ai program manager

Onebridge

<div>Onebridge, a Marlabs Company, is a global AI and Data Analytics Consulting Firm that empowers organizations worldwide to drive better outcomes through data and technology. Since 2005, we have partnered with some of the largest healthcare, life sciences, financial services, and government entities across the globe. We have an exciting opportunity for a highly skilled AI Program Manager to join our innovative and dynamic team.
AI Program Manager | About You
As an AI Program Manager, you are responsible for coordinating and driving execution across AI‑focused software delivery teams. You bring strong experience supporting programs that involve machine learning workflows, data governance, model development, and cloud‑based AI product delivery. You thrive in Agile environments and excel at bringing structure, alignment, and predictability to complex cross‑team initiatives. You communicate clearly with engineering, product, and data science partners, ensuring dependencies, risks, and priorities are well understood. You are detail‑oriented, highly organized, and skilled at maintaining governance standards while enabling teams to deliver AI capabilities efficiently and consistently.
AI Program Manager | Day-to-Day
<ul><li>Facilitate Agile ceremonies for AI and ML engineering PODs, ensuring all teams follow established AI delivery frameworks and governance processes.</li><li>
Coordinate planning activities with Product, ML Engineering, Data Science, UX, and Architecture by documenting requirements, dependencies, milestones, and risks.</li><li>
Maintain governance artifacts including schedules, RAID logs, decision records, and AI‑specific delivery documentation.</li><li>
Track progress across AI workstreams, capturing updates from sprint reviews, model checkpoints, training cycles, and evaluation sessions.</li><li>
Support cross‑functional alignment by coordinating client engagement logistics, AI use‑case prioritization, and model delivery readiness.</li><li>
Prepare bi‑weekly delivery reports summarizing progress, risks, blockers, and upcoming AI release milestones using Smartsheet, Azure DevOps, or similar tools.</li></ul>
AI Program Manager | Skills &amp; Experience
<ul><li>5+ years of experience supporting software, SaaS, or AI/ML delivery programs in an Agile environment.</li><li>
Proven experience coordinating AI‑enabled product development, including data pipelines, model training workflows, feature engineering, or ML deployment cycles.</li><li>
Strong ability to manage inter‑team dependencies and align work across Product, ML Engineering, Data Science, and Cloud Engineering teams.</li><li>
Experience maintaining program schedules, RAID logs, delivery documentation, and governance artifacts across multiple PODs or workstreams.</li><li>
Proficiency with tools such as Smartsheet, Azure DevOps, and Confluence, including structured reporting and dashboard creation.</li><li>
Familiarity with AI delivery concepts including data governance, model lifecycle stages, technical risks, and responsible AI considerations.</li></ul></div>

