ai program manager

Instacart

<div><div><p><b>We're transforming the grocery industry</b></p>
<p>
At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.</p>
<p>
Instacart has become a lifeline for millions of people, and we&rsquo;re building the team to help push our shopping cart forward. If you&rsquo;re ready to do the best work of your life, come join our table.</p>
<p><b>
Instacart is a Flex First team
</b></p><p>There&rsquo;s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work&mdash;whether it&rsquo;s from home, an office, or your favorite coffee shop&mdash;while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.</p></div><div><p><b>
Overview</b></p>
<p>
The Enterprise AI Pod is a forward-deployed, field-first unit within Instacart's Enterprise Solutions team &mdash; purpose-built to take the Instacart Intelligence Platform to market with B2B retail and CPG partners. As the AI Engagement Manager, you are the operational backbone of the engagement &mdash; the person who makes complex, multi-stakeholder AI engagements actually move. This is an orchestration role, not a commercial one; success is measured by getting partners to value, not by signings or P&amp;L. You own the partner relationship from discovery through workflow adoption, hold the team accountable to delivery, and serve as the primary bridge between field execution and R&amp;D &mdash; all while managing multiple engagements simultaneously in an environment where the playbook is still being written.</p><p></p><p><b><br>
About the Job</b></p>
<ul>
<li><b>Own the full AI engagement arc</b>. From first discovery through sustained workflow adoption &mdash; serving as the external partner's single point of contact across every phase while driving scope, timelines, milestones, and escalations and keeping cross-functional workstreams aligned and moving. There is no &quot;launch and hand off&quot; in this model.</li>
<li><b>Drive requirements and delivery precision.</b> Shape engagement structure, align on objectives, translate partner needs into a clear execution plan, and track against it with rigor. Surface risks early and keep stakeholders &mdash; partner and internal &mdash; ahead of problems, not behind them.</li>
<li><b>Champion continuous quality.</b> In AI engagements there's no single gate &mdash; value is proven iteratively. You oversee the testing and feedback loops that ensure the platform is performing against real partner workflows, track adoption progress, and stay on top of the change management work that determines whether a deployment becomes a lasting behavior change.</li>
<li><b>Hold the R&amp;D feedback loop.</b> You are accountable for ensuring field learnings flow back to R&amp;D and that R&amp;D delivers on agreed roadmap commitments. When either side of the loop breaks down, you own the escalation.</li>
<li><b>Build playbooks.</b> Identify reusable patterns across engagements and turn them into scalable delivery frameworks the whole pod can use. We are early; what you build now will become the foundation for how this team operates at scale.</li>
<li><b>Own engagement economics. </b>Track the full cost structure of every active engagement &mdash; resource allocation across the pod, time spent per workstream, and cost card inputs &mdash; and maintain a running view of cost-to-deliver across the portfolio. Surface cost/benefit signals to inform prioritization and go/no-go decisions on new engagements. As the pod scales, your cost data becomes the foundation for delivery efficiency benchmarks.</li>
<li><b>This is a field-first role.</b> Travel is part of the job &mdash; expect to be on-site at partner locations during key engagement phases, with travel that could reach 50%+ at peak. Presence matters in this model.</li></ul><br>
<p></p>
<p><b>
About You</b></p>
<p>
Minimum Qualifications</p>
<ul>
<li>8+ years in technical project management, enterprise engagement management, or a related field &mdash; with a track record of delivering complex, multi-stakeholder technical programs end to end to external enterprise clientele.</li>
<li>Demonstrated experience managing programs across the full software development lifecycle &mdash; from requirements definition and scoping through build, test, and launch &mdash; including the ability to identify and manage risk, develop detailed work plans, and allocate resources across concurrent workstreams.</li>
<li>Technical fluency sufficient to hold credible conversations with partner engineering teams, understand AI/ML implementations and integration dependencies, and manage technically complex delivery workstreams without being the technical expert in the room.</li>
<li>Experience building and maintaining engagement cost models &mdash; tracking resource utilization, time allocation, and cost inputs across concurrent programs and translating those into cost/benefit analysis that informs business and deal-level decisions.</li>
<li>Exceptional communication, organizational, and time management skills, paired with a sharp attention to both details and overarching project objectives. An expert in facilitating highly productive internal and external meetings - and creating assets and processes which drive project clarity at every step.</li>
<li>Comfort operating in ambiguous, fast-moving environments where structure doesn't yet exist.</li>
<li>Proficiency across program management tools (Jira, Asana, Smartsheet), collaboration and documentation platforms (Confluence, Google Workspace), and executive-level presentation tools (PowerPoint, Google Slides).</li>
<li>Bachelor's degree in Technology, Engineering, Business, or related field, or equivalent practical experience.</li>
<li>Willingness to travel ~50% within North America.</li></ul><br>
<p></p>
<p>
Preferred Qualifications</p>
<ul>
<li>Experience managing AI, data platform, or systems integration deployments at enterprise scale.</li>
<li>Background in retail tech, e-commerce, operations, or CPG.</li>
<li>Experience working at the intersection of engineering, product, and commercial teams.</li>
<li>Familiarity with agentic AI platforms, LLM APIs, or RAG-based systems &mdash; enough to be conversant with partners and contextualize where Instacart's platform fits.</li>
<li>Familiarity with CRM tools (Salesforce), BI and reporting platforms (Tableau, Looker, Power BI), and workshop facilitation tools (Miro, Lucidspark) &mdash; enough to stay aligned with pipeline, interpret engagement metrics, and run a working session when needed.</li>
<li>PMP or equivalent program management credentials.</li>
<li>Prior work in a forward-deployed, embedded, or startup environment.</li>
</ul>
<p>#LI-Remote</p></div><div><div><div><div><p>
Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here.</p>
<p>
Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here.
<br>
<br>
For US based candidates, the base pay ranges for a successful candidate are listed below.</p></div></div><p>
CA, NY, CT, NJ</p><p>
$214,000 - $226,000 USD</p></div><div><p>
WA</p><p>
$205,000 - $216,500 USD</p></div><div><p>
OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI</p><p>
$196,000 - $207,000 USD</p></div><div><p>
All other states</p><p>
$178,000 - $188,000 USD</p></div></div></div>

