ai solutions project manager

Jetnetix Solutions

Jetnetix Solutions is looking for a proactive Account Manager who can build strong client relationships, understand software requirements, and drive account growth through upselling and strategic client management.This role is ideal for someone who understands software products, SaaS platforms, and AI-powered solutions and enjoys working with international clients while contributing to revenue growth.Job DescriptionWe are looking for a client-focused Account Manager to manage software client accounts, ensure smooth communication between clients and internal teams, and identify opportunities for business growth.You will act as the primary point of contact for clients, ensuring clear communication while expanding accounts through upselling services such as custom software, SaaS platforms, AI-powered solutions, and web or mobile applications.Key Responsibilities<ul><li>Manage relationships with assigned client accounts and act as their primary contact</li><li>Conduct client meetings, requirement discussions, and follow-ups</li><li>Understand client business needs and translate them into clear requirements for the technical team</li><li>Convert prospects into clients by understanding their business needs and pitching the most appropriate software or AI solutions</li><li>Identify opportunities to upsell additional services such as AI software, AI-powered applications, SaaS solutions, and custom web or mobile apps</li><li>Prepare proposals, quotations, and commercial offers</li><li>Coordinate with internal teams to ensure clear communication and smooth project execution</li><li>Track project progress and provide updates to clients when required</li><li>Maintain proper documentation of client communication, agreements, and project discussions</li><li>Support deal closures and contract renewals with new and existing clients</li></ul>Requirements<ul><li>2 to 5 years of experience in software sales, account management, or client success</li><li>Strong understanding of software development lifecycle, SaaS products, and AI-driven solutions</li><li>Excellent English communication and negotiation skills</li><li>Ability to manage multiple client accounts and build long-term relationships</li><li>Bachelor&rsquo;s degree or proven qualification in Business, IT, Marketing, Computer Science, or related field</li></ul>Preferred<ul><li>Experience selling custom software, SaaS platforms, AI-powered software, or digital solutions</li><li>Experience working with international clients</li><li>Understanding of Agile or modern software development environments</li></ul>What We Offer<ul><li>Competitive salary with performance-based commissions and incentives</li><li>Exposure to international software and AI projects</li><li>Growth opportunities within a fast-growing software and AI solutions company</li><li>Supportive and collaborative team environment</li></ul>Job Type: Full-timeWork Location: In person

