ai project manager

DataRobot

<div>Job Description:
DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business &mdash; today and in the future.
DataRobot&rsquo;s Senior Forward Deployed Engagement Manager leads the delivery of our most advanced customer initiatives. In this high-impact role, you will be the captain of the ship for enterprise customer engagements, specifically focusing on the deployment of Agentic AI and Generative AI solutions.
You are not just a project manager; you are a technical translator and a strategic partner. You will sit at the intersection of business strategy and engineering execution, guiding our customers through the complexities of adopting autonomous AI agents. Drawing on a background in software engineering or solution architecture, you will effectively manage technical risk while using your business acumen to ensure every project delivers measurable ROI. 
Key Responsibilities:<ul><li>
Lead Complex AI Engagements: Own the end-to-end delivery lifecycle for high-stakes professional services engagements. You will manage the scope, timeline, budget, and execution of projects building GenAI agents and predictive solutions.</li><li>
Bridge Business &amp; Technology: Act as the primary translation layer between client business stakeholders (up to the C-suite) and DataRobot&rsquo;s technical delivery team (AI Engineers and Data Scientists). You will ensure business goals are accurately translated into technical requirements.</li><li>
Technical Risk Management: Leverage your technical background to identify implementation risks early&mdash;whether related to data infrastructure, API integrations, or agent logic&mdash;and work with the engineering team to mitigate them before they impact the critical path.</li><li>
Stakeholder Management: cultivate strong, trusted relationships with client sponsors. You will manage expectations, handle escalations, and navigate complex organizational dynamics to ensure project success.</li><li>
Drive Adoption &amp; Change: Go beyond delivery by helping customers understand how to operationalize and adopt Agentic workflows, advising on process changes required to integrate AI agents into their daily operations.</li><li>
Agile Delivery: Run agile sprints, stand-ups, and sprint reviews, ensuring the delivery team maintains high velocity and clear direction.</li></ul> 
Knowledge, Skills and Abilities:
Technical Fluency:<ul><li>
Understanding of system architectures, API integrations, and cloud infrastructure</li><li>
Ability to engage in discussions on the software development lifecycle (SDLC) with engineering teams</li><li>
Familiarity with GenAI and Agentic systems (e.g., non-deterministic behavior, latency trade-offs, MCP servers, RAG architectures)</li></ul>
Business Acumen:<ul><li>
Ability to define KPIs, measure ROI, and align technical outputs with strategic business objectives</li></ul>
Consulting Mindset (&ldquo;Consulting DNA&rdquo;):<ul><li>
Disciplined approach to project governance, documentation, and client communication</li></ul> 
Requisite Education and Experience / Minimum Qualifications:
Related Experience:<ul><li>
7+ years of professional experience, including delivery of complex software or data products for enterprise clients</li></ul>
Hybrid Background:<ul><li>
Experience in technical roles (e.g., Software Engineer, Solution Architect, Technical Lead) with progression into client-facing leadership roles (e.g., Engagement Manager, Technical Program Manager, Product Owner)</li></ul>
AI/ML Experience:<ul><li>
Experience managing data science or machine learning projects</li></ul>
Education:<ul><li>
Technical undergraduate degree (Computer Science, Engineering, or similar); MBA preferred</li></ul>
Certifications:<ul><li>
PMP, Scrum Master (CSM), or cloud certifications (AWS, Azure, GCP) preferred</li></ul>
Consulting Experience:<ul><li>
Experience working within a management consulting or technology consulting environment (Big 4 or boutique)</li></ul>
The talent and dedication of our employees are at the core of DataRobot&rsquo;s journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees&rsquo; well-being at the core. Here&rsquo;s what your benefits package may include depending on your location and local legal requirements: Medical, Dental &amp; Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more!
DataRobot Operating Principles:<ul><li>
Wow Our Customers</li><li>
Set High Standards</li><li>
Be Better Than Yesterday</li><li>
Be Rigorous</li><li>
Assume Positive Intent</li><li>
Have the Tough Conversations</li><li>
Be Better Together</li><li>
Debate, Decide, Commit</li><li>
Deliver Results</li><li>
Overcommunicate</li></ul> 
Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box. We&rsquo;d love to have a conversation with you and see if you might be a great fit.
DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor&rsquo;s EEO poster and EEO poster supplement for additional information. 
Use of Artificial Intelligence in Our Hiring Process 
DataRobot uses approved AI-powered tools to support the hiring process in selected regions. These tools may assist in writing job descriptions, reviewing applications, assessing qualifications, and evaluating candidate materials. All decisions regarding applications are made by members of the DataRobot team. 
All applicant data submitted is handled in accordance with our Applicant Privacy Policy.</div>

