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ai platform & application engineer

ai solutions lead

Acenet consulting

<div><div>Experience: 10 to 15 years
 
Location: Abu Dhabi
 
Job code: 101384
 
Posted on: Dec 08, 2025 
</div> 
About Us: 
AceNet Consulting is a fast-growing global business and technology consulting firm leveraging a consultative approach, deep domain expertise and strong technology capabilities across business transformation, IT strategy &amp; architecture, digital transformation, data engineering &amp; analytics, AI/ML, cloud &amp; infrastructure, enterprise applications and emerging technologies to deliver value to our global clients. AceNet&rsquo;s marquee clients include Tier-1 and Tier-2 banking &amp; financial services, asset &amp; wealth management, healthcare, consumer retail, eCommerce &amp; logistics, engineering, government &amp; public sectors, consulting and technology firms. With presence across Abu Dhabi UAE, Texas USA and India (Bangalore, Gurgaon &amp; Pune), AceNet brings strong consulting and delivery capabilities across project staffing, managed services, outsourcing and offshoring. 
 
Job Summary: 
We are looking for an AI Solutions Lead to support our ongoing critical project activities. The ideal candidate is responsible for lead the architecture, design, and end-to-end delivery of complex AI/ML solutions and translate business requirements into scalable and secure AI system architectures.
<div>Key Responsibilities: 
<ul><li>Lead the architecture, design, and end-to-end delivery of complex AI/ML solutions.</li><li>Define and implement AI strategy in alignment with enterprise goals and digital transformation initiatives.</li><li>Translate business requirements into scalable and secure AI system architectures.</li><li>Oversee the development and deployment of AI/ML models in production environments.</li><li>Guide data scientists, engineers, and developers in adopting AI best practices and technologies.</li><li>Drive MLOps and AI lifecycle automation including model training, versioning, testing, deployment, and monitoring.</li><li>Design AI solutions integrated with enterprise platforms (Microsoft, Salesforce, ERP, CRM, data lakes, APIs).</li><li>Ensure responsible AI practices, including ethical considerations, bias mitigation, and regulatory compliance.</li><li>Collaborate with C-level stakeholders and business units to assess use cases, prioritize projects, and define success metrics.</li><li>Mentor and lead technical teams; influence architectural decisions across business units.</li></ul></div>
<div>Role Requirements and Qualifications: 
1.AI/ML Expertise: 
<ul><li>Strong knowledge of machine learning, deep learning, NLP, computer vision, and generative AI.</li><li>Hands-on experience with frameworks like TensorFlow, PyTorch, Scikit-learn, Hugging Face, OpenAI APIs.</li></ul>
2.Architecture &amp; System Design: 
<ul><li>Proven experience in designing scalable and secure cloud-native AI solutions.</li><li>Deep understanding of microservices, APIs, event-driven architectures, and real-time inference systems.</li></ul>
3.MLOps &amp; DevOps: 
<ul><li>Experience with tools like MLflow, Kubeflow, Airflow, SageMaker Pipelines, Vertex AI Pipelines.</li><li>Knowledge of CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes).</li></ul>
4.Data &amp; Integration: 
<ul><li>Familiarity with data engineering tools (Spark, Kafka), data lakehouses (Delta Lake, Snowflake), and ETL pipelines.</li><li>Ability to integrate AI with enterprise platforms and legacy systems via RESTful APIs or middleware.</li><li>Strong leadership experience managing multidisciplinary AI/ML teams.</li><li>Ability to drive architecture governance, code quality, and technical standards.</li><li>Excellent communication and presentation skills to influence technical and non-technical stakeholders.</li><li>Strategic thinker with a passion for AI innovation and enterprise transformation.</li></ul>
 
Preferred Experience: 
<ul><li>10+ years of experience in software or data architecture roles, with 4&ndash;5 years focused on AI/ML.</li><li>Track record of delivering AI projects at scale in one or more of the following domains: financial services, healthcare, government, telecom, or retail.</li><li>Familiarity with regulatory frameworks for data and AI (e.g., GDPR, HIPAA, ISO 42001).</li><li>Preferred Certifications:</li><li>AWS Certified Machine Learning &ndash; Specialty</li><li>Microsoft Azure AI Engineer Associate</li><li>Google Professional Machine Learning Engineer</li><li>TOGAF or other architecture frameworks (optional but valuable)</li><li>Responsible AI or ethical AI certifications (optional)</li></ul></div>
<div>Why Join Us: 
<ul><li>Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.</li><li>Continuous investment in employee growth and professional development with a strong focus on up &amp; re-skilling.</li><li>Competitive compensation &amp; benefits, ESOPs and international assignments.</li><li>Supportive environment with healthy work-life balance and a focus on employee well-being.</li><li>Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.</li></ul></div>
How to Apply: 
If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position.</div>