AI Program Manager

The Home Depot

<div>Position Purpose:
The Senior Analyst, Program Management - AI / Automation Enablement, is the functional lead and execution engine for high-impact AI-powered solutions. This role bridges the gap between business strategy and technical delivery, translating the needs of Online Merchants and Brand Advocates into scalable, automated workflows.
Reporting to the Senior Manager, this individual is responsible for the day-to-day management of a &quot;Balanced Team&quot; (Data Science, IT, and UX), ensuring that technical roadmaps are aligned with business realities. The Senior Analyst combines a strong grasp of data architecture and SQL/data warehousing with a product-centric mindset to drive the development, integration, and adoption of agentic systems across a 1&ndash;2 year program horizon.
Key Responsibilities:<ul><li>
25% Cross-Functional Coordination - Balanced Team Leadership: Lead the daily cadence and project rhythm for a matrixed team of Data Science, IT, and UX partners, ensuring high-performance and program rigor. Collaborative Best Practices: Actively contribute to the solution design process, voicing opinions on best practices and fostering a culture of continuous improvement within the technical team. Dependency Management: Proactively identify and resolve impediments across indirect support teams, ensuring that cross-functional roadmaps remain synchronized.</li><li>
30% Program Execution &amp; Sprint Delivery - Roadmap Management: Orchestrate the phased delivery of AI solutions, balancing immediate sprint needs with the long-term (1&ndash;2 year) strategic goals of the program. Execution Rigor: Manage program tracking against the roadmap, focusing on schedule, scope, and resource alignment while translating technical risks into potential business impacts. Integration Strategy: Coordinate the seamless embedding of AI tools into existing merchant workflows, ensuring that solutions are user-friendly and technically scalable.</li><li>
15% Stakeholder Alignment &amp; Value Realization - User Advocacy: Serve as the primary point of contact for Online Merchants and Brand Advocates, managing expectations and communicating transparent status updates. Adoption &amp; Change Management: Support the development of change management plans to ensure business teams effectively adopt and trust new AI-driven processes. Value Tracking: Monitor tool performance and report on business outcomes (e.g., efficiency gains, ROI, and decision-making accuracy) to leadership and executive stakeholders.</li><li>
30% Technical Product Ownership &amp; Solutioning - Workflow Translation: Partner with business users to deconstruct manual processes into structured logic, identifying where AI and automation can drive the most operational leverage. Data Fluency: Leverage SQL and data warehouse knowledge to understand underlying data structures, validate model inputs, and ensure technical solutions are built on a sound architectural foundation. Technical Requirement Definition: Translate ambiguous business &quot;pain points&quot; into high-quality technical requirements, user stories, and acceptance criteria for Data Science and Engineering teams. Product Quality Assurance: Act as a primary tester for AI outputs, ensuring the solution meets the rigorous accuracy and reliability standards required by the business.</li></ul>
Direct Manager/Direct Reports:
<ul><li>This Position typically reports to Senior Manager.
</li><li>This Position does not have direct reports.</li></ul>
Travel Requirements:<ul><li>
Typically requires overnight travel less than 5% of the time.
</li></ul>Physical Requirements:
<ul><li>Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions, there may be a need to move or lift light articles.</li></ul>
Working Conditions:
<ul><li>Located in a comfortable indoor area; any unpleasant conditions would be infrequent and not objectionable.</li></ul>
Minimum Qualifications:
<ul><li>Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li><li>
4+ years of professional experience in a Product Management, Business Analysis, or Technical Program Management capacity.</li><li>
2+ years of direct experience contributing to the implementation of AI, ML, or Automation solutions within business workflows.</li><li>
Demonstrated experience leading cross-functional &quot;Balanced Teams&quot; (Data Science, Engineering, UX) in an agile or sprint-based environment.</li><li>
Technical Data Proficiency: Proficiency in SQL and experience navigating cloud data warehouses to analyze data structures and validate solution inputs.</li><li>
Business Translation: Proven ability to translate ambiguous business &quot;pain points&quot; into structured technical requirements and user stories.</li><li>
Solution Lifecycle Management: Experience driving a technical product from initial requirements through UAT, deployment, and user adoption.</li></ul>
Preferred Qualifications:<ul><li>
Bachelor&rsquo;s degree in a relevant field (Computer Science, Data Analytics, Business Information Systems, or equivalent).</li><li>
Technical Product Ownership: Prior experience working as a Product Owner or Lead Analyst within a modern software design and development team.</li><li>
Process Optimization: Demonstrated experience re-engineering manual business processes into automated or AI-enabled workflows.</li><li>
AI Ecosystem Knowledge: Familiarity with the components of Generative AI systems, including an understanding of how models integrate with enterprise applications via APIs or orchestration layers.</li><li>
Data Architecture: Knowledge of data modeling concepts and how data flows from source systems to AI model endpoints.</li><li>
Retail or E-commerce Experience: Prior experience supporting Online Merchants, Brand Advocates, or similar business-side stakeholders in a large enterprise environment.</li><li>
Change Management: Experience developing training materials and documentation to drive the adoption of new technical tools.</li></ul>
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.</li></ul>
Preferred Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul>
Minimum Years of Work Experience:<ul><li>
2</li></ul>
Preferred Years of Work Experience:
<ul><li>4</li></ul>
Minimum Leadership Experience:<ul><li>
No previous leadership experience</li></ul>
Preferred Leadership Experience:
<ul><li>No previous leadership experience</li></ul>
Certifications:
<ul><li>Insurance licensing as required by state</li></ul>
Competencies:
<ul><li>Action Oriented</li><li>
Collaborates</li><li>
Drives Engagement</li><li>
Ensures Accountability</li><li>
Communicates Effectively</li><li>
Customer Focus</li><li>
Drives Results</li><li>
Manages Conflict</li></ul></div>