Account Manager – Software Sales & Client Success

Flex Employee Services

Role 1: AI &amp; Data Project Manager (AI Comms and Assist)Job Summary:The AI &amp; Data Project Manager (Contractor) is responsible for leading and coordinating enterprise AI, data, and advanced analytics initiatives across the health system. This role manages the delivery of strategic data and artificial intelligence projects including analytics platforms, machine learning implementations, data governance initiatives, and enterprise dataproducts.The position partners closely with clinical, operational, financial, and technology leaders to ensure AI and data initiatives are delivered on schedule, within scope, and aligned with organizational strategy and governance standards.The AI &amp; Data Project Manager oversees the full project lifecycle from planning through implementation, ensuring strong stakeholder engagement, risk mitigation, and adoption of enterprise data capabilities.Duties and Responsibilities:<ul><li>Leads planning and execution of AI, data, and analytics initiatives including data platforms, AI model deployment, and enterprise analytics solutions.</li><li>Coordinates the full lifecycle of AI and data projects from initiation through closure using the Project Management Framework.</li><li>Defines project scope, deliverables, success criteria, timelines, and budgets.</li><li>Manages cross‑functional teams including data engineers, data scientists, analysts, and operational leaders.</li><li>Tracks project milestones and ensures delivery of AI and analytics capabilities on schedule.</li><li>Identifies risks and develops mitigation strategies related to data quality, integration, governance, and adoption.</li><li>Coordinates integration across enterprise systems including Epic, Oracle, Strata, Power BI, and other platforms.</li><li>Supports enterprise data governance initiatives including stewardship and data quality programs.</li><li>Oversees delivery of AI and analytics product releases including dashboards and predictive models.</li><li>Collaborates with stakeholders to gather requirements supporting clinical, operational, financial, and strategic analytics initiatives.</li><li>Maintains project documentation including charters, roadmaps, plans, and post‑implementation reviews.</li><li>Tracks portfolio metrics for AI and data initiatives.</li><li>Supports organizational change management to drive adoption of AI and analytics capabilities.</li><li>Performs other duties as assigned.</li></ul>Education:Minimum Education Level: Bachelor&rsquo;s DegreeArea of Study: Information Systems, Data Science, Healthcare Administration, Business Administration, Computer Science, or related field.Alternate Qualifications: Bachelor&rsquo;s degree; or Associate degree and 2 years relevant professional experience in addition to the minimum experience requirement; or HS Diploma/GED and 4 years relevant professional experience in addition to the minimum experience requirement.Years of ExperienceMinimum Years of Experience: 8 years of relevant professional experiencePreferred Experience:<ul><li>Managing complex IT, data, analytics, or AI initiatives</li><li>Healthcare data and analytics environments</li><li>Enterprise analytics platforms such as Power BI or Tableau</li><li>Cross-functional enterprise project leadership</li></ul>Certification Preferred Certifications:<ul><li>PMP (Project Management Professional)</li><li>Agile or Scrum Certification</li><li>Certified Analytics Professional (CAP)</li><li>AI or Data Management related certifications</li></ul>LicensureNone required.Knowledge, Skills, and Abilities:<ul><li>Strong project management skills managing complex technology and data initiative</li><li>Understanding of enterprise data architecture, analytics platforms, and AI solutions</li><li>Ability to coordinate cross-functional teams across technical and clinical domains</li><li>Knowledge of data governance and data quality practices</li><li>Strong stakeholder management and communication skills</li><li>Ability to translate business needs into actionable project plans</li><li>Strong analytical and problem-solving capabilities</li><li>Familiarity with healthcare performance analytics preferred</li></ul>Physical Demands:<ul><li>Sitting: Frequent (34&ndash;66% of day)</li><li>Standing: Occasional (0&ndash;33% of day)</li><li>Walking: Occasional (0&ndash;33% of day)</li><li>Keyboard/Repetitive motion: Frequent (34&ndash;66% of day)</li><li>Lifting: Under 10 lbs. occasionally</li></ul>Occupational Exposure Risk:<ul><li>Blood Borne Pathogens: Not Anticipated</li><li>Chemical Exposure: Not Anticipated</li><li>Airborne Communicable Diseases: Not Anticipated</li><li>Radiation: Not Anticipated</li><li>Extreme Noise Levels: Not Anticipated</li></ul>Role 2: AI &amp; Data Project Manager (Data Governance) Job Summary:The AI &amp; Data Project Manager (Contractor) is responsible for leading and coordinating enterprise AI, data, and advanced analytics initiatives across the health system. This role manages the delivery of strategic data and artificial intelligence projects including analytics platforms, machine learning implementations, data governance initiatives, and enterprise data products. The position partners closely with clinical, operational, financial, and technology leaders to ensure AI and data initiatives are delivered on schedule, within scope, and aligned with organizational strategy and governance standards. The AI &amp; Data Project Manager oversees the full project lifecycle from planning through implementation, ensuring strong stakeholder engagement, risk mitigation, and adoption of enterprise data capabilities.Duties and Responsibilities:<ul><li>Leads planning and execution of AI, data, and analytics initiatives including data platforms, AI model deployment, and enterprise analytics solutions.