AI Engagement Manager

Teach For All

<div><h1 class="jobSectionHeader"><b>Position Summary</b></h1>
<p>
To advance Teach For All's 25-year vision, we are seeking a <b>Global Lead, AI for Programmatic Impact, </b>whose primary focus is unlocking the potential of our network partners' use of AI to accelerate their programmatic impact. At its heart, this role is about helping partners use AI to have a bigger impact on the children and communities they serve &mdash; and doing that by connecting partners with each other, providing direct advisory support, capturing and sharing insights across the network, and potentially managing a subgrant fund through which partners could apply for resources to accelerate their AI programs.</p>
<p>
This is a role for someone who enables, connects, inspires, and learns alongside others. It will require deep partnerships across the organisation and network, with programmatic specialists, regional teams, technology colleagues, and the partners themselves. It also requires helping to convene and align the various people across Teach For All's global organization working on AI, ensuring our collective efforts are mutually reinforcing and coherently communicated, and upholding the network standards for responsible AI use, ensuring partners have the resources and support to use AI safely and in alignment with our shared values.</p>
<p>
This role provides consulting and advisory support with no direct authority over Partners, who are independent organisations with their own governance structures, making relationship-building, flexibility, and the ability to bridge technical and programmatic content essential.</p>
<p>
Success in this role will be reflected in:</p>
<ul>
<li>The degree to which partners are using AI innovatively and safely to advance their programmatic impact</li>
<li>The vibrancy and connectedness of AI learning communities across the network</li>
<li>Evidence of strong ethical grounding and responsible AI governance across partner organizations</li>
</ul><h1 class="jobSectionHeader"><b>About the Team</b></h1>
<p>
The Collective Learning and Consulting (CLC) team is a diverse group of over 25 staff members with an array of expertise, ranging from teacher recruitment and professional development to governance to public/private sector partnerships. In collaboration with others, the CLC team drives aggregate impact across the network by:</p>
<ul>
<li>Distilling and sharing insights</li>
<li>Designing and facilitating meaningful learning opportunities and communities in virtual, in-person, and blended spaces</li>
<li>Providing tailored coaching and consulting to early-stage entrepreneurs and current network partners</li>
<li>Contributing insights on education, leadership, and system change to the broader global ecosystem</li>
</ul><h1 class="jobSectionHeader"><b>Key Responsibilities</b></h1>
<p>
The responsibilities will include, but not be limited to:</p>
<h3 class="jobSectionHeader"><b>
1) Enable Partners to Use AI for Greater Programmatic Impact</b></h3>
<p>
The core of this role is helping network partners harness AI to deepen and accelerate their impact. This person will keep a close pulse on how partners are innovating, help them innovate more, and ensure they are doing it safely, which includes:</p>
<ul>
<li><b>1:1 advisory and consulting support</b>: Meet regularly with partners to understand their AI ambitions and challenges, provide tailored guidance, and help them develop and strengthen their AI strategies and practices</li>
<li><b>Learning experiences and community spaces</b>: In collaboration with others, create and facilitate virtual and in-person learning communities and convenings for CEOs, heads of technology, and other leaders around topics such as child safety, AI innovation, and AI policy</li>
<li><b>Capturing and sharing insights</b>: Proactively learn from partner innovations across the network and make key insights, case studies, and resources available via the network portal; connect partners pursuing similar questions so they can learn from each other</li>
<li><b>Collaboration with programmatic specialists</b>: Work alongside functional specialists (e.g. in teacher training, alumni, selection) to bring an AI lens to their communities and help catalyze conversations about how AI can strengthen specific programmatic functions</li>
<li><b>Build and buy guidance</b>: In collaboration with IT colleagues, help partners think through what to build vs. buy; stay current on the landscape of AI tools and surface recommendations for technologies that could address consistent partner needs</li>
<li><b>Subgrant fund</b>: Explore the possibility of creating a fund to enable partners' AI innovation, and collaborate with colleagues on the sub-granting team to define the parameters of that fund and to act as the programmatic lead for the fund</li>
<li><b>Network standard for responsible AI use</b>: Ensure partners have the resources, frameworks, and support they need to meet Teach For All's network standard for safe and values-aligned AI use, including on topics such as child safeguarding, data privacy, and AI governance</li>
</ul><h3 class="jobSectionHeader"><b>2) Convene and Connect Internal AI Efforts</b></h3>
<p>
AI innovation is happening across Teach For All's global organization. This role will help ensure those efforts are mutually reinforcing rather than siloed:</p>
<ul>
<li>Convene the people across our organization working on AI (e.g., teachers, alumni, cross-border learning, internal team tech innovation, and more) to ensure we are advancing holistically and communicating clearly about our collective progress</li>
<li>Inspire and connect internal teams, helping surface what we are each learning and identifying opportunities for greater coherence and collaboration</li>