AI Solutions Lead

Nagarro

<div>Job Description 
We&rsquo;re hiring an AI Product Leader to drive AI Factory programs for major UAE public-sector clients. This high-impact role combines AI strategy, technical consulting, and product leadership, requiring strong Generative AI expertise and the ability to engage confidently with C-suite executives.
What You&rsquo;ll Do:<ul><li>
Define AI vision, strategy, and roadmaps aligned with national priorities.</li><li>
Lead end-to-end delivery of AI Factory projects&mdash;from ideation to deployment.</li><li>
Own product requirements, technical specs, and success metrics.</li><li>
Advise senior stakeholders and present executive-ready recommendations.</li><li>
Ensure solutions are scalable, secure, and compliant with Responsible AI standards.</li></ul>
Must-Have Skills:<ul><li>
Generative AI fundamentals (LLMs, RAG, prompt engineering).</li><li>
Technical consulting and executive advisory experience.</li><li>
Exceptional communication and collaboration skills.</li></ul>
Nice-to-Have:<ul><li>
DevOps for GenAI, AI solution design experience</li></ul>
Qualifications:<ul><li>
8&ndash;12+ years in AI product leadership or consulting; 3&ndash;5+ years advising executives.</li><li>
Track record of delivering AI solutions in regulated/public-sector environments.</li><li>
Bachelor&rsquo;s in CS/Engineering; Master&rsquo;s preferred. Arabic proficiency is a plus.</li></ul>
Join us to shape the future of AI in the UAE public sector and deliver solutions that transform citizen services.</div>

AI Product Leader/AI Technical Strategy Consultant

<div>Job Description 
Lead the engineering, deployment, and scaling of enterprise-grade AI platforms. Build production-ready GenAI, RAG, and ML systems, mentor engineers, and ensure reliability and observability across AI operations.
Key Responsibilities:<ul><li>
Architect and implement Conversational AI, LLM agents, multi-agent workflows, and automation frameworks.</li><li>
Develop APIs/SDKs for enterprise AI services and optimize RAG pipelines with vector DB integrations.</li><li>
Drive MLOps on Azure: CI/CD, monitoring, retraining, and performance tuning.</li><li>
Translate research into applied solutions and lead PoC evaluations.</li><li>
Manage end-to-end delivery, UAT, and production rollout readiness.</li></ul>
Must-Have Skills:<ul><li>
Data Science on Azure, Generative AI Fundamentals, Machine Learning Solution Design</li><li>
Python (Strong) and advanced RAG Workflow experience</li><li>
Hands-on with agentic workflows and scalable LLM integrations</li></ul>
Arabic proficiency is a plus.</div>