Senior Engagement Director

Dizzaract FZ LLC

01. ABOUT THE COMPANYDizzaract is a product-driven company operating at the intersection of gaming, digital platforms, and AI. We build and scale multiple products &mdash; including Farcana 2.0, Gamed, and FAR Labs &mdash; each exploring a different space, but united by a shared approach: moving fast, staying curious, and focusing on things that people actually use. We operate as a collaborative, non-hierarchical team where ideas are valued based on their impact, not their origin, and where AI is embedded across everything we build &mdash; from infrastructure to product decisions.02. ABOUT THE ROLEGAMED is an AI-as-a-Service (AIaS) platform and a unified operating system for the modern global gamer. We are building the foundational AI infrastructure layer for the global gaming ecosystem, aggregating a player's entire gaming footprint into a single unified identity known as the Gamer Passport. Powered by our proprietary 3-Tier AI Swarm Technology, the platform transforms gaming from a fragmented activity into a structured, financially rewarding career ecosystem. Following massive organic traction of our Telegram MVP (883K+ users), we are scaling toward full Web and Mobile platform launches.We are looking for a hands-on Project Manager who actually builds and delivers things. Not a &quot;strategy only&quot; person. You will own the project delivery lifecycle, manage cross-functional teams, and resolve bottlenecks as we scale from our MVP to mass market platforms.03. WHO YOU ARE<ul><li>Product Delivery Owner</li></ul>You understand how to take a product from MVP to mass scaling, managing technical launches and full platform rollouts.<ul><li>Agile &amp; Performance Driver</li></ul>You have proven experience implementing performance management frameworks, especially OKRs, and running Agile/Scrum processes for cross-functional teams.<ul><li>Technical Integrator</li></ul>You understand modern software development, cloud native architecture, and can coordinate complex integrations with major platforms (Steam, Epic Games, PlayStation, Xbox) via OAuth 2.0 and APIs.<ul><li>AI &amp; Gaming Native</li></ul>You understand game development, platform infrastructure, and AI products &mdash; particularly AI-as-a-Service and autonomous agent systems.<ul><li>Problem Solver</li></ul>You switch seamlessly between technical discussions, timeline planning, and product strategy, identifying risks and removing blockers at 11 pm if needed.04. RESPONSIBILITIES<ul><li>Project Lifecycle Management</li></ul>Own the end-to-end project delivery for the GAMED platform, ensuring full Web and Mobile platform launches.<ul><li>Agile Execution</li></ul>Run Agile/Scrum processes for cross-functional teams (engineering, AI, product, design) building the Gamer Passport and AIaS platform.<ul><li>Platform Integration</li></ul>Coordinate and track complex integrations with major gaming platforms (Steam, Epic Games, PlayStation, Xbox) and mobile app stores.<ul><li>Timeline &amp; Deliverables</li></ul>Manage timelines for our 3-Tier AI Swarm Technology development, cross-platform digital asset marketplace, and subscription monetization rollout.<ul><li>Metrics &amp; Reporting</li></ul>Track and report on key project metrics, ensuring alignment with our aggressive growth targets (aiming for 15M users by 2028).<ul><li>Cross-Functional Leadership</li></ul>Identify risks, remove blockers, and facilitate communication across a globally distributed team of AI operators and engineers. Keep ego out, ownership in.05. REQUIREMENTS<ul><li>Experience at Big Tech, top startups, or high-growth gaming/AI companies as a Project Manager or Scrum Master.</li><li>You've personally managed the delivery of live products, platforms, or games with 1&ndash;2 million MAU minimum.</li><li>Strong understanding of modern software development life cycles, cloud native architecture, and edge computing.</li><li>Deep knowledge of project management tools (Jira, Confluence) and Agile methodologies, with proven OKR implementation experience.</li><li>Real experience managing projects involving complex databases, frontend frameworks, and AI/LLM integrations.</li><li>Fluent English (C1 level), with the ability to express ideas spontaneously and discuss a wide range of topics with ease.</li><li>Must be located in commutable distance to Abu Dhabi, UAE, or willing to relocate.</li><li>Bachelor's or Master's in CS, Engineering, Business, or related field, or equivalent real-world experience.</li></ul>06. NICE TO HAVE<ul><li>Experience scaling a product from MVP to mass market.</li><li>PMP or Agile/Scrum certifications.</li><li>Experience working in fast-paced, AI-first, or gaming environments.</li></ul>07. WHAT WE OFFER<ul><li>Real ownership and direct impact on a global AI infrastructure product.</li><li>Fast execution, low bureaucracy, and a highly collaborative, idea-driven team.</li><li>Exposure to cutting-edge AI, gaming platforms, and digital asset economies.</li><li>Competitive salary with performance-based incentives.</li><li>24 days annual leave, plus public holidays.</li><li>Health insurance.</li><li>Modern office in Yas Creative Hub.</li><li>Continuous learning through real-world problem solving &mdash; not just theory.</li><li>The opportunity to shape what you're working on and influence product direction.</li><li>A diverse, open-minded team where ideas are genuinely heard.</li></ul>08. HOW TO APPLYAs part of your application, please share:<ul><li>A brief description of a complex digital product or platform you successfully scaled or launched.</li><li>An example of how you implemented OKRs or Agile processes to unblock a struggling cross-functional team.</li><li>Your approach to managing integrations with external APIs or third-party platforms.</li></ul>Work Location: In personWork Location: In person