Sr Analyst, Program Management AI Automation Enablement

Openkyber

<div>BA/AI Delivery Engineer Berkley Heights NJ or NYC office in Hudson Yards Duration: 6+ months Onsite 4 days per week Interview process: Video + in-person MUST TAKE THE ROPES ASSESSMENT TEST PROVIDED BY THE CLIENT AS THAT IS THE FIRST MODE OF INTERVIEW. Insurance domain required: Prefer P&amp;C Insurance , but Life or other insurance experience is acceptable
Here are the top 4 skills from the hiring manager:
<ul><li>Chatbot development</li>
<li>Agentic AI frameworks</li>
<li>Snowflake Cortex Analyst</li>
<li>LLMOps</li>
</ul>We should look for people with more experience on business application and clear business driven objectives.
Overview
Seeking an experienced AI Delivery Manager to lead the design, development, and delivery of next generation AI and analytics solutions leveraging Snowflake, Snowflake Cortex Analyst, Agentic AI frameworks, and modern application development patterns.
The ideal candidate will have a strong background in Snowflake data warehousing, semantic model development, RAG architectures, chatbots, and Streamlit-based AI apps. Prior Property &amp; Casualty (P&amp;C) insurance domain knowledge is preferred but not required. This is a hands-on leadership role working closely with business stakeholders, data engineering teams, and AI solution architects to drive end-to-end delivery of AI/ML and analytics capabilities.
Key Responsibilities AI Program &amp; Delivery Leadership
<ul><li>Conceptualize, develop POC and lead end-to-end delivery and operationalization of AI/ML and GenAI solutions.</li>
<li>Manage cross-functional teams including data engineers, ML engineers, analysts, and application developers.</li>
<li>Develop and maintain delivery roadmaps, status reports, and stakeholder communications.</li>
<li>Ensure high-quality delivery aligned with business objectives, timelines, and compliance requirements.</li>
</ul>Solution Architecture &amp; Technical Leadership
<ul><li>Work with Enterprise Architect and oversee solutions using:
</li><li>Snowflake Cortex Analyst and Snowflake Intelligence features (e.g., Cortex functions, vector search, data classification).</li>
<li>Agentic AI architectures, including chaining, orchestration, and autonomous task execution.</li>
<li>Retrieval Augmented Generation (RAG) integrations and configuration for enterprise use cases.</li>
<li>Guide the creation of semantic models to support analytics and AI consumption layers.</li>
<li>Oversee development of Streamlit apps, custom UI frontends, and AI-enabled workflows.</li>
<li>Provide leadership for modern chatbot development, including LLM orchestration, grounding, and prompt engineering.</li>
</ul>Collaboration &amp; Stakeholder Engagement
<ul><li>Translate business problems into actionable AI/ML use cases and technical requirements.</li>
<li>Collaborate with Product, IT, Data Governance, and Business Units to drive adoption of new capabilities.</li>
<li>Partner with Snowflake technical teams to leverage new features and optimize architecture.</li>
</ul>Governance, Security &amp; Best Practices
<ul><li>Ensure delivery follows enterprise standards for data quality, security, privacy, and model governance.</li>
<li>Support implementation of MLOps / LLMOps processes to ensure scalable and reliable deployments.</li>
<li>Promote standardization, reusable components, and best practices in AI solution development.
</li></ul>Required Qualifications
<ul><li>5+ years of experience in data/AI solution delivery, including project or program management.</li>
<li>Strong knowledge of Snowflake datawarehouse</li>
<li>Hands-on experience with Snowflake Cortex capabilities and integrating LLM-powered features.</li>
<li>Experience developing and deploying:
</li><li>Semantic models (dbt, LookML, or similar)</li>
<li>Agentic AI workflows</li>
<li>RAG pipelines</li>
<li>Chatbots using LLM frameworks</li>
<li>Python-based Streamlit applications</li>
<li>Solid understanding of cloud platforms (AWS, Azure, or Google Cloud Platform).</li>
<li>Strong communication, stakeholder management, and delivery oversight skills.</li>
</ul>Preferred Qualifications
<ul><li>Experience in Property &amp; Casualty insurance (Underwriting, Claims, Policy, Billing, Risk).</li>
<li>Familiarity with vector databases, embedding models, and LLM tuning strategies.</li>
<li>Exposure to LLMOps tooling (MLflow, Snowflake Model Registry, LangChain, or similar).</li>
<li>Certification in Snowflake or cloud platforms.</li>
</ul>Soft Skills
<ul><li>Strong leadership and team collaboration skills.</li>
<li>Ability to manage multiple streams of work in a fast-paced environment.</li>
<li>Excellent analytical, problem solving, and communication skills.</li>
<li>Thought leadership mindset with ability to guide stakeholders through AI transformation</li>
</ul>For applications and inquiries, contact: hirings@openkyber.com</div>

Machine Learning Developer

Adobe

The Opportunity
 The role is responsible for leading a team of Program Managers across complex, cross-functional localization programs that enable international release of Adobe products, Help content, and Marketing assets. This role is accountable for program delivery from definition and planning through execution and launch, operating across product engineering, content teams, marketing and regional teams, in addition to a large external vendor ecosystem.
 
The position requires strong strategic leadership, technical judgment, and the ability to influence outcomes across teams. Besides international releases, the role includes running a complex worldwide network of agencies. It also involves coordinating a significant outsourcing budget of $30–35M, improving efficiency and governance with AI-enabled program management practices.
 
Further, this role needs strong technical expertise to lead a team of Technical Program Managers driving the company’s transition toward AI-first, agentic workflows . This role now sits at the center of engineering execution, AI platform strategy, and operational transformation.
 
This role will own delivery of complex, multi-year programs focused on embedding AI into core products and internal workflows , evolving traditional systems into AI-enabled, autonomous, and scalable architectures . Beyond execution, this role shapes how the organization thinks about programs in an AI-native world.
 
This role will enable the group to operate as technical leaders with an AI-first approach where traditional workflows are successfully re-imagined as intelligent, AI-enabled systems and AI programs are delivered with technical rigor, speed, and measurable business impact.
 
This role will enable senior leadership to have high confidence in execution, trade-offs, and AI strategy alignment.
 
What you'll Do
 
Program Leadership & Execution
 
Drive multi-product localization programs for flagship Adobe products and marketing launches, in collaboration with engineering, content, marketing, regional, and external partners
 
Anticipate, assess, track, and mitigate risks related to scope, quality, cost, vendor capacity, and timelines; call out with data-driven recommendations as needed
 
Autonomously manage multiple concurrent programs, balancing critical near-term delivery commitments with longer-term pivotal initiatives
 
Own a portfolio of complex, technically deep programs focused on AI enablement and platform modernization
 
Management of initiatives involving: 
Agentic workflows and multi-agent orchestration
 
Human-in-the-loop and autonomous decision systems
 
Partner with engineering teams to translate AI strategy into executable technical roadmaps
 
Planning & Cross-Functional Influence
 
Serve as a central point of contact between internal partners (Product, Engineering, Content, Marketing, Legal, Security, Privacy) and external partners in resolving cross-program challenges
 
Influence strategic and tactical decisions through structured proposals that clearly articulate trade-offs, dependencies, and business impact
 
Communicate program status, risks, and systemic issues at the appropriate altitude for senior leadership and partner teams
 