Lead Gen AI Engineer

Deeplight

<div>DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
The Project Lead drives the design, delivery, and operational rollout of an internal AI-powered text-to-SQL query platform that enables natural language access to enterprise data across multiple BI systems. This role sits at the intersection of LLM engineering, semantic data modeling, BI metadata management, and pragmatic delivery leadership.
The role leads a focused 5&ndash;7 person team to deliver a production-ready conversational query layer in a fast-paced window. This role requires an individual who thrives on execution, cuts through complexity, and knows how to ship working AI solutions quickly and safely.
Key Responsibilities of the role include:
AI &amp; Data Delivery<ul><li>
Lead end-to-end delivery of an internal conversational AI interface that converts natural language questions into SQL queries.</li><li>
Drive the evaluation and implementation of semantic model generation approaches (vendor-based and in-house custom development).</li><li>
Build and operationalize a query stack hosted inside the company&rsquo;s VPC.</li></ul>
Semantic Layer &amp; BI Integration<ul><li>
Design, refine, and implement a semantic layer that supports accurate text-to-SQL translation.</li><li>
Integrate the solution across existing BI platforms (MicroStrategy, Power BI, Tableau) without requiring tool migration.</li><li>
Ensure alignment with enterprise data governance and the company&rsquo;s &ldquo;Data for AI&rdquo; initiative.</li></ul>
Vendor &amp; Tooling Strategy<ul><li>
Assess capabilities of MicroStrategy&rsquo;s AI features, Microsoft Azure-native tools, and emerging startup solutions.</li><li>
Provide a balanced BI tooling recommendation based on operational needs and platform capabilities.</li><li>
Mitigate vendor lock-in by evaluating multiple options and architecting flexible solutions.</li></ul>
Cross-Functional Leadership<ul><li>
Work with domain SMEs in Finance and Retail to incorporate business context into the semantic layer.</li><li>
Collaborate with internal data, BI, and AI engineering teams.</li><li>
Provide clear, actionable updates to senior leadership with a bias toward rapid decision-making.</li></ul>
Requirements<ul><li>
7&ndash;12+ years in Data Engineering, ML Engineering, Data Architecture, or Applied AI.</li><li>
Hands-on experience with:</li><li><ul><li>
Text-to-SQL or NL-to-query systems</li></ul></li><li><ul><li>
Conversational AI (LLMs, prompt engineering, fine-tuning)</li></ul></li><li><ul><li>
Semantic modeling, MDM concepts, ontologies, or BI metadata layers</li></ul></li></ul><ul>
<li><ul><li>SQL and BI ecosystems (Power BI, Tableau, MicroStrategy)</li></ul></li>
<li><ul><li>Comfortable integrating LLMs with data warehouses, APIs, and enterprise cloud environments.</li></ul></li>
<li><ul><li>Demonstrated success delivering complex AI/data projects under compressed timelines.</li></ul></li>
<li><ul><li>Fast, pragmatic decision-maker who avoids analysis paralysis.</li></ul></li>
<li><ul><li>Strong cross-functional communication and stakeholder management skills.</li></ul></li>
<li><ul><li>Experience leading small, high-performance engineering teams.</li></ul></li>
</ul>
It would be great if you also have;<ul><li>
A background in Microsoft Azure ecosystem or Azure OpenAI.</li><li>
Previous exposure to Microsoft Fabric, dbt, semantic modeling tools, or metadata automation platforms.</li><li>
Previous experience building internal copilots or enterprise LLM applications.</li></ul>
Please note: This is a 6 month Fixed term contractually initially, with the potential to extend.
Benefits
Benefits &amp; Growth Opportunities:<ul><li>Competitive salary and performance bonuses</li><li>Comprehensive health insurance</li><li>Professional development and certification support</li><li>Opportunity to work on cutting-edge AI projects</li><li>Flexible working arrangements</li><li>Career advancement opportunities in a rapidly growing AI company</li></ul>
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.
At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.
If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.</div>

Project Lead (AI Text-to-SQL & Semantic Layer)

