ai program manager

Harvard University

<div></div><div><div><div><div><div><div>February 23, 2026
</div></div><div><div><div>002357SR</div></div></div></div></div></div></div>
 <div><div><div>Company Description 
By working at Harvard University, you join a vibrant community that advances Harvard's world-changing mission in meaningful ways, inspires innovation and collaboration, and builds skills and expertise. We are dedicated to creating a diverse and welcoming environment where everyone can thrive.
Why join Harvard Business School?
Harvard Business School, located on a 40-acre campus in Boston, was founded in 1908 as part of Harvard University. It is among the world's most trusted sources of management education and thought leadership. For more than a century, the School's faculty has combined a passion for teaching with rigorous research conducted alongside practitioners at world-leading organizations to educate leaders who make a difference in the world. Through a dynamic ecosystem of research, learning, and entrepreneurship that includes MBA, Doctoral, Executive Education, and Online programs, as well as numerous initiatives, centers, institutes, and labs, Harvard Business School fosters bold new ideas and collaborative learning networks that shape the future of business. 
Job Description 
Job Summary:
The Digital, Data, and Design (D&sup3;) Institute at Harvard is accepting applications for an AI Learning Program Manager. D&sup3; helps industry leaders re-imagine the potential of AI in business and society through cutting-edge research and experiential learning. We are seeking an experienced Program Manager to help scale the D&sup3; executive education portfolio by embedding AI-enabled workflows into curriculum development, delivery readiness, and program evaluation. This role will work closely with Faculty and the Harvard Business School Executive Education team, to scale a new AI-focused executive workshop program.
The AI Learning Program Manager will operate as a hands-on partner who (1) rapidly translates emerging D&sup3; and HBS faculty research into executive-ready curriculum assets, and (2) designs and operationalizes AI tools, automations, and agentic workflows that streamline recurring program tasks (e.g., content iteration cycles, session readiness packs, evaluation synthesis, and reporting). The role combines strong program management discipline with practical AI fluency.
Job-Specific Responsibilities:
AI-Enabled Program Optimization<ul><li>
Identify high-impact opportunities to streamline and scale executive education program workflows using AI tools, automation platforms, and agentic systems&mdash;prioritizing improvements that preserve or enhance participant and faculty experience.</li><li>
In partnership with the Agentic AI Product Manager, develop and maintain reusable &ldquo;program operating assets&rdquo; enabled by AI (templates, prompt libraries, rubric-based QA, agent instructions, workflow documentation, and governance checklists).</li><li>
Serve as a trusted advisor to program teams regarding when AI can help optimally scale program effectiveness.</li></ul><ul><li>Curriculum Development</li></ul><ul><li>
Translate D&sup3;/HBS research into executive-ready curriculum assets (session plans, frameworks, pre-work, exercises, discussion prompts, teaching notes, reinforcement content), using AI to accelerate synthesis and drafting while ensuring rigorous human review.</li><li>
Serve as a primary partner to faculty for refining session plans and program structure, balancing client needs with available expertise and crafting both templated and customized program plans.</li><li>
Coordinate faculty touchpoints for overall curricular review and refinement sessions and prepare all relevant documentation as needed.</li><li>
Run rapid iteration cycles on curriculum components in partnership with faculty and the Executive Education team, incorporating feedback signals and delivery insights into continuous improvements.</li><li>
Build and manage a content &ldquo;refresh cadence&rdquo; to keep AI and digital content current as research and industry practices evolve.</li><li>
Maintain a curriculum library for modular reuse across programs.</li></ul><ul><li>Evaluation Automation and Insight Generation</li></ul><ul><li>
Redesign and automate key components of program evaluation using AI (e.g., survey synthesis, theme extraction, sentiment and qualitative coding support, debrief summaries, action logs, and leadership reporting).</li><li>
Implement a structured evaluation approach that produces actionable insights quickly, while maintaining methodological integrity.</li><li>
Define and track KPIs tied to program outcomes and operational efficiency (e.g., time-to-insight, time-to-refresh, participant relevance and applicability ratings, content reuse rate, and delivery readiness cycle time).</li><li>