</li><li>Coordinates the full lifecycle of AI and data projects from initiation through closure using the Project Management Framework.</li><li>Defines project scope, deliverables, success criteria, timelines, and budgets.</li><li>Manages cross-functional teams including data engineers, data scientists, analysts, and operational leaders.</li><li>Tracks project milestones and ensures delivery of AI and analytics capabilities on schedule.</li><li>Identifies risks and develops mitigation strategies related to data quality, integration, governance, and adoption.</li><li>Coordinates integration across enterprise systems including Epic, Oracle, Strata, Power BI, and other platforms.</li><li>Supports enterprise data governance initiatives including stewardship and data quality programs.</li><li>Oversees delivery of AI and analytics product releases including dashboards and predictive models.</li><li>Collaborates with stakeholders to gather requirements supporting clinical, operational, financial, and strategic analytics initiatives.</li><li>Maintains project documentation including charters, roadmaps, plans, and post-implementation reviews.</li><li>Tracks portfolio metrics for AI and data initiatives. Supports organizational change management to drive adoption of AI and analytics capabilities.</li><li>Performs other duties as assigned.</li></ul>Education:Minimum Education Level: Bachelor&rsquo;s DegreeArea of Study: Information Systems, Data Science, Healthcare Administration, Business Administration, Computer Science, or related field.Alternate Qualifications: Bachelor&rsquo;s degree; or Associate degree and 2 years relevant professional experience in addition to the minimum experience requirement; or HS Diploma/GED and 4 years relevant professional experience in addition to the minimum experience requirement.Years of ExperienceMinimum Years of Experience: 8 years of relevant professional experiencePreferred Experience:<ul><li>Managing complex IT, data, analytics, or AI initiatives</li><li>Healthcare data and analytics environments</li><li>Enterprise analytics platforms such as Power BI or Tableau</li><li>Cross-functional enterprise project leadership</li></ul>Certification Preferred Certifications:<ul><li>PMP (Project Management Professional)</li><li>Agile or Scrum Certification</li><li>Certified Analytics Professional (CAP)</li><li>AI or Data Management related certifications</li></ul>LicensureNone required.Knowledge, Skills, and Abilities:<ul><li>Strong project management skills managing complex technology and data initiative</li><li>Understanding of enterprise data architecture, analytics platforms, and AI solutions</li><li>Ability to coordinate cross-functional teams across technical and clinical domains</li><li>Knowledge of data governance and data quality practices</li><li>Strong stakeholder management and communication skills</li><li>Ability to translate business needs into actionable project plans</li><li>Strong analytical and problem-solving capabilities</li><li>Familiarity with healthcare performance analytics preferred</li></ul>Physical Demands:<ul><li>Sitting: Frequent (34&ndash;66% of day)</li><li>Standing: Occasional (0&ndash;33% of day)</li><li>Walking: Occasional (0&ndash;33% of day)</li><li>Keyboard/Repetitive motion: Frequent (34&ndash;66% of day)</li><li>Lifting: Under 10 lbs occasionally</li></ul>Occupational Exposure Risk:<ul><li>Blood Borne Pathogens: Not Anticipated</li><li>Chemical Exposure: Not Anticipated</li><li>Airborne Communicable Diseases: Not Anticipated</li><li>Radiation: Not Anticipated</li><li>Extreme Noise Levels: Not Anticipated</li></ul>Disclaimer: This job description provides the major duties/responsibilities, requirements, and working conditions for the position. It is intended to be an accurate reflection of the current role. Management reserves the right to revise or change the job description as necessary to meet organizational needs. Contractors may be required to perform other job-related duties when circumstances require such as emergencies, workload changes, technology changes, or organizational priorities.Pay: $60.00 - $75.00 per hourBenefits:<ul><li>Dental insurance</li><li>Health insurance</li><li>Referral program</li><li>Vision insurance</li></ul>Application Question(s):<ul><li>Are you comfortable working on W2?</li><li>Are you legally authorized to work in the United States: US Citizen/Green Card Holder?</li><li>How many years of work experience do you have with AI Project Management?</li><li>How many years of work experience do you have with AI tools?</li><li>How many years of work experience do you have with EHR tools?</li><li>How many years of work experience do you have with Agile Project Management?</li><li>How many years of work experience do you have with Data Governance?</li><li>How many years of Hospitals and Health Care experience do you currently have?</li><li>How many years of work experience do you have with data analytics?</li></ul>Work Location: Remote