Senior Product Manager

Quadra Plus

We are looking for a highly motivated and experienced PMI CPMAI Certified Professional to join our growing team. The ideal candidate should have strong knowledge of project management practices combined with AI-driven project delivery methodologies.Position: PMI CPMAI Certified ProfessionalLocation: Dubai, UAEExperience: 2+ YearsEmployment Type: Full-TimeKey Responsibilities:<ul><li>Apply AI-powered project management methodologies in real-world projects</li><li>Support project planning, execution, monitoring, and reporting activities</li><li>Utilize AI tools to improve project efficiency, productivity, and decision-making</li><li>Coordinate with stakeholders, clients, and project teams</li><li>Prepare project documentation, dashboards, and performance reports</li><li>Ensure projects are delivered within scope, timeline, and budget</li><li>Assist in process improvement and digital transformation initiatives</li></ul>Requirements:<ul><li>PMI CPMAI Certification is mandatory</li><li>Bachelor&rsquo;s degree in Project Management, Engineering, IT, Business, or related field</li><li>Strong understanding of project management frameworks and AI integration</li><li>Excellent communication and analytical skills</li><li>Knowledge of project management tools such as Primavera P6, MS Project, Jira, or similar platforms is an advantage</li><li>Ability to work in a fast-paced environment and manage multiple tasks</li></ul>Preferred Skills:<ul><li>AI-assisted project planning and reporting</li><li>Risk management and stakeholder management</li><li>Data analysis and reporting</li><li>Team collaboration and leadership skills</li></ul>Work Location: Remote