Partner with stakeholders to convert evaluation insights into prioritized improvements and measurable follow-through.</li></ul><ul><li>Delivery Partnership and Operational Excellence</li></ul><ul><li>
Partner with HBS Executive Education teams to ensure seamless delivery readiness, using AI-enabled workflows to reduce administrative burden and increase consistency (e.g., faculty prep packs, run-of-show drafts, checklists, participant communications templates).</li><li>
Anticipate operational risks and bottlenecks; design mitigations and scalable processes..</li><li>
Maintain clear documentation and &ldquo;single source of truth&rdquo; artifacts (session matrices, responsibility maps, content inventories, evaluation summaries, decision logs).</li></ul><ul><li>Governance, Quality Assurance, and Responsible AI</li></ul><ul><li>
Establish and adhere to governance protocols for AI usage in program workflows and content development, including confidentiality, data privacy, academic integrity, bias awareness, and accuracy verification.</li><li>
Implement QA processes for AI-assisted outputs (fact-checking protocols, citation/source traceability, rubric-based review, and sign-off workflows).</li><li>
Maintain clear boundaries and documentation for AI/agent behaviors (guardrails, monitoring expectations, escalation paths, and review requirements).</li></ul>
Other:<ul><li>
Build trust and collaboration by being present on-site and engaging directly with colleagues and various constituents.</li><li>
This role is responsible for other duties as assigned.</li></ul> 
Qualifications 
Basic Qualifications:<ul><li>
Bachelor&rsquo;s degree required.</li><li>
Minimum of 5 years of experience in large scale program management, executive education operations, curriculum development, learning design, or a closely related role.</li><li>
Demonstrated experience using AI tools to materially improve workflow efficiency and/or output quality (content development, synthesis, analysis, or automation).</li><li>
Strong project management and operational execution skills; ability to manage multiple concurrent workstreams and deliver under deadline.</li><li>
Excellent communication skills and stakeholder management; ability to partner effectively with faculty, program leaders, and delivery teams.</li><li>
Strong judgment and quality orientation, including comfort implementing verification and governance practices for AI-assisted work.</li></ul>
Additional Qualifications and Skills:<ul><li>
Advanced degree in a relevant field preferred.</li><li>
Experience with automation and AI concepts (e.g., workflow orchestration, tool-using agents, multi-step automations, monitoring/QA).</li><li>
Familiarity with platforms and approaches such as: LLM-based content workflows, prompt libraries, retrieval-augmented knowledge workflows, and automation tooling preferred.</li><li>
Experience designing evaluation approaches (quantitative + qualitative) and producing executive-facing insights and recommendations.</li><li>
Experience working in higher education or research-driven organizations, ideally in executive education environments.</li></ul> 
Additional Information<ul><li> 
Appointment End Date: This position is approved for a (2) year term (with possibility of 
renewal/extension) which begins on the person's first day of employment. This 2-year term limit does not apply to current Harvard employees.</li><li>
Standard Hours/Schedule: 40 hours per week</li><li>
Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this position</li><li>
Pre-Employment Screening: Identity and Education</li><li>
Other Information:
</li></ul>This is a hybrid position which we consider to be a combination of remote and onsite work at our Boston, MA based campus. HBS expects all staff to be onsite a minimum of 3 days per week and departments provide onsite coverage Monday &ndash; Friday. Specific hours and days onsite will be determined by business needs and are subject to change with appropriate advanced notice.
We may conduct candidate interviews virtually (phone and/or via Zoom) and/or in-person for this role.
A cover letter is required to be considered for this opportunity.<div></div>
Work Format Details
This position has been determined by school or unit leaders that some of the duties and responsibilities can be effectively performed at a non-Harvard location. The work schedule and location will be set by the department at its discretion and based upon operational needs. When not working at a Harvard or Harvard-designated location, employees in hybrid positions must work in a Harvard registered state in compliance with the University&rsquo;s Policy on Employment Outside of Massachusetts. Additional details will be discussed during the interview process. Certain visa types and funding sources may limit work location. Individuals must meet work location sponsorship requirements prior to employment.

