ai project manager

MASTER-WORKS

<div>Role Purpose
Plan, lead, and control AI projects across the full Project Management Lifecycle while ensuring alignment with organizational PMO governance, contractual commitments, and CPMAI&trade; analytics lifecycle phases to achieve measurable business outcomes.
Key ResponsibilitiesInitiation &amp; Alignment<ul><li>
Develop and maintain the Project Charter, ensuring alignment with business objectives, success criteria, and value realization goals.
</li><li>Identify and engage key stakeholders; define stakeholder expectations and communication needs.
</li></ul>Planning<ul><li>
Establish and baseline the Integrated Project Management Plan, including scope, schedule, cost, quality, resource, risk, communication, and procurement components.
</li><li>Define Work Breakdown Structure (WBS), milestones, delivery dependencies, and acceptance criteria.
</li><li>Plan resource allocation in coordination with technical leads and functional managers.
</li><li>Ensure alignment between delivery plans, payment milestones, and contractual terms.
</li></ul>Execution<ul><li>
Direct and manage project work in accordance with the approved project plan and governance framework.
</li><li>Coordinate cross-functional teams (AI, data, platform, infrastructure) to support CPMAI&trade; phases such as business understanding, data understanding, modeling, deployment, and monitoring.
</li><li>Serve as the primary point of integration between PMO, technical teams, vendors, and clients.
</li></ul>Monitoring &amp; Controlling<ul><li>
Monitor project performance against baselined scope, schedule, and cost using defined KPIs.
</li><li>Identify, assess, and manage risks, issues, assumptions, and dependencies (RAID) proactively.
</li><li>Control scope through formal Change Control processes and assess impact on time, cost, and value.
</li><li>Produce accurate and timely project status reports and forecasts for stakeholders.
</li></ul>Closure &amp; Value Realization<ul><li>
Ensure formal project closure, including deliverable acceptance, documentation handover, and lessons learned.
</li><li>Support value realization tracking and post-delivery performance monitoring where applicable.
</li>Ensure all contractual and governance artifacts (e.g., CoCs, invoices, approvals) are completed and archived. 
<li>
</li></ul> 
 
Requirements 
Qualifications &amp; Requirements<ul><li>
Bachelor&rsquo;s degree in IT, Computer Science, Engineering, or a related field.
</li><li>8+ years of experience in technology project management, including delivery of complex, data-driven or AI-enabled solutions.
</li><li>Saudi nationality is mandatory.
</li><li>PMP&reg;, PRINCE2&reg;, or equivalent PMI-aligned certification is required.
</li><li>PMI-CPMAI&trade; certification is a strong advantage, with demonstrated understanding of analytics and AI project lifecycles.
</li><li>Strong capability in stakeholder engagement, governance enforcement, and cross-functional coordination.
</li><li>Proven ability to manage projects in high-visibility, regulated, or enterprise environments.</li></ul></div>