PMI CPMAI Certified Professional

InnovationTeam

<div>InnovationTeam is a forward-thinking technology company specialized in delivering advanced AI-driven solutions for enterprises and government organizations. We are currently seeking a highly skilled AI Team Lead to join our team onsite in Saudi Arabia.
As an AI Team Lead at InnovationTeam, you will be responsible for leading the design, development, implementation, and delivery of end-to-end AI solutions across multiple domains, including Generative AI, machine learning, deep learning, data science, computer vision, NLP, intelligent automation, and enterprise AI systems.
This role is not limited to Generative AI. It requires a strong technical background across modern AI technologies, hands-on experience in building production-ready AI solutions, and the leadership capability to manage AI engineers, data scientists, ML engineers, and cross-functional delivery teams.
The ideal candidate is a strong technical leader who can translate business requirements into scalable AI solutions, manage project execution, guide technical teams, communicate with stakeholders, and ensure successful delivery of AI initiatives within scope, timeline, and quality standards.
At InnovationTeam, we value innovation, ownership, collaboration, and continuous learning. We provide a dynamic work environment where technical excellence, leadership, and business impact are highly recognized. 
Requirements 
We are seeking an experienced AI Team Lead to lead onsite AI delivery in Saudi Arabia. The role involves managing AI projects, supervising technical teams, designing AI architectures, developing enterprise-grade solutions, and ensuring successful deployment of AI systems into production.
The candidate should have strong experience in Generative AI, machine learning, deep learning, data science, AI solution architecture, MLOps/LLMOps, cloud deployment, and project management.
Key Responsibilities<ul><li>
Lead the AI team in designing, developing, and delivering enterprise AI solutions.</li><li>
Manage AI projects from requirement gathering to production deployment.</li><li>
Translate business needs into technical AI solution designs and implementation plans.</li><li>
Design and supervise solutions involving Generative AI, LLMs, RAG systems, AI agents, NLP, machine learning, deep learning, and computer vision.</li><li>
Lead data science initiatives, including data analysis, feature engineering, model development, evaluation, and optimization.</li><li>
Build and oversee end-to-end AI pipelines, including data ingestion, preprocessing, model training, inference, monitoring, and continuous improvement.</li><li>
Guide the implementation of machine learning and deep learning models using frameworks such as PyTorch, TensorFlow, Scikit-learn, and related tools.</li><li>
Supervise the development of AI agents, chatbots, recommendation systems, classification models, predictive analytics, and intelligent automation solutions.</li><li>
Define AI architecture, integration patterns, APIs, microservices, and deployment strategies.</li><li>
Ensure AI solutions are scalable, secure, reliable, cost-efficient, and production-ready.</li><li>
Collaborate with business stakeholders, product teams, data teams, software engineers, and cloud teams.</li><li>
Manage task allocation, technical reviews, project milestones, risks, and delivery timelines.</li><li>
Establish best practices for MLOps, LLMOps, model governance, model monitoring, documentation, and quality assurance.</li><li>
Support presales and client discussions by providing technical input, solution proposals, effort estimation, and feasibility assessments.</li><li>
Ensure AI solutions comply with security, privacy, governance, and responsible AI principles.</li><li>
Mentor and coach AI engineers, ML engineers, data scientists, and junior team members.</li><li>
Stay up to date with the latest developments in AI, machine learning, deep learning, Generative AI, cloud AI services, and enterprise AI platforms.</li></ul>
Required Skills &amp; Qualifications<ul><li>
Minimum 5 years of professional experience in AI, machine learning, data science, or related technology fields.</li><li>
Minimum 2&ndash;3 years of experience leading AI teams or managing AI solution delivery.</li><li>
Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Computer Engineering, or a related field.</li><li>
Strong hands-on experience in machine learning, deep learning, NLP, Generative AI, and data science.</li><li>
Solid understanding of LLMs, RAG architectures, AI agents, vector databases, prompt engineering, and model evaluation.</li><li>
Strong experience with Python and AI/ML frameworks such as PyTorch, TensorFlow, Scikit-learn, Hugging Face, LangChain, or LlamaIndex.</li><li>
Experience in building and deploying ML/DL models for real-world enterprise use cases.</li><li>
Strong understanding of supervised learning, unsupervised learning, classification, regression, clustering, recommendation systems, forecasting, and anomaly detection.</li><li>
Experience with data preparation, data quality assessment, feature engineering, model training, validation, testing, and performance monitoring.</li><li>
Strong software engineering knowledge, including REST APIs, microservices, Docker, Kubernetes, CI/CD, and Git.</li><li>
Experience deploying AI workloads on cloud platforms such as OCI, Azure, AWS, or GCP. OCI experience is preferred.</li><li>
Knowledge of MLOps and LLMOps practices, including model versioning, monitoring, retraining, evaluation, and deployment automation.</li><li>
Strong project management skills, including planning, estimation, risk management, stakeholder communication, and delivery tracking.</li><li>
Ability to communicate complex technical concepts clearly to business and technical stakeholders.</li><li>
Excellent problem-solving, analytical, leadership, and decision-making skills.</li><li>
Excellent command of English, both written and spoken.</li><li>
Willingness to work onsite in Saudi Arabia.</li></ul>
Nice to Have<ul><li>
Experience in government, healthcare, finance, telecom, or regulated enterprise environments.</li><li>
Experience with GPU-based model training and inference optimization.</li><li>
Experience with computer vision, OCR, document AI, speech AI, or multimodal AI systems.</li><li>
Experience with Azure OpenAI, Oracle AI Services, AWS Bedrock, Google Vertex AI, or similar enterprise AI platforms.</li><li>
Knowledge of AI governance, responsible AI, data privacy, cybersecurity, and compliance frameworks.</li><li>
Experience in presales, technical proposal preparation, and client-facing solution presentations.</li><li>
Arabic language skills are an advantage.</li></ul> 