Manage complex programs involving re-architecting traditional workflows into AI-enabled, automated, and intelligent systems
 
Technical & AI-Enabled Program Management
 
Demonstrate strong understanding of technical requirements, content pipelines, release models, and localization workflows to assess scope, dependencies, and critical paths
 
Drive product ownership for Adobe’s powerful AI-powered globalization platform (glaas.ai)
 
Partner with engineering and platform teams to evaluate and operationalize emerging AI technologies that enhance international execution at scale
 
Apply GenAI and AI/ML capabilities across the program management stack, including, AI-assisted planning, forecasting, and capacity modeling
 
Data-driven prioritization and scenario analysis, automated program reporting and executive insights to measure and improve quality, speed, and cost efficiency
 
Global Agency Ecosystem & Outsourcing Budget management
 
Own and manage a complex, global localization agency ecosystem, spanning multiple service providers, regions, languages, and content types, including e2e contracting and rate card negotiations
 
Establish clear operating models, performance expectations, SLAs, and governance mechanisms to ensure predictable delivery, quality, and scalability
 
Partner closely with Procurement, Finance, Legal, and Security teams on vendor strategy, contracting, compliance, and risk management
 
Drive vendor performance management through metrics, business reviews, and continuous optimization of capacity, quality, and cost
 
Accountable for global outsourcing budget of approximately $30-35M. Own forecasting, budgeting, and financial planning for Globalization-managed programs, ensuring spend aligns with business priorities and delivery commitments
 
Identify cost optimization opportunities through process improvements, vendor strategy, automation, and AI-enabled efficiencies while maintaining quality and time-to-market
 
Communication, Governance & Operational Excellence
 
Serve as a strategic execution partner to senior Engineering, AI, and Product leaders. Translate complex, multi-dimensional program data into concise insights to enable timely, informed decision-making at senior leadership levels
 
Communicate complex AI program progress, threats, dependencies and trade-offs to senior leadership audiences
 
Influence prioritization and investment decisions across AI platforms and product initiatives
 
Identify and resolve misalignment and facilitate clear, consistent communication across geographically distributed teams, vendors, and partners
 
Ensure compliance with legal, security, privacy, and regional requirements across all localized work
 
Provide financial visibility, and insights to senior leadership to support informed decision-making, through defined metrics, and operating rhythms suited for AI-heavy programs
 
Team Leadership and Capability Building
 
Lead, mentor, and grow a team of Technical Program Managers
 
Set expectations for technical rigor, system-level thinking, and AI fluency within the Program Management org
 
Build a strong Technical Program Manager culture that balances speed, quality, and responsible AI practices
 
Coach TPMs to act as technical leaders, not just coordinators across programs
 
What you need to succeed
 
Bachelor’s degree in engineering; Management (MBA) from premier institutes preferred
 
12–15+ years of experience in technical, content, or localization program management, including ownership of large, cross-functional programs
 
Strong technical understanding of Agentic and process-focused AI systems, data pipelines, APIs, cloud infrastructure, and distributed systems
 
Proven experience delivering large-scale, platform-level technical programs
 
Proven track record of driving scalable frameworks, complex vendor optimization, and cross-organizational process improvements
 
Excellent communication skills with experience influencing senior leaders along with strong analytical, quantitative, and data-driven decision-making skills
 
Hands-on experience applying GenAI and AI/ML technologies to program management, localization, or content operations
 
Familiarity with cloud-based development models, continuous localization, and CI/CD release practices
 
Hands-on experience working with AI/ML teams or platforms in fast paced, technology-focused product environments
 
Experience modernizing legacy workflows using AI and automation, and familiarity with AI governance, evaluation, and responsible AI practices
 About Adobe
 Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
 
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
 
Let’s Adobe together
 At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture , focus on people, purpose and community , Adobe for All , comprehensive benefits programs , the stories we tell , the customers we serve, and how you can help us advance our mission of empowering everyone to create.
 
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.
 
Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.
 
AI Use Guidelines for Interviews: 
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
 
At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience .
 
Expected Pay Range: Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $171,900 -- $326,800 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
 
In California, the pay range for this position is $225,700 - $326,800
 
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
 
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
 
State-Specific Notices: 
California : 
Fair Chance Ordinances
 Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
 
Colorado: 
Application Window Notice
 
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
 
Massachusetts: 
Massachusetts Legal Notice
 It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Director, Engineering Program Management - AI Platforms & Globalization

<div>
 
 
 Job Summary
 
 
 
 
 
 
 The AI Transformation Manager is responsible for leading the organization&rsquo;s transition into an AI-first enterprise. This role involves identifying high-value AI use cases, managing the implementation of agentic workflows and LLM-based systems, and driving the cultural change necessary for employees to work alongside AI. You will not only manage technology but also lead the "Workforce Transformation," ensuring that AI investments result in measurable ROI and enhanced human potential.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 1. Strategic Planning &amp; Roadmap Development
 
 
 <ul>
 <li>
 Develop and maintain the Enterprise AI Roadmap, prioritizing use cases based on feasibility, cost, and business impact.
 </li>
 <li>
 Define KPIs for AI success (e.g., time-to-market reduction, cost-per-task optimization, or revenue uplift).
 </li>
 <li>
 Partner with senior leadership to align AI initiatives with the company&rsquo;s 3&ndash;5 year growth goals.
 </li>
 </ul>
 