AI Project Manager

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

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

EisnerAmper

<div><h2 class="jobSectionHeader">Job Description</h2>
At EisnerAmper, we look for individuals who welcome new ideas, encourage innovation, and are eager to make an impact. Whether you&rsquo;re starting out in your career or taking your next step as a seasoned professional, the EisnerAmper experience is one-of-a-kind. You can design a career you&rsquo;ll love from top to bottom &ndash; we give you the tools you need to succeed and the autonomy to reach your goals.
EisnerAmper is seeking a highly motivated and experienced Project Manager to oversee the planning, coordination, and execution of AI-driven initiatives across EisnerAmper&rsquo;s enterprise platform. This role bridges business strategy and technology execution&mdash;managing complex, cross-functional projects that span data engineering, model development, automation, and product delivery.
You&rsquo;ll be responsible for translating strategic goals into actionable project plans, managing Agile delivery teams, and ensuring alignment between business, technical, and compliance stakeholders. The ideal candidate thrives in environments where innovation meets rigor&mdash;able to balance experimentation with governance, and speed with precision.
Strong organization, communication, and influencing skills, along with change management, business acumen, managing multiple priorities and experience with systems implementations are vital for this role.<h2 class="jobSectionHeader">
What it Means to Work for EisnerAmper:</h2><ul><li>
You will get to be part of one of the largest and fastest growing accounting and advisory firms in the industry</li><li>
You will have the flexibility to manage your days in support of our commitment to work/life balance</li><li>
You will join a culture that has received multiple top &ldquo;Places to Work&rdquo; awards<ul><li>
We believe that great work is accomplished when cultures, ideas and experiences come together to create innovative solutions</li><li>
We understand that embracing our differences is what unites us as a team and strengthens our foundation</li><li>
Showing up authentically is how we, both as professionals and a Firm, find inspiration to do our best work</li></ul></li></ul><h2 class="jobSectionHeader">
What Work You Will be Responsible For:</h2>
Project Leadership<ul><li>
Lead end-to-end delivery of AI and automation projects across the EisnerAI portfolio, ensuring on-time, on-budget, and high-quality outcomes.</li><li>
Define and manage project scope, timelines, milestones, and dependencies in collaboration with product owners, engineers, and data scientists.</li><li>
Drive sprint planning, standups, retrospectives and support backlog refinement in partnership with product and technical leads.</li><li>
Coordinate cross-functional collaboration across technology, service lines, and operations teams.</li></ul>
Technical Execution<ul><li>
Oversee delivery of AI and data components such as model pipelines, APIs, data integrations, and user-facing applications built on Azure AI and Microsoft ecosystem tools.</li><li>
Partner with engineering leads to monitor sprint velocity, manage technical risks, and enforce DevOps, security, and responsible AI standards.</li><li>
Translate business and compliance requirements into technical deliverables, ensuring adherence to data privacy, security, and governance frameworks (NIST AI RMF, Reg 7216, PCAOB).</li><li>
Collaborate with internal and external partners to align project milestones, integration timelines, and resource needs.</li></ul>
Stakeholder Management<ul><li>
Serve as a central point of contact for technical and non-technical stakeholders.</li><li>
Coordinate executive-ready reporting on project health, risks, and dependencies.</li><li>
Support change management, training, and adoption planning for new AI capabilities.</li><li>
Foster a culture of transparency, accountability, and continuous improvement across delivery teams.</li></ul><h2 class="jobSectionHeader">
Basic Qualifications:</h2><ul><li>
Bachelor&rsquo;s degree in Computer Science, Information Systems, Engineering, or related field.</li><li>
6+ years of experience managing technology projects, including at least 2+ years in AI, data, or software development environments.</li></ul><h2 class="jobSectionHeader">
Preferred or Desired Qualifications</h2><ul><li>
Demonstrated success managing Agile delivery teams and working within iterative development lifecycles.</li><li>
Experience with Azure DevOps or similar Agile tools (e.g., Jira, GitHub, Confluence).</li><li>
Familiarity with cloud architectures (Azure preferred), APIs, and data pipeline concepts.</li><li>
Strong understanding of software development lifecycle (SDLC), MLOps, and QA/testing practices.</li><li>
Excellent communication, organization, and stakeholder management skills.</li><li>
Ability to translate technical concepts for non-technical audiences.</li><li>
PMP, CSM, or equivalent Agile/PM certification.</li><li>
Experience with Microsoft Azure AI, ML Studio, or OpenAI services.</li><li>
Exposure to data governance, AI risk management, or responsible AI frameworks.</li><li>
Prior experience in professional services or enterprise technology transformation programs.</li></ul>
EisnerAmper will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, TN, O-1, E-3, H-1B1, J-1, or any other employment-based visa).<h2 class="jobSectionHeader">
About EisnerAmper:
</h2>EisnerAmper is one of the largest accounting, tax, and business advisory firms, with approximately 450 partners and 4,500 employees across the world. We combine responsiveness with a long-range perspective; to help clients meet the pressing issues they face today and position them for success tomorrow.
Our clients represent enterprises of every form, ranging from sophisticated financial institutions to startups, global public firms to middle-market companies, governmental entities as well as high-net-worth individuals, family offices, nonprofit organizations and entrepreneurial ventures across a variety of industries. We are also engaged by the attorneys, financial professionals, bankers, investors, and key stakeholders who serve these clients.
Should you need any accommodations to complete this application please email: talentacquisition@eisneramper.com
#LI-JR1<div><div><div><div><div><div><div><h2 class="jobSectionHeader">
Preferred Location:</h2></div></div></div></div></div></div></div>
Iselin</div>