</ul><h3 class="jobSectionHeader"><b>3) Contribute to Teach For All's Broader Organizational Progress</b></h3>
<ul><li>Actively collaborate across regional and functional teams, lending expertise to key organizational priorities and ensuring global AI progress is integrated into Teach For All's broader knowledge and operations</li>
</ul><h1 class="jobSectionHeader"><b>Qualifications</b></h1>
<p>
We are looking for a leader who brings both a genuine understanding of AI and its deployment and a deep commitment to and understanding of Teach For All's work and the communities we serve. The ideal candidate will possess the following qualifications and experience:</p>
<ul>
<li><b>Work Experience:</b> 8 to 10 years of experience in AI, tech, or programmatic roles, ideally globally and in diverse, low bandwidth settings</li>
<li><b>Network Connection:</b> An alum of a Teach For All network partner organization, or someone who has worked for or closely with a network partner, is highly preferred. A deep understanding of our programmatic work and the contexts in which our partners operate is essential</li>
<li><b>AI Expertise:</b> Demonstrated understanding of AI tools, technologies, and their real-world deployment, with the ability to bridge technical and programmatic content for diverse audiences, including those without a technical background</li>
<li><b>Coaching and Consulting Skills:</b> Strong coaching and consulting skills, with a proven ability to support leaders and organizations to grow and improve through strong relationships and expertise</li>
<li><b>Relationship Building:</b> Exceptional interpersonal skills and a proven ability to build and maintain collaborative relationships with multiple stakeholders across cultures, spaces, and lines of difference</li>
<li><b>Communication:</b> Outstanding verbal and written communication skills, including the ability to facilitate group calls, lead virtual and in-person convenings, and develop clear and compelling written knowledge products. Ability to communicate in English required, and proficiency in one or more additional languages preferred</li>
<li><b>Strategic Problem-Solving:</b> A genuine love of strategic, messy challenges, with a demonstrated ability to navigate ambiguity, identify opportunities, and implement innovative and culturally responsive solutions</li>
<li><b>Commitment to Teach For All's Mission:</b> Deep personal commitment to and nuanced understanding of Teach For All's purpose, theory of change, Unifying Principles, and Core Values, with the ability to foster understanding and investment of these among diverse stakeholders</li>
<li><b>Ethics and Learning: </b>Experience with or strong curiosity about the ethical dimensions of AI, including equity, data privacy, and child safeguarding. Experience designing learning experiences across diverse cultural and linguistic backgrounds is a strong plus</li>
</ul><h2 class="jobSectionHeader"><b>What Teach For All Offers</b></h2>
<ul><li>Commitment to cultivating a culture in which all staff members feel they belong, are valued for their contributions, and have an impact on our organization's progress</li>
<li>Professional and personal development experiences and ample opportunities to make a positive impact on the work of Teach For All and beyond</li>
<li>Comprehensive benefits package designed for your well-being and work-life needs</li>
<li>Generous time off and flexible work arrangements</li>
<li>And much more!</li>
</ul><h2 class="jobSectionHeader"><b>Application Instructions</b></h2>
<p>
If this opportunity sounds like the next best step in your career, please submit your resume or curriculum vitae (CV) and a one-page letter of motivation (in English) directly online. Your letter should summarize motivations for your application and how your skills and experience align with the terms of this opportunity. We look forward to learning about you and your passion for ensuring educational opportunity for all!</p>
<p><b>
Applications are reviewed on a rolling basis. Therefore, candidates are encouraged to apply at their earliest convenience.</b></p>
<h2 class="jobSectionHeader"><b>
Work Authorization</b></h2>
<p>
This position <b>does not offer</b> employment visa sponsorship, immigration assistance, or support for work permits or residency applications. To be considered, candidates must already possess valid <b>work and residency authorization</b> to work in the country of hire at the time of application.</p>
<h2 class="jobSectionHeader"><b>
Compensation</b></h2>
<p>
Salary for this position is competitive and dependent on country of hire and prior work experience and includes a comprehensive benefits package.</p>
<h2 class="jobSectionHeader"><b>
Travel and Hours</b></h2>
<p>
This role is primarily virtual, with an estimated 3-4 trips per year, though this may vary. Given that we work across different time zones, some non-traditional hours for early or later calls are an expectation of this role.
</p><h2 class="jobSectionHeader"><b>About Teach For All</b></h2>
<p>
Teach For All is a global network of over 60 independent, locally led organizations and a global organization united by a commitment to developing collective leadership to ensure all children can fulfill their potential. Each network partner recruits and develops promising leaders to teach in their nations' under-resourced schools and communities and, with this foundation, to work with others, inside and outside of education, towards a world where all children have the education, support, and opportunity to shape a better future. Teach For All's global organization works to increase the network's impact by supporting the development of new organizations; fostering network connectivity and learning; providing coaching and consulting; and enabling access to global resources for the benefit of the network.</p></div>