AI & Data Project Manager

QNBeyond Plus

<div>
 
 
 About the Role
 
 
 
 We are looking for an experienced
 
 Project Manager &ndash; Data, Analytics &amp; AI
 
 to lead and coordinate projects across our data and analytics initiatives.
 
 
 In this role, you will work closely with
 
 data engineers, data analysts, and AI/ML teams
 
 to ensure the successful delivery of data-driven solutions that support business decision-making and innovation across our digital banking platform.
 
 
 The ideal candidate has strong experience managing
 
 data and analytics projects
 
 , coordinating cross-functional technical teams, and delivering complex technology initiatives.
 
 
 Key Responsibilities
 
 
 Project Management
 
 <ul>
 <li>
 Lead end-to-end delivery of
 
 data, analytics, and AI-related projects
 
 .
 </li>
 <li>
 Define project scope, timelines, milestones, and deliverables.
 </li>
 <li>
 Ensure projects are delivered
 
 on time, within scope, and within budget
 
 .
 </li>
 </ul>
 
 Collaboration
 
 <ul>
 <li>
 Work closely with
 
 data engineers, data scientists, analysts, and product teams
 
 .
 </li>
 <li>
 Facilitate communication between technical teams and business stakeholders.
 </li>
 </ul>
 
 Data &amp; Analytics Initiatives
 
 <ul>
 <li>
 Manage initiatives related to
 
 data platforms, analytics solutions, and AI models
 
 .
 </li>
 <li>
 Coordinate implementation of data pipelines, reporting tools, and analytics platforms.
 </li>
 </ul>
 
 Monitoring &amp; Reporting
 
 <ul>
 <li>
 Track project progress and ensure alignment with business objectives.
 </li>
 <li>
 Identify risks, dependencies, and potential bottlenecks.
 </li>
 </ul>
 
 Process Optimization
 
 <ul>
 <li>
 Improve project delivery processes and data team collaboration.
 </li>
 <li>
 Ensure alignment with
 
 Agile or hybrid delivery frameworks
 
 .
 </li>
 </ul>
 
 
 Required Qualifications
 
 
 
 
 Experience
 
 
 <ul>
 <li>
 Minimum
 
 3+ years of experience in project management
 
 </li>
 <li>
 Proven experience managing
 
 data, analytics, or technology projects
 
 </li>
 <li>
 Project management certifications such as
 
 PMP, PRINCE2, or Agile certifications
 
 </li>
 </ul>
 
 
 Technical Understanding
 
 
 <ul>
 <li>
 Strong understanding of
 
 data platforms, analytics tools, or AI/ML workflows
 
 </li>
 <li>
 Experience working with
 
 data engineering or analytics teams
 
 </li>
 </ul>
 
 Methodologies
 
 <ul>
 <li>
 Experience with
 
 Agile, Scrum, or hybrid project management frameworks
 
 </li>
 </ul>
 
 Professional Skills
 
 <ul>
 <li>
 Strong stakeholder management skills
 </li>
 <li>
 Excellent communication and leadership abilities
 </li>
 <li>
 Strong analytical and problem-solving skills
 </li>
 </ul>
 
 Preferred Qualifications
 
 <ul>
 <li>
 Experience in
 
 data analytics, AI, or machine learning projects
 
 </li>
 <li>
 Experience working in
 
 financial services, fintech, or digital banking
 
 </li>
 <li>
 Familiarity with
 
 data platforms, data warehouses, or BI tools
 
 </li>
 </ul>
 
 
</div>

Project Manager – Data, Analytics & AI

The Home Depot

<div>Position Purpose:
Serves as a member of the Marketing Acceleration: Intelligence &amp; Automation team, functioning as a techno-functional consultant within our AI Center of Excellence. This role is integral to empowering marketing by driving AI adoption, refining AI use-cases, and leading the development of automations and agentic solutions. You will play a key part in identifying, prioritizing, and governing AI and automation initiatives to drive operational efficiencies and deliver measurable value. 
Key Responsibilities:<ul><li>
10% Knowledge of Marketing Operations - Remains knowledgeable on Marketing Technology systems and capabilities, and trends in Marketing Operations</li><li>
20% On-Going Support for Systems - Provide on-going support for systems that enable marketing project execution by developing and delivering training, new associate on-boarding, and governance of implementations to ensure configurations and data stay &quot;clean&quot;</li><li>
20% Optimizes Processes - Use data and insights to optimize processes and support through areas such as automation, incremental enhancements to system configurations, process improvement and modifications to training programs to drive operational efficiencies</li><li>
10% Partner with Third-Parties - Partner with third party software providers to understand and influence their capabilities roadmap</li><li>
20% Partnership - Partner with Marketing Technology product management, Brand Marketing account services, creative, program management office (PMO), and other cross functional partners to understand processes and system requirements to enable marketing project execution and technology services</li><li>
20% Requirement Gathering - Based on PMO center-of-excellence processes and ways of working and requirements gathered, configure technology, on-board users, and thoughtfully roll-out solutions that enable marketing project execution and processes</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This position typically reports to Manager/Sr Manager Marketing Operations</li><li>
This position has 0 Direct Reports</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel less than 10% of the time.</li></ul> 
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
Previous experience in marketing operations, marketing technology, or a related techno-functional role.</li><li>
Strong problem-solving skills with the ability to manage ambiguity and lead projects with minimal direction.</li><li>
Excellent verbal and written communication skills, with experience preparing clear business requirements, process flows, and leadership-ready documentation.</li><li>
Proficiency with data analysis and visualization tools, specifically SQL and Tableau, to derive insights and measure impact.</li><li>
Proven experience in building and implementing scalable automation and technology solutions.</li><li>
Knowledge of AI governance principles, including responsible AI usage, compliance, and enterprise data standards.</li><li>
Experience in strategic blueprinting, including workflow design, AI solution mapping, and defining success metrics (KPIs/ROI).</li><li>
Demonstrated expertise in relationship management, with a track record of successfully partnering with IT, cybersecurity, external vendors, and business stakeholders.</li><li>
Familiarity with agile methodologies and marketing technology systems is a plus.</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
4</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Action Oriented</li><li>
Collaborates</li><li>
Drives Engagement</li><li>
Communicates Effectively</li><li>
Customer Focus</li><li>
Drives Results</li><li>
Manages Conflict</li></ul></div>