Benefits 
<ul><li>
Opportunity to lead strategic AI initiatives in Saudi Arabia.</li><li>
Work on advanced AI solutions across Generative AI, machine learning, deep learning, and data science.</li><li>
Leadership role with direct impact on enterprise and government AI transformation projects.</li><li>
Collaborative and innovation-driven work environment.</li><li>
Competitive compensation package.</li><li>
Access to modern AI infrastructure, cloud platforms, and enterprise data environments.</li><li>
Professional growth, leadership development, and continuous learning opportunities.</li></ul></div>

AI Team Lead

HR Hub

Role PurposeAs the Senior AI Delivery Lead, you will drive the execution of enterprise AI capabilities acrossthe group. You will champion a &quot;Configure-First&quot; approach&mdash;leveraging Copilot Studio for rapidM365-integrated solutions while reserving custom engineering for complex orchestration viaAzure AI Foundry. This role balances internal delivery, deep business collaboration, and thetechnical oversight of external AI providers to ensure a unified and secure AI ecosystem.The role operates within a federated group structure spanning 13 insurance entities across 9MENA countries. Influence and credibility matter more than hierarchy &mdash; the ability to engagesubsidiary teams, win trust across cultures, and drive adoption without direct authority is asimportant as technical capability.Key Responsibilities1. Business Collaboration &amp; Use Case Strategy<ul><li>Domain Partnership: Work directly with business, underwriting, claims, operations,</li></ul>finance, and risk teams to identify, document, and prioritize high-value AI use casesacross subsidiaries.<ul><li>Solution Translation: Translate complex business problems into functional AI solutions,</li></ul>moving from initial ideation to proof of concepts (PoCs) and MVPs.<ul><li>Ideation Leadership: Facilitate AI circles, hackathons, and prototype labs to foster a</li></ul>culture of AI-driven innovation across the group.2. Tiered AI Delivery &amp; Engineering<ul><li>Rapid Deployment: Prioritize the use of Copilot Studio and Power Platform for</li></ul>conversational AI and internal knowledge assistants to ensure speed-to-market.<ul><li>Custom Orchestration: Design and implement bespoke RAG pipelines and agentic</li></ul>workflows using the Microsoft Agent Framework and Azure AI Agent Service.<ul><li>Integration: Build AI-enabled workflows that connect with enterprise systems (CRM,</li></ul>ERP, Claims systems) via custom APIs and connectors.3. External Project Oversight<ul><li>Vendor Gatekeeping: Serve as the lead technical reviewer for AI projects developed by</li></ul>external providers to ensure they meet group standards for architecture and scalability.<ul><li>Compliance Alignment: Ensure third-party solutions adhere to the Group AI</li></ul>Governance Framework, data classification standards, and security protocols.4. Governance &amp; Monitoring<ul><li>Security &amp; Risk: Apply essential controls, including prompt injection protection and</li></ul>sensitive data detection, ensuring all AI activity is visible via Microsoft Sentinel.