Global Lead, AI for Programmatic Impact

Ecolab

<div><div><div><p>A trusted partner for millions of customers, Ecolab is a global sustainability leader offering water, hygiene and infection prevention solutions and services that protect people and the resources vital to life. Building on more than a century of innovation, Ecolab has annual sales of $16 billion, employs approximately 48,000 associates and operates in more than 170 countries around the world. The Middle East and Africa Market is one of our highest-potential growth markets, and we are investing to accelerate that growth through Enterprise AI, data, and digital innovation.</p></div><p></p><div><p><br>
As our <b>Enterprise Ai - Business Engagement Leader</b> <b>&ndash; Middle East Africa</b>, you will be at the centre of the MEA market leadership team and serve as the senior link between Ecolab&rsquo;s <b>Enterprise AI</b> organisation and the Divisions, Functions, and country leaders driving growth across the region. You will fuel the MEA growth agenda with technology and AI-enabled business outcomes &mdash; accountable for the delivery of solutions, from idea to value capture.</p></div><p></p><div><p><b>
What&rsquo;s in it For You</b></p></div><div><ul><li><p><b>
Lead the Enterprise AI</b><b> </b><b>agenda</b> for one of Ecolab&rsquo;s highest-potential international markets</p></li></ul></div><div><ul><li><p><b>
Own end-to-end delivery of AI, data, and digital solutions</b> that directly accelerate top-line and margin growth across MEA</p></li></ul></div><div><ul><li><p><b>
Partner with senior Market, Division, and Function leaders</b> as a trusted commercially aware technology advisor</p></li></ul></div><div><ul><li><p><b>
Shape technology strategy, investment prioritisation, and value capture</b> inside a $16B global sustainability leader</p></li></ul></div><div><ul><li><p><b>
Influence Enterprise-wide AI and digital strategy</b> while owning local growth outcomes</p></li></ul></div><div><ul><li><p><b>
Build and develop a high-performing team</b> of business process analysts and digital talent across the region</p></li></ul></div><div><ul><li><p><b>
Competitive total rewards</b>, comprehensive benefits, and global career mobility within Ecolab</p></li></ul></div><p></p><div><p><b>
What You Will Do</b></p></div><div><p><b>
Strategic Partnership &amp; Growth Alignment</b> &mdash; Build strong partnering relationships with MEA business and function leaders to understand their growth ambitions, commercial priorities, and operational challenges. Align Ecolab&rsquo;s Technology strategy with the MEA market growth strategy, leveraging technology, AI, and analytics to unlock new revenue, expand share, and improve customer outcomes. Act as a trusted advisor and advocate for the business divisions and functions.</p></div><div><p><b>
Solutions</b><b> </b><b>Accountability</b> &mdash; Own the delivery of value stream solutions for MEA &mdash; from demand intake and business case, through design, build, deployment, adoption, and value realisation. Hold global delivery teams, partners, and local stakeholders to outcomes, schedule, cost, and quality; remove blockers; and ensure committed business value is captured and reported.</p></div><div><p><b>
I</b><b>T Project Portfolio Management</b> &mdash; Bring visibility and prioritisation to the portfolio of Enterprise AI and digital projects supporting MEA business and function activities. In line with global governance processes, establish project priorities, secure resource availability, and monitor progress to ensure timely and successful delivery. Manage stakeholder expectations and resolve issues and risks proactively.</p></div><div><p><b>
Digital &amp; AI Investment Management</b> &mdash; Work with MEA business leaders to determine Enterprise AI and digital investment levels based on growth opportunity, organisational priorities, and budgetary considerations. Provide recommendations on technology investments, cost optimisation, and resource allocation to maximise commercial value and ROI.</p></div><div><p><b>
Business Relationship Management</b> &mdash; Serve as the primary point of contact for MEA business and function leaders on Enterprise AI, data, and digital topics. Drive effective communication, manage expectations, and address systemic issues, escalations, and enhancement requests related to applications, infrastructure, and digital services.</p></div><div><p><b>
Service Delivery Assurance</b> &mdash; Oversee Enterprise AI and Digital service and support processes for the MEA business. Proactively track service levels, drive process improvement, and act as the escalation point for service topics that impact the growth agenda.</p></div><div><p><b>
Demand Intake &amp; Prioritisation</b> &mdash; Filter and prioritise MEA project requests before the PMO intake process starts. Verify budget exists in the business or Enterprise Ai plan, and confirm business resource readiness. Keep Enterprise AI resources focused on the highest-value, growth-aligned work.</p></div></div><div><div><p><b>
Governance, Security &amp; Architecture</b> &mdash; Ensure 100% Security and Enterprise Architecture sign-off on MEA projects. Drive adoption of standard, secure enterprise platforms that unlock data and AI opportunities at scale and protect the business.</p></div><div><p><b>