Salary Grade and Ranges
This position is salary grade level 057. Please visit Harvard's Salary Ranges to view the corresponding salary range and related information.

Benefits
Harvard offers a comprehensive benefits package that is designed to support a healthy work-life balance and your physical, mental and financial wellbeing. Because here, you are what matters. Our benefits include, but are not limited to:<ul><li>
Generous paid time off including parental leave</li><li>
Medical, dental, and vision health insurance coverage starting on day one</li><li>
Retirement plans with university contributions</li><li>
Wellbeing and mental health resources</li><li>
Support for families and caregivers</li><li>
Professional development opportunities including tuition assistance and reimbursement</li><li>
Commuter benefits, discounts and campus perks</li></ul>
Learn more about these and additional benefits on our Benefits &amp; Wellbeing Page.

EEO/Non-Discrimination Commitment Statement
Harvard University is committed to equal opportunity and non-discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard's academic purposes.
Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university's non-discrimination policy. Harvard's equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.</div></div></div>

AI Learning Program Manager, Digital Data Design Institute

YO IT CONSULTING

<div><h1 class="jobSectionHeader">Job Title: AI Project Manager</h1>
Location: Mumbai, Maharashtra (Hybrid) 
Experience: 10&ndash;18 Years 
Employment Type: Full-Time 
Salary: Upto 40 LPA
<h2 class="jobSectionHeader">Role Overview</h2>
We are seeking an experienced AI Project Manager to lead the end-to-end delivery of enterprise-scale AI initiatives across manufacturing, industrial, energy, retail, and supply chain environments. The ideal candidate will manage cross-functional teams delivering advanced AI solutions, including Agentic AI systems, Generative AI applications, Computer Vision, and predictive analytics platforms.
This role requires strong leadership in Agile delivery, AI governance, cloud-native architecture, and stakeholder management, ensuring measurable business impact such as cost optimization, operational efficiency, and productivity improvement.
<h2 class="jobSectionHeader">Key Responsibilities</h2>
<ul><li>Lead end-to-end execution of AI/ML and Generative AI projects from planning to deployment.
</li><li>Define project scope, timelines, budgets, and success metrics aligned with business goals.
</li><li>Manage cross-functional teams including AI Engineers, Data Scientists, MLOps Engineers, and Developers.
</li><li>Deliver AI solutions such as predictive maintenance, intelligent automation, RAG-based applications, and workflow automation.
</li><li>Ensure adherence to Agile/Scrum methodologies, project governance, and delivery excellence.
</li><li>Oversee deployment of AI systems across cloud, enterprise platforms, and industrial environments.
</li><li>Track and report project KPIs including model performance, ROI, and operational efficiency improvements.
</li><li>Collaborate with stakeholders, leadership teams, and external vendors to ensure successful project delivery.
</li><li>Establish AI governance frameworks covering model approval, bias mitigation, explainability, and data security.
</li><li>Enable integration with enterprise systems through API-driven and event-driven architectures.
</li></ul><h2 class="jobSectionHeader">Mandatory Requirements</h2>
<ul><li>10+ years of experience in Project or Program Management.
</li><li>Minimum 5+ years managing AI/ML or Generative AI projects.
</li><li>Proven experience delivering AI solutions in manufacturing, industrial, automotive, or supply chain environments.
</li><li>Strong understanding of:
<ul><li>Generative AI (LLMs, RAG, fine-tuning)
</li><li>Agentic AI and intelligent automation
</li><li>Computer Vision and AI-based analytics
</li><li>MLOps pipelines and AI deployment lifecycle
</li></ul></li><li>Experience with cloud platforms such as AWS, Azure, or Google Cloud.
</li><li>Strong knowledge of microservices, APIs, containerization (Docker/Kubernetes).
</li><li>Experience working with cross-functional AI engineering teams.
</li><li>Excellent stakeholder management and leadership skills.
</li></ul><h2 class="jobSectionHeader">Preferred Skills</h2>
<ul><li>Experience with tools and frameworks such as LangChain, Hugging Face, n8n, Databricks, or similar AI platforms.
</li><li>Experience in industrial AI use cases such as predictive maintenance, quality inspection, or supply chain optimization.
</li><li>PMP, Agile, Scrum, or SAFe certification preferred.
</li><li>Exposure to edge AI or real-time AI deployments.
</li><li>Knowledge of AI governance, compliance, and enterprise AI frameworks.
</li></ul><h2 class="jobSectionHeader">Key Competencies</h2>
<ul><li>AI Project Delivery Leadership
</li><li>Generative AI &amp; Agentic AI Understanding
</li><li>Agile Program Management
</li><li>Cloud and Enterprise Architecture Awareness
</li><li>Stakeholder and Vendor Management
</li><li>Strategic Thinking and Problem Solving
</li></ul><h2 class="jobSectionHeader">Why Join Us?</h2>
<ul><li>Opportunity to lead cutting-edge AI and GenAI initiatives
</li><li>Work with advanced AI technologies and enterprise-scale deployments
</li><li>Be part of a growing AI Center of Excellence
</li><li>Competitive compensation and career growth opportunities</li></ul></div>