Senior Analyst, Marketing Technology

Arab Solutions

<div>
 
 Job Title:
 
 Cognitive AI Project Manager
 
 
 
 Job Description
 
 
 
 The Cognitive AI Project Manager is responsible for planning, coordinating, and delivering the Cognitive AI program of work within TASMU 2.0, ensuring multi-vendor teams deliver agreed scope, milestones, and acceptance outcomes on time and within governance. The role manages dependencies across platform foundations (multicloud, security, data, integration, observability), vendor build streams (inference, RAG/KB, fine-tuning, MCP, analytics), and operational readiness activities (SLOs, runbooks, ITSM/SIEM integration). The Project Manager drives program cadence, RAID management, stakeholder communications, and contractual deliverables, ensuring solutions are production-ready, compliant, and ready for adoption by TASMU customers.
 
 
 
 Duties And Responsibilities
 
 
 
 <ul>
 <li>
 Own end-to-end delivery plan: milestones, workstreams, resource plan, budget tracking, and integrated master schedule.
 </li>
 <li>
 Manage multi-vendor delivery execution: workstream coordination, dependency mapping, and delivery governance (weekly cadence, steering inputs).
 </li>
 <li>
 Maintain RAID (risks, assumptions, issues, dependencies) register and drive mitigation/closure with accountable owners.
 </li>
 <li>
 Ensure delivery aligns to TASMU architecture/security/data governance gates (design reviews, approvals, exception handling).
 </li>
 <li>
 Coordinate acceptance management: definition of completion criteria, evidence collection, test plans, and sign-off processes (KPIs/SLOs).
 </li>
 <li>
 Drive operational readiness: ITSM integration, monitoring/observability onboarding, SIEM logging, DR planning, and L1/L2/L3 handover.
 </li>
 <li>
 Manage change control: scope baseline, CR process, impact analysis, and stakeholder approvals.
 </li>
 <li>
 Run stakeholder communication: status reporting, executive summaries, action tracking, and escalation management.
 </li>
 <li>
 Coordinate vendor deliverables for documentation and enablement (IaC repos, runbooks, training materials, release notes).
 </li>
 <li>
 Support procurement/commercial governance: align delivery artefacts to contract schedules, SLAs, and service support obligations.
 
 
 </li>
 </ul>
 
 Skills &amp; Abilities
 
 
 
 <ul>
 <li>
 Strong project management capability in complex, multi-vendor technology programs with governance and contractual delivery. Ability to manage technical dependencies across cloud, AI, data, security, and operations workstreams.
 </li>
 <li>
 Skilled in planning, scheduling, and delivery control (critical path, earned progress, milestone tracking).
 </li>
 <li>
 Strong RAID, change management, and stakeholder communication skills, including executive-level reporting.
 </li>
 <li>
 Understanding of cloud-native delivery practices (agile + DevSecOps, IaC/GitOps, environments, release management).
 </li>
 <li>
 Ability to drive outcomes through influence and structured governance, not just task tracking.
 