<ul><li>Performance Metrics: Maintain dashboards tracking token consumption, Azure costs,</li></ul>and the measurable business value delivered by each deployment.Required Experience &amp; Skills<ul><li>Experience: 5&ndash;8 years in AI/Software Engineering or Digital Transformation with a clear</li></ul>progression toward delivery leadership.<ul><li>Microsoft Ecosystem: Hands-on expertise in Copilot Studio, Azure AI Foundry, Azure</li></ul>OpenAI, and Azure AI Search.<ul><li>Agentic Frameworks: Experience with the Microsoft Agent Framework, Azure AI Agent</li></ul>Service, or equivalent orchestration frameworks such as LangChain, AutoGen, orSemantic Kernel.<ul><li>Technical Proficiency: Professional command of Python and at least one of C#,</li></ul>JavaScript, or TypeScript.<ul><li>Stakeholder Engagement: Exceptional communication skills, with the ability to engage</li></ul>equally with technical engineers and non-technical business leaders.<ul><li>Domain Knowledge: Experience in Insurance or Financial Services is a strong advantage.</li><li>Language: English and Arabic language proficiency is a meaningful advantage given our</li></ul>MENA footprint.Preferred Certifications<ul><li>Microsoft Azure AI Engineer Associate, Azure Solutions Architect Expert, Microsoft</li></ul>Power Platform certification<ul><li>Security certification: SC-900, AZ-500, or equivalent</li></ul>Success IndicatorsThe 90-Day Plan<ul><li>Governance Baseline: Establish the group's AI solution architecture and governance</li></ul>checklist.<ul><li>Active Delivery: Have at least one AI use case in active pilot and a documented roadmap</li></ul>of prioritized business use cases.<ul><li>Platform Readiness: Baseline the Azure AI platform with full logging, cost controls, and</li></ul>SIEM visibility.The 12 Months Plan<ul><li>Active Delivery: Scale 4&ndash;6 AI use cases into production across at least two business</li></ul>functions<ul><li>Governance Baseline: Quarterly value reporting to leadership about ai adoption and</li></ul>usage.Reporting LineThis role reports directly to the Group CTO, with close working relationships with:<ul><li>Group Data Analytics</li><li>Group CISO / Cybersecurity</li><li>Risk Management and Compliance</li><li>Data Protection / Legal</li><li>Business AI Champions across subsidiaries</li><li>Subsidiary IT teams</li><li>Microsoft and implementation partners where applicable</li></ul>Application Question(s):<ul><li>Expected Salary?</li></ul>Work Location: In person

Senior AI Delivery Lead

Datamatics Global Services Ltd

<div>Position Title : Delivery Manager &ndash; Data, BI &amp; AI 
Experience Required: 6&ndash;8 Years (Should be open to Travel) 
Employment Type :Full-Time - Riyadh - Onsite 
 
Job Overview 
We are looking for an experienced Delivery Manager to lead the successful execution and delivery of Data, Business Intelligence (BI), and AI-driven projects. The ideal candidate will have a strong background in managing cross-functional technical teams, driving client engagement, ensuring project governance, and delivering scalable analytics and AI solutions within timelines and budget. 
The role requires a combination of project delivery expertise, stakeholder management, technical understanding, and operational leadership. 
 