<div>Title:
Digitalization and Artificial Intelligence Engineer
Belong, Connect, Grow, with KBR!
The KBR team of teams delivers future-forward science, technology and engineering solutions and mission-critical services that help governments and companies around the world accomplish their most important objectives, while also helping achieve their sustainability goals.
KBR Sustainable Technology Solutions provides holistic and value-added solutions across the entire asset life cycle. These include world-class licensed process technologies, differentiated advisory services, deep technical domain expertise, energy transition solutions, high-end design and engineering capabilities, and smart solutions to optimize planned and operating assets.
We are urgently seeking a Digitalization and Artificial Intelligence Engineer to be based in Spain Location in the EPC contractor&rsquo;s office for an Offshore client.
Job Title: Digitalization and Artificial Intelligence Engineer
Location: Madrid, Spain 
Project: LZ LTDP-1 
Department: Engineering / Digital Transformation 
Reports To: Project Manager<div></div>
Job Description:
Review the Asset Design with respect to Digital and AI gaps. The engineering design review includes whole asset from Well downhole to facilities and to oil export. Digital and AI review shall include all domains from production to operations, maintenance, integrity, HSE, logistics etc. AI design review includes the review of instrumentation at assets, closed loops at process facilities, process optimization, edge computing, autonomous operations, predictive maintenance, automated data QC validation, robotics, drones, smart HSE protocols etc. Identify the AI use cases and provide recommendations to deploy AI enabled technologies at wellheads and facilities. Ensure the recommendations are implemented by Contractors and vendors. Lead the Digital and AI design thinking workshops and provide the recommendations Evaluation of AI technologies provided by OEMs and vendors. Evaluate the value realization from those technologies and ensure the compliance as per Autonomous operations requirements. Work with all business units within ADNOC to ensure the AI technologies add value to their day-to-day operations Liaise with Instrumentation and control OEMs to ensure the integration of new AI apps with existing systems Liaise with IT and OT teams to deploy the AI enabled technologies and their integration keeping compliance with Cybersecurity protocols.
Key Responsibilities:
Design &amp; Engineering<ul><li>
Develop and maintain the Digital and AI Design Philosophy and Design Basis in alignment with ADNOC standards.</li><li>
Prepare and issue digital design documentation including specifications, data sheets, and functional requirement catalogues.</li><li>
Identify and select appropriate digital and AI technologies for implementation.</li></ul>
Integration &amp; Implementation<ul><li>
Define and implement integration strategies with existing ADNOC systems such as Panorama.</li><li>
Ensure seamless integration of various digital solutions into a common user-friendly platform.</li><li>
Design plant facilities to accommodate selected digital and AI technologies.</li></ul>
Infrastructure &amp; Compliance<ul><li>
Identify required IT infrastructure and ensure compliance with:<ul><li>
Wireless Infrastructure (AGES-SP-12-003)</li><li>
Wireless Instrumentation System (AGES-SP-04-019)</li></ul></li><li>
Ensure cybersecurity compliance for autonomous operations with Cyber Security Design (CSD).</li></ul>
Execution &amp; Commissioning<ul><li>
Oversee procurement, installation, testing, and commissioning of digital and AI solutions.</li><li>
Prepare and manage detailed implementation schedules including PO placements, FAT/SAT, and site installation timelines.</li></ul>
Technology &amp; Innovation<ul><li>
Promote adoption of edge computing and autonomous operation programs.</li><li>
Interface with AIQ products, RoboWell (AWC), ESP, AR360, Machinery Lab, and Neuron Project.</li><li>
Integrate drones and robotics as part of the digitalization scope.</li></ul>
Guidelines &amp; Standards<ul><li>
Ensure adherence to ADNOC&rsquo;s AI P5 Guidelines and instrumentation standards:<ul><li>
Wells &amp; Surface Facilities Instrumentation</li><li>
Real-time Data Mapping</li><li>
Domain Data Requirements</li><li>
Collaborative Working Environment</li><li>
Change Management &amp; Communication</li><li>
Telecommunication Infrastructure</li></ul></li></ul><div></div>
Qualifications &amp; Experience:<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Engineering, Computer Science, or related field.</li><li>
Minimum 8 years of experience in digitalization, AI integration, or smart plant technologies within oil &amp; gas or industrial sectors.</li><li>
Proven experience in EPC project environments and multi-disciplinary coordination.</li><li>
Strong knowledge of industrial automation, edge computing, and AI platforms.</li><li>
Familiarity with ADNOC systems and standards is highly desirable.</li></ul><div></div>
Skills &amp; Competencies:<ul><li>
Strong analytical and problem-solving skills.</li><li>
Excellent communication and documentation abilities.</li><li>
Project management and scheduling expertise.</li><li>
Ability to work collaboratively across disciplines and with subcontractors.</li><li>
Cybersecurity awareness and data governance understanding.</li></ul></div>