 
 2. AI Implementation &amp; Orchestration
 
 
 <ul>
 <li>
 Lead the deployment of
 
 Agentic AI
 
 (autonomous agents) and
 
 RAG-based
 
 (Retrieval-Augmented Generation) knowledge systems across departments like HR, Finance, and Customer Operations.
 </li>
 <li>
 Oversee the "Build vs. Buy" evaluation for AI tools, ensuring interoperability with existing tech stacks (e.g., Azure AI, Microsoft 365 Copilot, or proprietary LLMs).
 </li>
 <li>
 Manage cross-functional "Pods" consisting of data scientists, engineers, and domain experts to deliver pilot projects within 60&ndash;90 day cycles.
 </li>
 </ul>
 
 
 3. AI Governance &amp; Ethics
 
 
 <ul>
 <li>
 Establish frameworks for
 
 Responsible AI
 
 , ensuring transparency, bias mitigation, and data privacy (GDPR/CCPA/AI Act compliance).
 </li>
 <li>
 Monitor AI performance for "model drift" and accuracy, ensuring the system remains reliable and defensible.
 </li>
 </ul>
 
 
 4. Change Management &amp; Enablement
 
 
 <ul>
 <li>
 Design and lead "AI Literacy" programs to upskill the workforce, moving beyond basic prompting to advanced AI-human collaboration.
 </li>
 <li>
 Manage organizational resistance by communicating a clear value narrative and identifying "AI Champions" within business units.
 </li>
 <li>
 Redesign workflows to capitalize on AI-human "Centaur" models, where AI handles routine processing and humans focus on high-stakes strategy and empathy.
 </li>
 </ul>
 
 
 
 
 
 Job Requirements
 
 
 
 
 
 
 
 Technical Skills &amp; Experience
 
 
 
 
 
 <ul>
 <li>
 
 Education:
 
 Bachelor&rsquo;s degree in Business, Computer Science, or Data Science. An MBA or post-graduate degree in Digital Transformation is highly preferred.
 </li>
 <li>
 
 Experience:
 
 6+ years of experience in Digital Transformation, Product Management, or Management Consulting, with at least 2&ndash;3 years focused specifically on AI/ML projects.
 </li>
 <li>
 
 AI Fluency:
 
 Deep understanding of Generative AI capabilities, LLM lifecycles, and
 
 Agentic Workflows
 
 . You don't need to be a coder, but you must be able to "speak engineer."
 </li>
 <li>
 
 Data Literacy:
 
 Proficiency in data strategy&mdash;understanding data pipelines, quality, and how "grounding" affects AI accuracy.
 </li>
 </ul>
 
 
 
 
 
 Tools &amp; Certifications (Preferred)
 
 
 
 
 
 <ul>
 <li>
 
 Certifications:
 
 Microsoft Certified: AI Transformation Leader, PMP, or similar.
 </li>
 <li>
 
 Tooling Knowledge:
 
 Familiarity with AI orchestration platforms (LangChain, Zapier Central), MLOps basics, and BI tools (Tableau, PowerBI).
 </li>
 </ul>
 
 
</div>

AI Transformation Manager

<div>Job Summary:
The AI Delivery Lead is responsible for partnering with clients to identify high-value AI &amp; GenAI use cases aligned to their business objectives, leading AI readiness; defining client roadmaps; and delivering AI products end-to-end from strategy to scaled deployment and operationalization. The incumbent serves as the main client contact and is responsible for implementing, deploying, and configuring AI technologies (e.g., LLMs, ML models) and proprietary AI products for specific client requirements. The role blends AI/GenAI solution architecture, client project management, and agile product delivery. The AI Delivery Lead coordinates with product managers to ensure accurate visibility of latest product features, alignment with roadmap, client project specific documentation, client progress reports, and communications. This position provides operational support to the product team as necessary to launch the new features and relay information to clients. The role ensures that projects are staffed with the right resources, AI initiatives delivery yields measurable results, industry and enterprise standards for security are met, and delivery is made within budget and on time.
Job Duties:
<ul><li>Serves as the trusted advisor to client executives and leaders on AI delivery and user adoption. Engages between the client and AI product managers to communicate client specific needs, relays project milestones, and aligns roadmaps
</li><li>Manages all client communication and documentation, including but not limited to project plans, timelines, schedules, and development documentation
</li><li>Leads cross-functional team and performs Scrum Master activities for Agile development on each client engagement
</li><li>Coordinates, tracks, and communicates project risks, issues, actions, and decisions
</li><li>Collaborates with project leadership to identify and address potential issues and bottlenecks
</li><li>Facilitates allocation of resources, equipment, and materials in collaboration with project managers
</li><li>Maintains accurate and up-to-date project documentation in systems of record
</li><li>Generates regular reports on project progress, milestones, and potential risks
</li><li>Enables clear and effective communication within the project team and across the organization
</li><li>Manages vendors and collaborates with team members across projects to meet deadlines and supports transition to managed services or client-owned operations through training, documentation and knowledge-transfer
</li><li>Monitors and assesses the performance of both AI and human agents to optimize or escalate an issue
</li><li>Performs AI Agent Management to include organizing, configuring, and monitoring AI agents such as setting up &quot;human-in-the-loop&quot; checkpoints for critical decisions
</li><li>Oversees the AI systems to ensure they comply with regulations (e.g., GDPR, SOC 2, financial regulations) and maintains fairness and security
</li><li>Provides additional administrative support as required
</li><li>Other duties as required
</li></ul><div>Supervisory Responsibilities:
 
