counsel through strong executive presence, legal expertise, and AI fluency.</li><li>Deliver persuasive, insight-led presentations and demonstrations that engage both legal and business stakeholders (including impromptu whiteboard-style and formal presentations/demos).</li><li>Demonstrate a deep understanding of legal workflows, legal service delivery models, and emerging legal technology trends - able to translate this into tailored, workflow-specific value narratives.</li><li>Demonstrate curiosity, intellectual enthusiasm, and conviction about how AI and legal technology can transform legal workflows and client delivery.</li><li>Operate effectively in a target-driven, revenue-accountable role with a clear commercial mindset (pipeline/revenue ownership).</li><li>Collaborate effectively across teams (sales, marketing, product, client success) to deliver unified client engagement strategies. Sales or customer-facing experience (including law firm business development, secondment, or experience directly managing law firm client matters/relationships) is a plus.</li><li>Partner with Account Executives / Strategic Account Managers to research prospects, shape pursuit strategies, and drive opportunities from qualification through close (new business and expansion), including positioning, objection handling, driving stakeholder alignment.</li><li>Engage managing partners, practice chairs, firm leadership, and senior in-house counsel to understand priorities and position us as a trusted partner in legal AI and workflow transformation.</li><li>Lead senior-level discovery and structured workflow analysis to diagnose challenges, map decision makers / champions, and identify value levers, inefficiencies, and measurable ROI opportunities.</li><li>Translate legal workflows into clear, commercially compelling use cases and solution strategies, aligned to practice areas and client strategic objectives.</li><li>Design and deliver tailored, insight-led demonstrations and high-impact presentations that connect workflow insight, product capability, and commercial outcomes across 1:1, small group, and large group settings.</li><li>Develop bespoke proof-of-concept engagements to validate value and build confidence; serve as the Voice of the Customer by partnering with product/engineering/marketing/strategy, informed by customer/competitor/market research, and represent us at industry events and executive briefings.</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>

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48 modeling and simulation Jobs found

Lead Quality Automation Engineer

Murex Senior EOD ( AVP )

Product Specialist – Implements

Planning and Control Planner

Financial Reporting and Accounting Lead

Consultant, Data Analytics & Reporting-Food

Staff Electrical Engineer (Global Facilities Engineering)

Staff Engineer, Electrical – Global Facilities Engineering

Strategic Business Development Lead

Forward Deployed AI Strategist

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48 modeling and simulation Jobs found

Lead Quality Automation Engineer

Murex Senior EOD ( AVP )

Product Specialist – Implements

Planning and Control Planner

Financial Reporting and Accounting Lead

Consultant, Data Analytics & Reporting-Food

Staff Electrical Engineer (Global Facilities Engineering)

Staff Engineer, Electrical – Global Facilities Engineering

Strategic Business Development Lead

Forward Deployed AI Strategist

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

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