 
 </li>
 </ul>
 
 Potential Background
 
 
 
 <ul>
 <li>
 7+ years in project/program management delivering enterprise platforms or cloud/data/AI initiatives.
 </li>
 <li>
 Demonstrated experience coordinating multiple SIs/vendors and managing acceptance criteria and contractual deliverables.
 </li>
 <li>
 Experience working in regulated environments (government, telco, critical infrastructure) with security/compliance gates.
 </li>
 <li>
 Familiarity with cloud landing zones, Kubernetes platforms, observability, and ITSM/SIEM integration is preferred.
 </li>
 <li>
 Experience with hybrid delivery methods (waterfall governance + agile execution) and release-to-production processes.
 </li>
 <li>
 Certifications preferred: PMP/PRINCE2, Agile/Scrum, ITIL awareness (optional).
 
 
 </li>
 </ul>
 Skills: scrum,budget tracking,devsecops,stakeholder,slas,itil awareness,iac/gitops,itsm/siem,cloud,cr process,data,ai initiatives,prince2,pmp,agile,raid
</div>

Cognitive AI Project Manager

Kodifly

<div>
 
 
 Job Description - Technical Project Manager
 
 
 
 
 
 
 
 About Kodifly:
 
 
 
 Kodifly is an AI-first spatial intelligence company transforming infrastructure monitoring and management. Headquartered in Hong Kong Science Park, with an expanded presence in Pakistan and ongoing expansion into the Kingdom of Saudi Arabia, we are backed by HKAI Lab and the NVIDIA Inception program.
 
 
 Our expertise spans 3D point cloud processing, digital twin creation, and LiDAR technology. By integrating AI-powered analytics, digital twins, and real-time spatial intelligence, we help cities and enterprises improve efficiency, quality assurance, and safety across the infrastructure lifecycle.
 
 
 
 
 
 
 Role Overview:
 
 
 
 We&rsquo;re looking for a Technical Project Manager (TPM) with a strong software development background to lead agile teams and drive technical delivery. You&rsquo;ll work closely with developers and stakeholders to manage sprint execution, validate system architecture &amp; design, and deliver impactful solutions on time.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 ● Collaborate with development teams to
 
 analyze technical requirements
 
 , identify challenges, and create solutions.
 
 
 ●
 
 Design and review system architectures
 
 , ensuring robust integration between
 
 edge devices, cloud services
 
 , and
 
 AI/ML pipelines
 
 
 
 ● Plan, track, and deliver project
 
 scope, timeline, and milestones
 
 .
 
 
 ● Facilitate
 
 Scrum ceremonies
 
 (sprint planning, stand-ups, reviews, retrospectives).
 
 
 ● Maintain
 
 technical documentation, user stories, and release notes
 
 .
 
 
 ● Prepare
 
 BRDs, BBP, SRS, As-Is, To-Be, UAM
 
 etc. documents whilst overseeing execution of
 
 MDM, UAT, SIT, SAT
 
 etc
 
 
 ● Collaborate with engineers and DevOps teams on
 
 deployment strategies, CI/CD pipelines
 
 , and
 
 system reliability
 
 
 
 ● Lead and manage agile software projects using the
 
 Scrum framework
 
 ..
 
 
 ● Use
 
 Agile metrics
 
 to monitor progress and communicate
 
 updates to stakeholders
 
 .
 
 
 ● Mentor and coach team members on
 
 Agile methodologies, software architecture principles,
 
 and
 
 engineering best practices
 
 
 
 
 
 
 
 Requirements:
 
 
 
 ●
 
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Software Engineering, or related field. PMP certification
 
 or
 
 MBA in Project Management
 
 is an added advantage.
 
 
 ● Strong understanding of
 
 system design and distributed architectures
 
 , especially
 
 edge + cloud integration
 
 for
 
 AI/ML workflows
 
 
 
 ● A strong leadership mindset - a forward-thinking approach focused on empowering the team, proactively solving problems, and fostering a positive environment to achieve project goals.
 
 
 ● 2+ years of experience in Software development (backend, frontend or fullstack) .
 
 
 ● 2+ years of experience in Technical Project Management
 
 
 ● Hands-on experience with programming in
 
 Python, JavaScript (Node.js/React), or C++
 
 .
 
 
 ●
 
 Certified Scrum Master (CSM)
 
 or equivalent certification preferred.
 