<ul><li>Supervises team of engineers, developers, and analysts (including employees and contractors) to design and develop technically sound, enterprise-grade solutions
</li></ul> 
Qualifications, Knowledge, Skills and Abilities:
</div><div>Education:
 
<ul><li>High School Diploma, or equivalent, required
</li><li>Bachelor&rsquo;s degree, required; focus in Information Technology, preferred
</li></ul></div><div>Experience:
 
<ul><li>Minimum seven (7) to ten (10) years of overall experience, required
</li><li>Minimum five (5) years of experience as a client-facing Business Analyst, Project Manager, or Process Improvement specialist on AI, Advanced Analytics, or Data Science engagements, with demonstrated progression in complexity, scope, and number of projects managed, required
</li><li>Minimum two (2) years of experience in LLM-based solutions (e.g.Retrieval-Augmented Generation (RAG), Prompt engineering and evaluation, Agent-based workflows, and MLOps/LLMOps), required
</li></ul></div><div>Certifications:
 
<ul><li>Project Management Professional (PMP), required
</li><li>Certified ScrumMaster (CSM) / PMI-ACP, preferred
</li><li>Certified Senior Project Manager (IAPM) &ndash; CSPM, preferred
</li><li>Program Management Professional (PgMP), preferred
</li><li>Information Technology Infrastructure Library (ITIL), preferred
</li><li>Fundamental AI Certification (e.g. Azure AI Fundamentals AI-900 or Azure AI Engineer Associate AI-102), preferred
</li></ul></div><div>Software:
 
<ul><li>One (1) or more years of experience with major Cloud (AWS, Azure, or Google) AI/GenAI services and tools, required
</li><li>Proficient usage of video conferencing software such as Zoom or Teams, required
</li><li>Azure AI (OpenAI, AI Studio, Cognitive Services, Fabric, etc.) experience, preferred
</li></ul></div><div>Other Knowledge, Skills, &amp; Abilities:
 
<ul><li>Strong organizational and multitasking skills
</li><li>Superior attention to detail and ability to meet tight deadlines
</li><li>Ability to complete complex tasks quickly with minimal guidance
</li><li>Strong analytical skills
</li><li>Ability to design and improve client processes using AI/GenAI
</li><li>Ability to contribute to AI proposal development, client pursuits, and business development
</li><li>Ability to work effectively with minimal supervision
</li><li>Knowledge of document management best practices
</li><li>Ability to travel up to 20%
</li><li>Knowledge of industry-specific regulations and standards 
</li></ul></div>Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate&rsquo;s qualifications, experience, skills, and geography.
National Range: $150,000 - $190,000
 
Maryland Range: $150,000 - $190,000
 
NYC/Long Island/Westchester Range: $150,000 - $190,000</div>
 <div>Join us at BDO, where you will find more than a career, you&rsquo;ll find a place where your work is impactful, and you are valued for your individuality. We offer flexibility and opportunities for advancement. Our culture is centered around making meaningful connections, approaching interactions with curiosity, and being true to yourself, all while making a positive difference in the world.
At BDO, our purpose of helping people thrive every day is at the heart of everything we do. Together, we are focused on delivering exceptional and sustainable outcomes and value for our people, our clients, and our communities. BDO is proud to be an ESOP company, reflecting a culture that puts people first, by sharing financially in our growth in value with our U.S. team. BDO professionals provide assurance, tax and advisory services for a diverse range of clients across the U.S. and in over 160 countries through our global organization.
BDO is the first large accounting and advisory organization to implement an Employee Stock Ownership Plan (ESOP). A qualified retirement plan, the ESOP offers participants a stake in the firm&rsquo;s success through beneficial ownership and a unique opportunity to enhance their financial well-being. The ESOP stands as a compelling addition to our comprehensive compensation and Total Rewards benefits* offerings. The annual allocation to the ESOP is fully funded by BDO through investments in company stock and grants employees the chance to grow their wealth over time as their shares vest and grow in value with the firm&rsquo;s success, with no employee contributions.
We are committed to delivering exceptional experiences to middle market leaders by sharing insight-driven perspectives, helping companies take business as usual to better than usual. With industry knowledge and experience, a breadth and depth of resources, and unwavering commitment to quality, we pride ourselves on:
<ul><li>Welcoming diverse perspectives and understanding the experience of our professionals and clients
</li><li>Empowering team members to explore their full potential
</li><li>Our talented team who brings varying skills, knowledge and experience to proactively help our clients navigate an expanding array of complex challenges and opportunities
</li><li>Celebrating ingenuity and innovation to transform our business and help our clients transform theirs
</li><li>Focus on resilience and sustainability to positively impact our people, clients, and communities
</li><li>BDO Total Rewards that encompass so much more than traditional &ldquo;benefits.&rdquo; Click here to find out more!
</li></ul><ul><li>Benefits may be subject to eligibility requirements.
</li></ul>Equal Opportunity Employer, including disability/vets
<div><div>Click here to find out more!</div></div></div><div></div>