Talent &amp; Team Leadership</b> &mdash; Lead, coach, and develop market-aligned business process analysts and digital talent. Drive a strong Enterprise AI culture across the MEA team in line with the Ecolab leadership model, managing by influence across the broader Enterprise AI organisation.</p></div><p></p><div><p><b>
Position Details</b></p></div><div><ul><li><p><b>
Location:</b> Middle East and Africa region (primary hub Dubai)</p></li></ul></div><div><ul><li><p><b>
Travel:</b> Regional travel across Middle East and Africa; periodic international travel for Enterprise AI and Markets leadership engagements</p></li></ul></div><div><ul><li><p><b>
Reporting line:</b> Solid-line to the Global Markets Business Engagement Leader, with close alignment to the MEA Market Head as a member of the MEA market leadership team</p></li></ul></div><div><ul><li><p><b>
Work model:</b> Full-time, hybrid</p></li></ul></div><p></p><div><p><b>
Minimum Qualifications</b></p></div><div><ul><li><p>
Bachelor&rsquo;s degree in a technical, business, or related field</p></li></ul></div><div><ul><li><p>
10+ years of relevant experience in IT, Digital, AI/Data, Business Analysis, Programme Management, or a similar leadership role</p></li></ul></div><div><ul><li><p>
Demonstrated accountability and track record for delivery of major technology or digital programmes in a multi-country, matrixed environment</p></li></ul></div><div><ul><li><p>
Proven business and commercial acumen &mdash; experience of partnering with senior business and function leaders, building business cases, and translating technology strategy into measurable growth outcomes</p></li></ul></div><div><ul><li><p>
Experience managing third-party technology service providers and global delivery partners against outcome-based commitments</p></li></ul></div><div><ul><li><p>
Strong written and spoken English</p></li></ul></div><p></p><div><p><b>
Preferred Qualifications</b></p></div><div><ul><li><p>
Experience operating across the Middle East and/or Africa region, including working with local regulatory, cultural, and commercial environments</p></li></ul></div><div><ul><li><p>
Experience leading AI, data, and analytics initiatives that have delivered measurable commercial growth</p></li></ul></div><div><ul><li><p>
Experience in a global manufacturing, B2B services, or industrial environment</p></li></ul></div><div><ul><li><p>
Familiarity with enterprise platforms such as SAP/ERP, CRM, data and analytics, cloud, and security technologies</p></li></ul></div><div><ul><li><p>
Knowledge of Ecolab&rsquo;s industries &mdash; Institutional, Industrial, Healthcare, Life Sciences, Pest Elimination &mdash; is a plus</p></li></ul></div></div><div><div><ul><li><p>
Additional regional languages (Arabic, French) a plus</p></li></ul></div><div><ul><li><p>
Master&rsquo;s degree or equivalent (MBA, MSc) a plus</p></li></ul></div><p></p><div><p><b>
Key Skills &amp; Leadership Behaviours</b></p></div><div><ul><li><p><b>
Business and commercial acumen</b> &mdash; understands P&amp;L, growth levers, customer economics, and how technology and AI investments translate into commercial outcomes</p></li></ul></div><div><ul><li><p><b>
Growth mindset</b> &mdash; relentless focus on unlocking new revenue, market share, and productivity through Enterprise AI and digital</p></li></ul></div><div><ul><li><p><b>
O</b><b>wnership</b> &mdash; drives delivery from idea to adoption to value capture, with no hand-off gaps</p></li></ul></div><div><ul><li><p><b>
Leadership presence</b> to motivate and develop diverse, multi-country teams</p></li></ul></div><div><ul><li><p><b>
Manage by influence</b> &mdash; collaborates across global Enterprise AI groups to develop talent and drive results</p></li></ul></div><div><ul><li><p><b>
Focus and decisiveness</b> &mdash; enables action and progress even when faced with ambiguity</p></li></ul></div><div><ul><li><p><b>
Executive communication</b> &mdash; strong stakeholder management at C-suite and Market leadership level</p></li></ul></div><p></p><div><p><i>
Ecolab is committed to providing reasonable accommodation to qualified individuals with a disability.</i></p></div><p></p><div><p><b>
About Enterprise AI at Ecolab</b></p></div><div><p>
Enterprise AI is the technology and intelligence engine behind Ecolab&rsquo;s global growth &mdash; delivering the AI, data, platforms, and digital solutions that help our customers and our 48,000 associates operate cleaner, safer, and more sustainably in more than 170 countries. We combine the agility of an AI-first organisation with the scale and stability of a Fortune 500 enterprise, partnering closely with every Ecolab Division, Market, and Function to turn data and technology into measurable commercial growth.</p></div><div><p>
Join us, and help shape what comes next &mdash; for Ecolab, for our customers, and for the planet.</p></div></div><p><b><br>
Our Commitment to a Culture of Inclusion &amp; Belonging</b><br>
Ecolab is committed to fair and equal treatment of associates and applicants and furthering the principles of Equal Opportunity to Employment. We will recruit, hire, promote, transfer and provide opportunities for advancement based on individual qualifications and job performance in all matters affecting employment, compensation, benefits, working conditions, and opportunities for advancement. Ecolab will not discriminate against any associate or applicant for employment because of race, religion, color, creed, national origin,citizenship status, sex, sexual orientation, gender identity and expressions, genetic information, marital status, age, or disability.</p></div>