Digitalization and Artificial Intelligence Engineer

Contango

<div><h2 class="jobSectionHeader">Role Purpose</h2>
The Vice President of Commercial is responsible for defining, driving, and executing QData&rsquo;s commercial strategy across all revenue-generating business lines. This includes monetization of AI and data platform services, professional services, embedded/managed services, advisory offerings, and long-term commercial partnerships with ADQ entities and external clients. The role leads all commercial planning, pricing, sales execution, account management, and revenue forecasting, ensuring that QData achieves sustainable growth, strong margins, and high client satisfaction.
This role functions as the commercial engine of QData, shaping go-to-market strategy, building commercial capabilities, developing scalable sales motions, and converting QData&rsquo;s technology and solutions into revenue. The VP of Commercial acts as the primary business partner for CEOs, CFOs, CIOs, and senior leaders across government and regulated industries.<h1 class="jobSectionHeader">
Key Responsibilities</h1><h2 class="jobSectionHeader">
1. Commercial Strategy &amp; Revenue Leadership</h2><ul>
<li>Define QData&rsquo;s commercial strategy across platform subscriptions, AI solutions, data products, professional services, embedded delivery, and managed service offerings.</li>
</ul><ul><li>Translate company vision into clear revenue plans with measurable targets, growth objectives, and pricing/packaging models.</li>
</ul><ul><li>Develop short-, mid-, and long-term revenue forecasts aligned with QData&rsquo;s strategic priorities.</li>
</ul><ul><li>Establish commercial frameworks that support scale across 60+ government and enterprise entities. 
</li>
</ul><h2 class="jobSectionHeader">2. Sales &amp; Go-To-Market Execution</h2><ul>
<li>Build and lead the commercial organization, covering sales, pre-sales, commercial operations, and account management.</li>
</ul><ul><li>Develop and execute GTM strategies for AI and data solutions, including segmentation, value propositions, and multi-channel engagement.</li>
</ul><ul><li>Oversee deal structuring, proposals, RFP responses, commercial negotiations, and contract closure.</li>
</ul><ul><li>Implement a disciplined pipeline management framework with rigorous forecasting and opportunity qualification. 
</li>
</ul><h2 class="jobSectionHeader">3. Product &amp; Services Monetization</h2><ul>
<li>Define pricing models for:</li>
</ul><ul><li>AI platform and data platform services</li>
</ul><ul><li>Federated data catalog subscriptions</li>
</ul><ul><li>Professional &amp; embedded services</li>
</ul><ul><li>Advisory &amp; consulting offerings</li>
</ul><ul><li>Managed services and SLAs</li>
</ul><ul><li>Enterprise AI product bundles</li>
</ul><ul><li>Work with the VP of Data and VP Technology to commercialize new data products and platform features. 
</li>
</ul><h2 class="jobSectionHeader">4. Account Management &amp; Client Success</h2><ul>
<li>Establish an account management function to drive retention, cross-sell, upsell, and long-term commercial growth.</li>
</ul><ul><li>Personally lead executive engagement with priority government entities and ADQ OpCos.</li>
</ul><ul><li>Ensure high customer satisfaction, predictable renewals, and value realization across all revenue lines.</li>
</ul><ul><li>Build strategic partnerships with hyperscalers, global tech vendors, and channel partners where beneficial. 
</li>
</ul><h2 class="jobSectionHeader">5. Revenue Operations &amp; Commercial Governance</h2><ul>
<li>Oversee commercial operations, including pricing governance, deal review, contracting standards, and margin analysis.</li>
</ul><ul><li>Implement commercial KPIs, dashboards, metrics, and performance systems.</li>
</ul><ul><li>Ensure compliance with procurement rules, PDPL, sovereign cloud requirements, and government contracting standards.</li>
</ul><ul><li>Establish approval workflows and guardrails to ensure deals are profitable and aligned with QData&rsquo;s mission. 
</li>
</ul><h2 class="jobSectionHeader">6. Leadership &amp; Organizational Development</h2><ul>
<li>Build and scale a high-performing commercial organization with strong sales culture, accountability, and discipline.</li>
</ul><ul><li>Mentor commercial directors, account leads, solution consultants, and pre-sales teams.</li>
</ul><ul><li>Establish compensation models, incentives, and performance structures aligned with QData objectives.</li>
</ul><ul><li>Foster a culture of collaboration with Product, Solutions, Data, and Technology teams. 
</li>
</ul><h1 class="jobSectionHeader">Required Technical Competencies</h1><ul>
<li>Commercial Strategy (CMST) &ndash; Level 7 
Ability to define commercial frameworks, pricing, GTM strategies, and monetization plans.</li>
</ul><ul><li>Sales &amp; Business Development (SABD) &ndash; Level 6 
Deep experience in enterprise sales, government sales, or strategic account management.</li>
</ul><ul><li>Portfolio &amp; Offering Management (POMG) &ndash; Level 6 
Skilled in packaging services and products into commercial offerings.</li>
</ul><ul><li>Contract &amp; Commercial Negotiation (CNEG) &ndash; Level 6 
Expertise in negotiating complex enterprise, public-sector, and multi-year contracts.</li>
</ul><ul><li>Data &amp; AI Market Understanding (DAIM) &ndash; Level 5 
Familiarity with AI platforms, data platforms, and enterprise technology solutions.</li>
</ul><ul><li>Financial Acumen (FINM) &ndash; Level 6 
Strong capability in revenue forecasting, P&amp;L understanding, margin analysis, and commercial governance. 
</li>
</ul><h1 class="jobSectionHeader">Preferred Technical Competencies</h1><ul>
<li>Government Relations &amp; Public Sector Sales 
Experience engaging ministries, regulators, and government procurement.</li>
</ul><ul><li>Partner Ecosystem Management 
Ability to structure alliances with hyperscalers, consulting firms, and technology providers.</li>
</ul><ul><li>SaaS / Platform Commercial Models 
Understanding of subscription, consumption-based, and tiered pricing.</li>
</ul><ul><li>AI &amp; Data Monetization 
Ability to translate AI capabilities into clear commercial value propositions. 
</li>
</ul><h1 class="jobSectionHeader">Required Behavioural Competencies</h1><ul>
<li>Executive Communication &amp; Influence 
Engages credibly with boards, CEOs, ministers, and senior executives.</li>
</ul><ul><li>Strategic Thinking with Operational Discipline 
Balances long-term growth strategy with daily pipeline management and revenue execution.</li>
</ul><ul><li>Relationship Builder &amp; Trusted Advisor 
Builds long-term relationships that drive recurring revenue and retention.</li>
</ul><ul><li>Commercial Drive &amp; Accountability 
Strong results orientation; takes ownership of revenue performance and targets.</li>
</ul><ul><li>Collaboration 
Works cross-functionally with Product, Solutions, Data, and Technology.</li>
</ul><ul><li>Resilience &amp; Adaptability 
Operates effectively in a fast-moving, high-visibility, government-backed environment.</li>
</ul><h1 class="jobSectionHeader">Experience &amp; Education Requirements</h1><h3 class="jobSectionHeader">
Experience</h3><ul>
<li>15+ years in commercial leadership roles within enterprise technology, AI/data, digital transformation, or consulting.</li>
</ul><ul><li>Proven track record of achieving significant annual revenue targets and leading commercial functions.</li>
</ul><ul><li>Experience selling into government, regulated industries, or large enterprise accounts.</li>
</ul><ul><li>Demonstrated success building commercial organizations (sales, account management, pre-sales, revenue operations).</li>
</ul><ul><li>Strong experience in pricing, commercial modelling, negotiation, and contracting.</li>
</ul><ul><li>Familiarity with sovereign cloud, data governance, AI platforms, or analytics products is a significant advantage. 
</li>
</ul><h3 class="jobSectionHeader">Education</h3><ul>
<li>Bachelor&rsquo;s degree in Business, Engineering, Computer Science, Economics, or related field (required).</li>
</ul><ul><li>Master&rsquo;s degree (MBA or equivalent) preferred.</li>
<li>Certifications in sales methodologies (Miller Heiman, MEDDIC, Consultative Selling) are a plus.</li>
<li>
</li></ul>Disclaimer:
This job posting is not open to recruitment agencies. Any candidate profile submitted by a recruitment agency will be considered as being received directly from an applicant. Contango reserves the rights to contact the candidate directly, without incurring any obligations or liabilities for payment of any fees to the recruitment agency.</div>