AI Technical Project Manager

Tyndale Company

<div><div>Tyndale is scaling its AI and Data Science capabilities to improve safety, customer experience, and operational efficiency across our Flame-Resistant clothing business. We are hiring a Project Manager, AI &amp; Data Science, who will act as both Scrum Master for the Data Science team and Project Manager for SaaS AI products such as ChatGPT Enterprise, Veo 3, Slack AI, Scribe, and similar tools.</div><div></div><div> 
You will manage end to end delivery for Data Science projects on AWS and for enterprise SaaS AI rollouts, driving both technical execution and business adoption. On the platform side, you will work across AWS services to support building Machine Learning and Generative AI products. On the SaaS side, you will lead pilots and rollouts, change management, training, and measurement of adoption and business value.</div><div></div><div> 
HYBRID/REMOTE: Tyndale supports a strong work-life balance. This opportunity requires onsite work a minimum of 1 day per week, and 4 days per week remotely. To be considered, candidates must reside within a commutable distance from our corporate headquarters in Pipersville, PA (Bucks County) or our location in Houston, TX (City Centre).</div><div> 
</div><div>About Tyndale
</div><div>The Tyndale Company is a private, 9x Top Workplace winner in PA and 5x winner in TX, and an industry leading national supplier of arc-rated flame-resistant clothing (FRC) to the energy sector &ndash; including utilities, oil and gas, transportation, chemical manufacturing, and NFPA 70E markets. We&rsquo;re a family-owned business providing a retail-style apparel experience to hundreds of thousands of energy workers across the US and Canada. We&rsquo;re the leading distributor of innovative FRC solutions, and the largest industrial supplier of Carhartt FR, Ariat FR, and Wrangler FR clothing.</div> 
<ul><li>
Serve as Scrum Master for Data Science teams: facilitate sprint planning, daily standups, reviews, and retros; coach team members on Agile practices and remove impediments.</li><li>
Manage a backlog for Data Science and AI platform work in Jira.</li><li>
Coordinate with Data Scientists, Data Engineers, and ML Engineers building Machine Learning models and Generative AI products.</li><li>
Act as Project Manager for SaaS AI tools (for example ChatGPT, Slack AI, Scribe): manage pilots, enterprise rollout plans, communications, training, and change management to drive adoption and safe use.</li><li>
Own project scope, schedule, and budget tracking for assigned initiatives, including dependency management, change control, and stakeholder communication.</li><li>
Maintain an active risk and issue log; drive mitigations and escalations that protect delivery commitments and compliance requirements.</li><li>
Define and track success metrics such as sprint velocity, on time delivery, escaped defects, model reproducibility, data quality SLAs, SaaS AI adoption rates, and stakeholder satisfaction.</li><li>
Support vendor management activities for SaaS AI and AWS partners, including SOWs, renewals, and contract performance.</li><li>
Ensure high quality documentation for requirements, test plans, runbooks, model cards, governance artifacts, and change decisions.</li><li>
Support training, UAT, and enablement to help business teams adopt AI driven workflows and tools.</li></ul> 
<ul><li>
Minimum of 5 years of professional project management experience in technology, analytics, or data driven environments.</li><li>
Bachelor's Degree required.</li><li>
PMP certification required.</li><li>
Proven experience delivering Data Science or machine learning projects, including coordination of data ingestion, feature engineering, and model deployment.</li><li>
Experience managing SaaS AI product implementations such as ChatGPT Enterprise, Slack AI, Scribe, Veo 3, or similar tools, with a clear focus on change management and user adoption.</li><li>
Proficiency with Agile delivery tools (Jira / Confluence).</li><li>
Excellent written and verbal communication skills, with a track record of concise, executive ready reporting.</li></ul><div></div><div> 
Preferred qualifications</div><ul><li>
Scrum Master certification (CSM, PSM, or equivalent) strongly preferred.</li><li>
Familiarity with statistics, analytics, and Data Science concepts.</li><li>
Experience defining and maintaining KPI dashboards for AI and data initiatives.</li></ul><div> 
</div><div>Benefits</div><ul><li>
Health &amp; Wellness: Comprehensive medical, dental, and vision insurance with competitive premiums. Paid parental leave. Mental health support through an EAP and partial reimbursement on copays, fertility support, and robust wellness programs with annual reimbursements.</li><li>
Work-Life Balance: Many positions with Tyndale offer hybrid onsite + remote work schedules, generous PTO, paid holidays + a floating holiday, and more.</li><li>
Financial Compensation: Competitive salary, 401(k) with matching, and bonus opportunities.</li><li>
Career Growth &amp; Development: Training/certification/tuition reimbursement programs and demonstrated paths for knowledge share and internal promotion opportunity.</li><li>
Culture &amp; Perks: Family-owned values, award winning culture, team-engagement events, casual dress code, company-sponsored charitable events and activities, and an inclusive workplace that values collaboration and integrity.</li></ul><div></div><div> 
Qualified candidates are encouraged to apply on our website, www.tyndaleusa.com/careers.</div><div>
E.O.E</div><div></div><div> 
#LI-SP1 #LI-Hybrid</div></div>

Project Manager, AI and Data Science

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 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>
Compensation Statement
The U.S. annual on-target earnings (OTE) range for this full-time position is between $180,000 and $220,000 USD/year. This range represents a combination of annual base pay and targeted commission. Actual offers may be higher or lower than this range based on various factors, including (but not limited to) the candidate&rsquo;s work location, job-related skills, experience, and education.
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>
All DataRobot hires are required to complete a background check prior to starting employment, which includes identity verification, criminal history check, employment verification and education verification. Additionally, all DataRobot employees must be available to attend in-person company trainings and meetings. 
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.
All applicant data submitted is handled in accordance with our Applicant Privacy Policy.</div>

Lead Engagement Director

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

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