Business Engagement Leader

HR Hub

<p>Role Purpose</p><p>As the Senior AI Delivery Lead, you will drive the execution of enterprise AI capabilities across</p><p>the group. You will champion a &quot;Configure-First&quot; approach&mdash;leveraging Copilot Studio for rapid</p><p>M365-integrated solutions while reserving custom engineering for complex orchestration via</p><p>Azure AI Foundry. This role balances internal delivery, deep business collaboration, and the</p><p>technical oversight of external AI providers to ensure a unified and secure AI ecosystem.</p><p>The role operates within a federated group structure spanning 13 insurance entities across 9</p><p>MENA countries. Influence and credibility matter more than hierarchy &mdash; the ability to engage</p><p>subsidiary teams, win trust across cultures, and drive adoption without direct authority is as</p><p>important as technical capability.</p><p>Key Responsibilities</p><p>1. Business Collaboration &amp; Use Case Strategy</p><ul><li>Domain Partnership: Work directly with business, underwriting, claims, operations,</li></ul><p>finance, and risk teams to identify, document, and prioritize high-value AI use cases</p><p>across subsidiaries.</p><ul><li>Solution Translation: Translate complex business problems into functional AI solutions,</li></ul><p>moving from initial ideation to proof of concepts (PoCs) and MVPs.</p><ul><li>Ideation Leadership: Facilitate AI circles, hackathons, and prototype labs to foster a</li></ul><p>culture of AI-driven innovation across the group.</p><p>2. Tiered AI Delivery &amp; Engineering</p><ul><li>Rapid Deployment: Prioritize the use of Copilot Studio and Power Platform for</li></ul><p>conversational AI and internal knowledge assistants to ensure speed-to-market.</p><ul><li>Custom Orchestration: Design and implement bespoke RAG pipelines and agentic</li></ul><p>workflows using the Microsoft Agent Framework and Azure AI Agent Service.</p><ul><li>Integration: Build AI-enabled workflows that connect with enterprise systems (CRM,</li></ul><p>ERP, Claims systems) via custom APIs and connectors.</p><p>3. External Project Oversight</p><ul><li>Vendor Gatekeeping: Serve as the lead technical reviewer for AI projects developed by</li></ul><p>external providers to ensure they meet group standards for architecture and scalability.</p><ul><li>Compliance Alignment: Ensure third-party solutions adhere to the Group AI</li></ul><p>Governance Framework, data classification standards, and security protocols.</p><p>4. Governance &amp; Monitoring</p><ul><li>Security &amp; Risk: Apply essential controls, including prompt injection protection and</li></ul><p>sensitive data detection, ensuring all AI activity is visible via Microsoft Sentinel.</p><ul><li>Performance Metrics: Maintain dashboards tracking token consumption, Azure costs,</li></ul><p>and the measurable business value delivered by each deployment.</p><p>Required Experience &amp; Skills</p><ul><li>Experience: 5&ndash;8 years in AI/Software Engineering or Digital Transformation with a clear</li></ul><p>progression toward delivery leadership.</p><ul><li>Microsoft Ecosystem: Hands-on expertise in Copilot Studio, Azure AI Foundry, Azure</li></ul><p>OpenAI, and Azure AI Search.</p><ul><li>Agentic Frameworks: Experience with the Microsoft Agent Framework, Azure AI Agent</li></ul><p>Service, or equivalent orchestration frameworks such as LangChain, AutoGen, or</p><p>Semantic Kernel.</p><ul><li>Technical Proficiency: Professional command of Python and at least one of C#,</li></ul><p>JavaScript, or TypeScript.</p><ul><li>Stakeholder Engagement: Exceptional communication skills, with the ability to engage</li></ul><p>equally with technical engineers and non-technical business leaders.</p><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><p>MENA footprint.</p><p>Preferred Certifications</p><ul><li>Microsoft Azure AI Engineer Associate, Azure Solutions Architect Expert, Microsoft</li></ul><p>Power Platform certification</p><ul><li>Security certification: SC-900, AZ-500, or equivalent</li></ul><p>Success Indicators</p><p>The 90-Day Plan</p><ul><li>Governance Baseline: Establish the group's AI solution architecture and governance</li></ul><p>checklist.</p><ul><li>Active Delivery: Have at least one AI use case in active pilot and a documented roadmap</li></ul><p>of prioritized business use cases.</p><ul><li>Platform Readiness: Baseline the Azure AI platform with full logging, cost controls, and</li></ul><p>SIEM visibility.</p><p>The 12 Months Plan</p><ul><li>Active Delivery: Scale 4&ndash;6 AI use cases into production across at least two business</li></ul><p>functions</p><ul><li>Governance Baseline: Quarterly value reporting to leadership about ai adoption and</li></ul><p>usage.</p><p>Reporting Line</p><p>This role reports directly to the Group CTO, with close working relationships with:</p><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><p>Application Question(s):</p><ul><li>Expected Salary?</li></ul><p>Work Location: In person</p>