Key Responsibilities<ul><li>
Lead end-to-end delivery of Data Engineering, BI, Analytics, and AI/ML projects.</li><li>
Manage project planning, execution, resource allocation, risk management, and delivery governance.</li><li>
Collaborate with business stakeholders, technical teams, architects, and clients to define project scope and delivery roadmap.</li><li>
Ensure successful implementation of data platforms, dashboards, reporting systems, predictive analytics, and AI solutions.</li><li>
Drive Agile/Scrum ceremonies and ensure timely sprint execution and milestone tracking.</li><li>
Monitor project KPIs, delivery quality, utilization, and customer satisfaction.</li><li>
Manage multiple concurrent projects while maintaining delivery excellence.</li><li>
Coordinate with engineering, QA, DevOps, cloud, and analytics teams for seamless project execution.</li><li>
Identify delivery risks, dependencies, and mitigation strategies proactively.</li><li>
Support pre-sales activities including solution discussions, estimations, project planning, and proposal reviews.</li><li>
Establish best practices for delivery management, documentation, reporting, and communication.</li><li>
Mentor team leads and project teams to improve execution efficiency and performance.</li></ul>
Required Skills &amp; Expertise<ul><li>
Proven experience delivering Data, BI, Analytics, and AI/ML projects.</li><li>
Strong understanding of:<ul><li>
Data Warehousing &amp; ETL</li><li>
Business Intelligence platforms</li><li>
Cloud Data Platforms</li><li>
AI/ML solution lifecycle</li><li>
Reporting &amp; Analytics frameworks</li></ul></li><li>
Experience working with tools/technologies such as:<ul><li>
Power BI, Tableau, Looker, or Qlik</li><li>
SQL &amp; Data Modeling</li><li>
Azure, AWS, or GCP</li><li>
Data Lakes / Data Warehouses</li><li>
AI/ML project coordination</li></ul></li><li>
Strong knowledge of Agile, Scrum, and project management methodologies.</li><li>
Excellent stakeholder management and client communication skills.</li><li>
Experience managing distributed or cross-functional technical teams.</li><li>
Ability to handle delivery escalations, priorities, and deadlines effectively.</li></ul>
Preferred Qualifications<ul><li>
Bachelor&rsquo;s degree in Computer Science, Software Engineering, Data Science, or related field.</li><li>
PMP, Scrum Master, or Agile certifications are a plus.</li><li>
Exposure to enterprise-scale analytics or AI transformation projects is highly preferred.</li></ul>
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Delivery Manager (Data, BI & AI Projects)