 
 ● Familiarity with
 
 DevOps practices, containerization (Docker/Kubernetes), CI/CD pipelines
 
 , and
 
 version control (Git)
 
 
 
 ● Strong understanding of
 
 Agile principles
 
 and the
 
 software development lifecycle
 
 .
 
 
 ● Excellent
 
 communication, analytical, and problem-solving
 
 skills.
 
 
 ● Ability to thrive in a
 
 fast-paced, dynamic environment
 
 and manage multiple priorities.
 
 
 
 
 
 
 We Offer:
 
 
 
 ● Opportunity to work with
 
 state-of-the-art AI, LiDAR, and 3D spatial technologies
 
 
 
 ● Exposure to
 
 cutting-edge system architecture and cloud-edge deployment projects
 
 
 
 ● A collaborative environment where innovation is encouraged and rewarded.
 
 
 ● Competitive salary and share options with accelerated increments for high-performing employees.
 
 
 ● Professional and personal growth opportunities and a chance to make a significant impact in infrastructure safety and efficiency.
 
</div>

Senior Project Manager

Juhayna Food Industries

<div>
 
 
 Job Overview
 
 
 
 
 
 
 The Data Analytics &amp; AI Manager is responsible for transforming data into advanced insights, predictive intelligence, and AI-driven solutions that support strategic and operational decision making across the organization.
 
 
 
 
 
 
 Strategic Management
 
 
 
 
 
 <ul>
 <li>
 Lead Advanced analytics initiatives that support business performance and strategic goals.
 </li>
 <li>
 Identify opportunities where predictive analytics and AI can improve efficiency, revenue, or cost control.
 </li>
 <li>
 Gather and translate business requirements into analytical and AI- Driven solutions.
 </li>
 <li>
 Analyze internal and external factors that impact business performance.
 </li>
 </ul>
 
 
 
 
 
 Analytics &amp; AI Enablement
 
 
 
 
 
 <ul>
 <li>
 Develop and enhance advanced analytics solutions, including forecasting and predictive models.
 </li>
 <li>
 partner with data science teams to deploy AI/ ML use cases that solve real business challenges.
 </li>
 <li>
 support automation of insights and reporting using intelligent analytics tools
 </li>
 <li>
 Ensure AI and analytics outputs are understandable, reliable, and aligned with business.
 </li>
 </ul>
 
 
 
 
 
 Reporting &amp; Insights
 
 
 
 
 
 <ul>
 <li>
 Oversee Development of dashboards and visualization that support business monitoring.
 </li>
 <li>
 Ensure KPIs and performance indicators are clearly defined and consistently tracked.
 </li>
 <li>
 Deliver monthly performance analysis reports with insights and improvement recommendations.
 </li>
 </ul>
 
 
 
 
 
 Stakeholder Collaboration
 
 
 
 
 
 <ul>
 <li>
 Act as a bridge between business teams, BI, and data science functions.
 </li>
 <li>
 Present insights and AI- Driven findings in a clear and business friendly manner.
 </li>
 <li>
 support leadership with scenario analysis and data backed recommendations.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 
 
 
 <ul>
 <li>
 University degree in computer science, data analytics, information systems, business intelligence, or a related field.
 </li>
 <li>
 8-10 years of experience in analytics, business intelligence, or data roles.
 </li>
 <li>
 Experience working with analytics, predictive modeling, or AI initiatives.
 </li>
 <li>
 Excellent communication and presentation skills.
 </li>
 </ul>
 
 
 
 
 
 Technical skills
 
 
 
 
 
 <ul>
 <li>
 Experience with business intelligence tools such as Power BI, SAC.
 </li>
 <li>
 Good knowledge of SQL and data analysis tools.
 </li>
 <li>
 Exposure to analytics and AI tools.
 </li>
 <li>
 Experience working with data models and structured dataset's
 </li>
 </ul>
 
 
 
 
 
 Preferred Experience
 
 
 
 
 
 <ul>
 <li>
 Experience in FMCG, Food &amp; Beverages industry is a plus.
 </li>
 <li>
 Experience supporting forecasting, supply chain, or sales analytics initiatives.
 </li>
 <li>
 Experience working in Agile or project-based data environments.
 </li>
 </ul>
</div>

Manager - Data & Analytics

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