Senior AI Delivery Lead

Kavak

<div><div><p>Job Information</p>
<ul><div><p>Date Opened</p>
<div>06/03/2026
</div></div><div><p>Job Type</p>
<div>Full time
</div></div><div><p>Industry</p>
<div>Automotive
</div></div><div><p>State/Province</p>
<div>Dubayy (Dubai)
</div></div><div><p>City</p>
<div>Dubai
</div></div><div><p>Zip/Postal Code</p>
<div>337-1500
</div></div><div><p>Country</p>
<div>United Arab Emirates
</div></div></ul></div><div><p>About Us</p>
<div><div><b>Who WE are?</b><br>
KAVAK is the number one e-commerce in the purchase and sale of pre-owned vehicles with the fastest growth in Latin America. We<b> </b><b>work smart and make things happen,</b> offering the<b> </b><b>easiest, safest and most transparent experience to buy or sell a car</b>.<br>
<br>
But our journey doesn't stop there: at KAVAK our goal is global! Now <b>our footprint extends to the vibrant GCC region</b><b> </b>as part of our expansion into the Middle East, in the pursuit of our one and only goal: <b>to transform the automotive market around the world.</b><br>
<br>
Today we have more than 180 Kavakees on the GCC team and growing, <b>surrounding ourselves with the best talent</b> to continue <b>building the technology, processes, and products</b> that make us the <b>number one player in the pre-owned car market</b>.<br>
<br>
Wanna join us on this exciting ride?</div><br>
</div><p></p><p>Job Description</p>
<div><p><b>Role Purpose</b></p><p><br>
Trainees rotate through three core departments and a mandatory rotation in a customer facing department - spending six weeks in each. The program is designed around the automotive re-commerce lifecycle and calibrated to the specific regulatory, cultural, and competitive dynamics of the UAE market.</p><p><br>
The capstone project &mdash; an AI Automation Opportunity Map &mdash; tasks each trainee with documenting and prioritising processes across all departments that could be improved through AI or automation. The output feeds directly into Kavak GCC's AI roadmap, ensuring the program delivers strategic value beyond talent development.</p><p><b><br>
Key Responsibilities:</b></p><p><br>
The 12-month program is structured in 8 phases: a 2-week onboarding, six 4&ndash;6 week rotations following the vehicle lifecycle, and a 12-week capstone period. The rotation sequence is intentional &mdash; trainees build understanding from the ground up, starting with the physical product and progressing through commercial, technical, financial, and human layers.</p><p><b><br>
Key milestones</b></p><p><br>
Week 1 &mdash; Onboarding complete; buddy and rotation manager assigned</p><p><br>
Week 8 &mdash; First rotation review; first AI opportunity log entry submitted</p><p><br>
Week 24 &mdash; Mid-program review; preferred department signalled to HR</p><p><br>
Week 36 &mdash; Full AI opportunity log submitted to People Manager &amp; Program Manager</p><p><br>
Week 46 &mdash; Capstone documents submitted (inventory, matrix, 3 proposals)</p><p><br>
Week 47&ndash;48 &mdash; Leadership panel presentations; placement decisions communicated</p><div></div><p><br>
Requirements</p><div>
University Graduates in disciplines of Management, AI, Business, Marketing, Finance &amp; Accounting.</div><p><br>
Benefits</p><ul><li>
Life insurance<br>
</li><li>
Preferential price for retail cars upon completion of probation period<br>
</li><li>
22 working days of holidays<br>
</li><li>
GPSSA- General Pension &amp; Social Security Authority<br>
</li><li>
Diverse and inclusive company culture: our team that spans continents, cultures, and backgrounds. This diverse workforce brings together a wealth of ideas and experiences, enriching your professional journey</li></ul><div></div><div><br>
If you are passionate about delivering exceptional customer experiences, thrive on challenges, and seek to be part of a mission-driven team, KAVAK is the ideal place for you!</div></div></div></div><p></p>