exceptional interior decoration

Position: AI &amp; Digital Transformation ManagerPosition OverviewThe AI &amp; Digital Transformation Manager will be responsible for identifying, implementing, managing, and training staff on Artificial Intelligence tools and digital solutions that improve efficiency, quality, productivity, and operational excellence across all departments of the company.The role focuses on integrating AI technologies into daily business operations, project management processes, proposal development, design coordination, reporting systems, procurement workflows, and client communications.The successful candidate will act as the company&rsquo;s internal AI expert and innovation leader, ensuring that technology delivers measurable business value.Key ResponsibilitiesAI Strategy &amp; Implementation:<ul><li>Identify and evaluate emerging AI platforms and technologies.</li><li>Develop and implement the company&rsquo;s AI adoption roadmap.</li><li>Continuously research new AI tools relevant to construction, project management, hospitality, design, and consultancy sectors.</li><li>Ensure all implemented solutions align with company objectives and workflows.</li></ul>Business Process AutomationImplement AI-driven solutions for:<ul><li>Email drafting and communication.</li><li>Meeting minutes generation.</li><li>Action tracker creation.</li><li>Automated reminders and follow-ups.</li><li>Proposal generation.</li><li>Scope of work preparation.</li><li>Project reporting.</li><li>Risk register management.</li><li>Procurement tracking.</li><li>Submittal logs.</li><li>RFI management.</li><li>Document control.</li><li>Knowledge management systems.</li></ul>Construction &amp; Project Management ApplicationsImplement AI solutions that support:<ul><li>Bill of Quantities (BOQ) generation.</li><li>Quantity take-offs.</li><li>Cost estimation.</li><li>Value engineering exercises.</li><li>Procurement planning.</li><li>Construction reporting.</li><li>Project scheduling assistance.</li><li>Risk analysis.</li><li>Contract review.</li><li>Tender evaluations.</li></ul>Design &amp; Creative ApplicationsImplement AI solutions for:<ul><li>Mood board creation.</li><li>Concept development.</li><li>Material selection support.</li><li>Design presentations.</li><li>Rendering assistance.</li><li>Image generation.</li><li>Visual storytelling.</li><li>Marketing content creation.</li></ul>Staff Training &amp; Change Management:<ul><li>Train all employees on approved AI tools.</li><li>Develop internal AI training manuals and SOPs.</li><li>Conduct workshops and awareness sessions.</li><li>Measure adoption rates and productivity improvements.</li><li>Provide ongoing technical support.</li></ul>Knowledge ManagementDevelop and maintain:<ul><li>Company AI knowledge base.</li><li>Prompt libraries.</li><li>Proposal templates.</li><li>Report templates.</li><li>Project execution templates.</li><li>Lessons learned databases.</li><li>AI-assisted SOP repositories.</li></ul>Performance Monitoring:<ul><li>Track ROI of AI initiatives.</li><li>Measure productivity gains.</li><li>Identify areas for further automation.</li><li>Produce monthly AI performance reports.</li></ul>Key AI Platforms (Expected Experience)Productivity:<ul><li>ChatGPT</li><li>Microsoft Copilot</li><li>Gemini</li><li>Claude</li><li>Notion AI</li></ul>Automation:<ul><li>Zapier</li><li>Make.com</li><li>n8n</li><li>Power Automate</li><li>Design:</li><li>Midjourney</li><li>DALL-E</li><li>Adobe Firefly</li><li>Canva AI</li></ul>Construction &amp; Project Management:<ul><li>Autodesk Construction Cloud</li><li>Procore</li><li>Bluebeam</li><li>PlanSwift</li><li>Togal.AI</li><li>OpenSpace</li></ul>Data &amp; Reporting:<ul><li>Power BI</li><li>Looker Studio</li><li>Airtable</li><li>Excel AI</li><li>KPIs</li></ul>The employee will be evaluated based on:<ul><li>Number of AI solutions successfully implemented.</li><li>Reduction in administrative workload.</li><li>Improvement in proposal preparation time.</li><li>Reduction in report preparation time.</li><li>Staff adoption rate.</li><li>Productivity improvements achieved.</li><li>Cost savings generated.</li><li>Quality improvements across deliverables.</li></ul>Ideal Candidate Profile:<ul><li>Bachelor&rsquo;s Degree in Engineering, Information Technology, Computer Science, Business Technology, or related field.</li><li>Minimum 5 years of experience in AI implementation, digital transformation, automation, or business process optimization.</li><li>Experience within construction, consultancy, hospitality, architecture, or project management sectors is highly preferred.</li><li>Strong understanding of Large Language Models (LLMs), workflow automation, prompt engineering, and AI integration.</li><li>Excellent training and communication skills.</li></ul>What This Role Will Build for Exceptional?Within the first 12 months, this person should aim to create:<ul><li>An AI-powered proposal generation system.</li><li>AI-generated weekly project reports.</li><li>AI-assisted BOQ and cost-estimation workflows.</li><li>AI meeting assistant for minutes and action tracking.</li><li>AI-powered procurement tracking dashboard.</li><li>AI knowledge base containing all company SOPs, templates, and best practices.</li><li>AI training program for all staff.</li></ul>www.exceptional-pm.comWork Location: In person

AI & Digital Transformation Manager

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