AI Delivery Lead, Government Services

Los Alamos National Laboratory

<div>What You Will Do 
 
This position is a unique opportunity to operate at the center of execution for the Capital Construction Project Portfolio supporting plutonium pit production facilities at Los Alamos National Laboratory (LANL). This role is critically important to the safe, secure, and efficient execution of mission-essential infrastructure programs. 
This is a unique opportunity to operate at the center of mission-critical infrastructure execution while shaping and advancing AI capabilities across a complex, multi-year portfolio of strategic programs. 
The Artificial Intelligence R&amp;D Manager will provide strategic and technical leadership for the development and deployment of Artificial Intelligence (AI) and Machine Learning (ML) solutions that enhance business systems, optimize operations, and strengthen infrastructure execution performance. The selected candidate will provide both technical AI leadership and strategic program management for a portfolio of related activities that support infrastructure modernization and operational excellence. 
 
You will: 
<ul><li>
Conduct analysis of intelligent systems and develop AI/ML models and algorithms to deliver effective business and technical solutions.</li><li>
Partner closely with application developers, product owners, integrated project teams, project managers, and senior leadership to enable AI-enhanced business applications.</li><li>
Ensure timely and successful delivery of innovative digital solutions aligned with Laboratory priorities.</li><li>
Build cross-organizational collaborations to support the plutonium pit production mission.
</li><li>Help establish and execute a long-term vision and strategic direction for AI-enabled production delivery.</li></ul> 

What You Need 
 
Minimum Job Requirements: 
 
Mission Execution &amp; Program Support 
<ul><li>
Support senior leadership in execution of AI-enabled capabilities that advance infrastructure and capital project portfolio objectives.</li><li>
Monitor and report progress against Artificial Intelligence R&amp;D objectives, including scope, technical performance, schedule, and budget.</li><li>
Contribute to budget planning, resource alignment, and strategic partnerships to ensure cost-effective and mission-aligned outcomes.</li></ul> 

AI Research, Development &amp; Deployment 
<ul><li>
Design, develop, and deploy advanced AI/ML solutions and data analytics capabilities that optimize business processes, enhance capital project execution, and improve operational performance.</li><li>
Develop and maintain Retrieval Augmented Generation (RAG) pipelines by integrating large language models (LLMs) (e.g., OpenAI, Anthropic) with enterprise document repositories and vector databases; leverage project management and operational data to support AI-enabled insights.</li><li>
Build connectors, middleware, APIs, and backend/frontend services to access, transform, and deliver real-time operational data for LLMs, analytics platforms, and user-facing applications.</li><li>
Orchestrate multiple models and tools into reliable, multi-step AI systems; build and maintain the internal infrastructure required to power, monitor, and scale these solutions.</li><li>
Implement and optimize AI-driven tools for forecasting, modeling, safety analytics, quality control, and workflow automation.</li><li>
Define, track, and communicate key performance indicators (KPIs); develop automated dashboards and visualization tools; translate complex technical data into executive-level insights while ensuring enterprise data integrity and consistency.</li><li>
Evaluate emerging AI technologies and guide secure, mission-aligned integration across enterprise systems in a high-consequence environment.</li></ul> 

Communication 
 
 
<ul><li>Consultative experience in developing and nurturing effective high-level external and internal customer relationships
</li><li>Collaborate with data engineering teams to integrate virtualized data sources into AI workflows</li></ul> 

Collaboration 
<ul><li>
Partner with application developers and stakeholders across operational areas to help identify opportunities to leverage AI tools that reduce manual workflows.</li><li>
Consultative experience in interacting effectively with all levels of external and internal personnel; building trust, gaining consensus, and resolving conflicts
</li></ul> 
Strategic Foresight 
<ul><li>
Use independent judgment to identify strategic shifts relevant to the institutional mission and position resources accordingly</li><li>
Track-record of building reliable project management AI driven data with attention to quality and detail</li></ul> 

Risk Management 
 
 
<ul><li>Identify portfolio risks, develop mitigation strategies, and recommend acceptance or avoidance actions</li><li>
Design and maintain a suite of evaluations and benchmarks to measure AI agent accuracy, reliability, and cost-effectiveness</li></ul> 

Program Oversight 
<ul><li>
Partner with project and line management to ensure performance, monitoring cost, schedule, and milestones</li></ul> 

Clearance 
 
 
<ul><li>Active U.S. DOE Q Clearance or ability to obtain a U.S. DOE Q clearance (U.S. Citizenship Required)</li></ul> 

Strategic Leadership &amp; Organizational Oversight 
<ul><li>
Assist in developing and executing the long-term strategic vision and technical roadmap aligned with Laboratory priorities and evolving national security missions.</li><li>
Implement Integrated Safety Management (ISM) responsibilities by integrating safety, security, quality, environmental stewardship, and worker health into all activities; model exemplary behavior and exercise stop-work authority when necessary.</li><li>
Ensure compliance with DOE contract requirements and Laboratory policies; recommend and implement process improvements as appropriate.</li></ul> 

Education/Experience:
 
Position requires a bachelor's degree from an accredited institution and 5 years related experience; or, an equivalent combination of education and experience directly related to the occupation. 
 