Kavak's Ruwwad Graduate Program - Emiratis

DataRobot

<div><p><b>Job Description:</b></p><p></p><p>
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.</p><p></p><p>
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.</p><p></p><p>
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.</p><p></p><p><b><br>
Key Responsibilities:</b></p><ul><li><p>
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.</p></li><li><p>
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.</p></li><li><p>
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.</p></li><li><p>
Stakeholder Management: cultivate strong, trusted relationships with client sponsors. You will manage expectations, handle escalations, and navigate complex organizational dynamics to ensure project success.</p></li><li><p>
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.</p></li><li><p>
Agile Delivery: Run agile sprints, stand-ups, and sprint reviews, ensuring the delivery team maintains high velocity and clear direction.</p></li></ul><p></p><p><b><br>
Knowledge, Skills and Abilities</b>:</p><p><b>
Technical Fluency:</b></p><ul><li><p>
Understanding of system architectures, API integrations, and cloud infrastructure</p></li><li><p>
Ability to engage in discussions on the software development lifecycle (SDLC) with engineering teams</p></li><li><p>
Familiarity with GenAI and Agentic systems (e.g., non-deterministic behavior, latency trade-offs, MCP servers, RAG architectures)</p></li></ul><p></p><p><b>
Business Acumen:</b></p><ul><li><p>
Ability to define KPIs, measure ROI, and align technical outputs with strategic business objectives</p></li></ul><p></p><p><b>
Consulting Mindset (&ldquo;Consulting DNA&rdquo;):</b></p><ul><li><p>
Disciplined approach to project governance, documentation, and client communication</p></li></ul><p></p><p><b><br>
Requisite Education and Experience / Minimum Qualifications:</b></p><p><b>
Related Experience:</b></p><ul><li><p>
7+ years of professional experience, including delivery of complex software or data products for enterprise clients</p></li></ul><p></p><p><b>
Hybrid Background:</b></p><ul><li><p>
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)</p></li></ul><p></p><p><b>
AI/ML Experience:</b></p><ul><li><p>
Experience managing data science or machine learning projects</p></li></ul><p></p><p><b>
Education:</b></p><ul><li><p>
Technical undergraduate degree (Computer Science, Engineering, or similar); MBA preferred</p></li></ul><p></p><p><b>
Certifications:</b></p><ul><li><p>
PMP, Scrum Master (CSM), or cloud certifications (AWS, Azure, GCP) preferred</p></li></ul><p></p><p><b>
Consulting Experience:</b></p><ul><li><p>
Experience working within a management consulting or technology consulting environment (Big 4 or boutique)</p></li></ul><p></p><p>
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!</p><p></p><p><b>
DataRobot Operating Principles:</b></p><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><p><br>
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%. <b>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.</b> We&rsquo;d love to have a conversation with you and see if you might be a great fit.
</p><p></p><p>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.</p><p><b><br>
Use of Artificial Intelligence in Our Hiring Process</b></p><p><br>
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.</p><p></p><p><br>
All applicant data submitted is handled in accordance with our Applicant Privacy Policy.</p></div>

Senior Engagement Director

exceptional interior decoration

<p><b>Position:</b> AI &amp; Digital Transformation Manager</p><p><b>Position Overview</b></p><p>The <b>AI &amp; Digital Transformation Manager</b> 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.</p><p>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.</p><p>The successful candidate will act as the company&rsquo;s internal AI expert and innovation leader, ensuring that technology delivers measurable business value.</p><p><b>Key Responsibilities</b></p><p><b>AI Strategy &amp; Implementation:</b></p><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><p><b>Business Process Automation</b></p><p><b>Implement AI-driven solutions for:</b></p><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><p><b>Construction &amp; Project Management Applications</b></p><p><b>Implement AI solutions that support:</b></p><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><p><b>Design &amp; Creative Applications</b></p><p><b>Implement AI solutions for:</b></p><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><p><b>Staff Training &amp; Change Management:</b></p><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><p><b>Knowledge Management</b></p><p><b>Develop and maintain:</b></p><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><p><b>Performance Monitoring:</b></p><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><p><b>Key AI Platforms (Expected Experience)</b></p><p><b>Productivity:</b></p><ul><li>ChatGPT</li><li>Microsoft Copilot</li><li>Gemini</li><li>Claude</li><li>Notion AI</li></ul><p><b>Automation:</b></p><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><p><b>Construction &amp; Project Management:</b></p><ul><li>Autodesk Construction Cloud</li><li>Procore</li><li>Bluebeam</li><li>PlanSwift</li><li>Togal.AI</li><li>OpenSpace</li></ul><p><b>Data &amp; Reporting:</b></p><ul><li>Power BI</li><li>Looker Studio</li><li>Airtable</li><li>Excel AI</li><li>KPIs</li></ul><p><b>The employee will be evaluated based on:</b></p><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><p><b>Ideal Candidate Profile:</b></p><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><p>What This Role Will Build for <b>Exceptional</b>?</p><p>Within the first 12 months, this person should aim to create:</p><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><p>www.exceptional-pm.com</p><p>Work Location: In person</p>

AI & Digital Transformation Manager

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