QData - VP of Commercials

Quantum One | Q One

<div>
 
 Quantum One is seeking a Manager to lead AI transformation engagements.
 
 
 In this role, you will act as the bridge between advanced technical possibility and client business value. You will not only architect the solution but also own the client relationship, ensuring that our delivery meets the highest standards of quality and drives measurable commercial impact.
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Lead Client Engagements: Own the end-to-end delivery of complex AI workstreams. Manage project scope, timelines, and deliverables while maintaining a relentless focus on value realization for the client.
 </li>
 <li>
 Translate Business to Technical: Partner with client executives (VPs, Directors) to diagnose ambiguous business challenges. Translate these needs into rigorous, actionable technical roadmaps that your team can execute.
 </li>
 <li>
 Manage Stakeholders &amp; Expectations: Act as a trusted advisor to the client. Navigate complex organizational dynamics, present findings to non-technical C-suite audiences, and expertly manage expectations regarding feasibility and impact.
 </li>
 <li>
 Drive Practice Growth: Identify new opportunities within client accounts by demonstrating the potential value of further AI/Data interventions. Contribute to the firm&rsquo;s intellectual property by codifying successful methodologies.
 </li>
 </ul>
 
 
 
 
 
 What You Bring:
 
 
 <ul>
 <li>
 6+ years of experience in data science consulting or high-velocity AI product development, with a proven track record of managing client-facing engagements.
 </li>
 <li>
 Exceptional ability to synthesize complex analytical results into clear, persuasive business narratives.
 </li>
 <li>
 You can explain why a model matters, not just how it works.
 </li>
 <li>
 A history of delivering solutions that survived "slide-ware" and made it to production, resulting in measurable ROI for the business.
 </li>
 <li>
 Bachelor&rsquo;s degree in Engineering, Physics, Economics, or a related quantitative field (MBA or Advanced Technical Degree is a strong plus).
 </li>
 </ul>
 
 
</div>

Manager

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