Desired Qualifications: 
<ul><li>
Advanced technical expertise in Artificial Intelligence, Machine Learning, data analytics, or digital engineering, including experience integrating AI capabilities into enterprise systems and operational environments.</li><li>
Project Management Professional (PMP) certification strongly preferred, reflecting formal training in project management best practices.
</li><li>Demonstrated experience developing or overseeing Retrieval Augmented Generation (RAG) architectures, LLM integrations, secure data pipelines, or enterprise AI infrastructure within a regulated environment.</li><li>
Proven ability to define and track key performance indicators (KPIs), develop executive-level dashboards, and translate complex technical data into strategic insights for senior leadership.</li><li>
Strong record of strategic planning, organizational development, and aligning emerging technologies with evolving institutional and national priorities.</li><li>
Advanced experience managing construction projects including proactively managing project scope, schedule and budget including use of Earned Value Management Systems (EVMS). Demonstrated successful experience identifying potential project risks, developing risk mitigation strategies and corrective actions, and recommending risk acceptance/avoidance for all aspects of a project</li><li>
Expert knowledge of regulatory requirements related to programmatic work of assigned portfolio(s)</li><li>
Experience or knowledge in management of projects (including capital line-item projects) at a Department of Energy and/or National Nuclear Security Administration Contractors' facility</li></ul> 

Work Location: The work location for this position is onsite and located in Los Alamos, NM. All work locations are at the discretion of management. 
 
Position commitment: Regular appointment employees are required to serve a period of continuous service in their current position in order to be eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the time required, they may only apply for Laboratory jobs with the documented approval of their Division Leader. The position commitment for this position is 1 year.
 
 
Note to Applicants: 
<ul><li>
For full consideration, applicants should submit a cover letter addressing how their knowledge, skills and abilities meet the minimum requirements along with a resume.</li><li>
Occasional travel may be required</li></ul>
Due to federal restrictions contained in the current National Defense Authorization Act, citizens of the People's Republic of China-including the special administrative regions of Hong Kong and Macau-as well as citizens of the Islamic Republic of Iran, the Democratic People's Republic of Korea (North Korea), and the Russian Federation, who are not Lawful Permanent Residents (&quot;green card&quot; holders) are prohibited from accessing facilities that support the mission, functions, and operations of national security laboratories and nuclear weapons production facilities, which includes Los Alamos National Laboratory.Where You Will Work 
 
Located in beautiful northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. Our generous benefits package includes: 
 
&sect; PPO or High Deductible medical insurance with the same large nationwide network 
 
&sect; Dental and vision insurance 
 
&sect; Free basic life and disability insurance 
 
&sect; Paid childbirth and parental leave 
 
&sect; Award-winning 401(k) (6% matching plus 3.5% annually) 
 
&sect; Learning opportunities and tuition assistance 
 
&sect; Flexible schedules and time off (PTO and holidays) 
 
&sect; Onsite gyms and wellness programs 
 
&sect; Extensive relocation packages (outside a 50 mile radius) 
Additional Details 
 
Directive 206.2 - Employment with Triad requires a favorable decision by NNSA indicating employee is suitable under NNSA Supplemental Directive 206.2. Please note that this requirement applies only to citizens of the United States. Foreign nationals are subject to a similar requirement under DOE Order 142.3A. 
 
Clearance: Q (Position will be cleared to this level). Selected applicants will be subject to a background investigation conducted by or on behalf of the Federal Government, and must meet eligibility requirements* for access to classified matter. This position requires a Q clearance. and obtaining such clearance requires US Citizenship except in extremely rare circumstances. Dependent upon the position, additional authorization to access classified information may be required, which may or may not be available to dual citizens. Receipt of a Q clearance and additional access authorization ultimately is a decision of the Federal Government and not of Triad. 
 
<ul><li>Eligibility requirements: To obtain a clearance, an individual must be at least 18 years of age; U.S. citizenship is required except in very limited circumstances. See DOE Order 472.2 for additional information.</li></ul> 

New-Employment Drug Test: The Laboratory requires successful applicants to complete a new-employment drug test and maintains a substance abuse policy that includes random drug testing. Although New Mexico and other states have legalized the use of marijuana, use and possession of marijuana remain illegal under federal law. A positive drug test for marijuana will result in termination of employment, even if the use was pre-offer.
 
 
Regular position: Term status Laboratory employees applying for regular-status positions are converted to regular status. 
 
Internal Applicants: Regular appointment employees who have served the required period of continuous service in their current position are eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the required period of continuous service, they may only apply for Laboratory jobs with the documented approval of their Division Leader. Please refer to Policy Policy P701 for applicant eligibility requirements. 
 
Incentive Compensation Program: Position is eligible to participate in the Triad Incentive Compensation Program. You must be in an eligible position for a minimum of 3 months, before July 1st and remain in an eligible position as of the end of the fiscal year, September 30th. The annual distribution is prorated based on the number of months in the eligible position.
 
Equal Opportunity: Los Alamos National Laboratory is an equal opportunity employer. All employment practices are based on qualification and merit, without regard to protected categories such as race, color, national origin, ancestry, religion, age, sex, gender identity, sexual orientation, marital status or spousal affiliation, physical or mental disability, medical conditions, pregnancy, status as a protected veteran, genetic information, or citizenship within the limits imposed by federal, state, and local laws and regulations. The Laboratory is also committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. To request such an accommodation, please send an email to applyhelp@lanl.gov or call (505)-664-6947.</div>

AI Engineer (R&D Manager 3)

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