Ai Project Manager

Pearson

<div>Job Title: Advanced Specialist, Program Management
Location: Poznan or Remote, Poland
Role Qualifier: AI Portfolio Governance
Background
Pearson exists to help people make progress through learning, and AI is a powerful way for us to do that&mdash;when we use it wisely. As AI moves from scattered experiments to everyday use across our products and operations, we need to ensure our investments are focused, coordinated, and delivered responsibly. That&rsquo;s why we created the AI Center for Enablement (C4E): a company‑wide hub that brings together shared strategy, standards, reusable components, and applied research, so teams don&rsquo;t have to solve the same problems in isolation.
Within the C4E, the Strategy &amp; Governance function provides the clarity and direction that keeps our efforts aligned. We shape the enterprise AI strategy, run a unified demand‑intake process, guide prioritization through the AI Strategy Council, and track the value and impact of our investments. This work ensures that every AI initiative we support is purposeful, avoids duplication, and contributes to Pearson&rsquo;s long‑term ability to scale AI safely, ethically, and effectively.
Job Summary
Drive the strategic oversight and governance of Pearson&rsquo;s unified AI portfolio, ensuring every initiative is aligned to business goals, delivers measurable impact, and meets the highest standards of responsible AI. This advanced specialist role leads capital project management for the AI Center for Enablement, embeds robust governance controls, and champions continuous improvement. You&rsquo;ll collaborate across teams, model Pearson&rsquo;s values, and empower the organization to minimize the risk and maximize the visibility of value of our AI investments.
Key Responsibilities
<ul><li>Operationalize Responsible AI principles and governance controls, ensuring compliance with audits and regulatory requirements in partnership with the Head of Responsible AI.</li>
<li>Support implementation of NIST-aligned AI risk management practices with Cybersecurity covering both internal platforms and third-party vendors.</li>
<li>Design and test enterprise agent use cases with the Global Quality Standards team to advance agentic governance for Responsible AI.</li>
<li>Document and communicate risk tiers, assessments, and approval thresholds as defined by Data Privacy, Architecture, Cybersecurity, and Procurement.</li>
<li>Support governance audits and drive gap remediation in collaboration with the enterprise risk management function.</li>
<li>Analyze and surface systemic AI risk trends across CTO, Product, and Operations portfolios to inform leadership decisions.</li>
<li>Brief senior stakeholders&mdash;including the Head of Responsible AI, CTO, and executive leaders&mdash;on emerging AI risk patterns and governance gaps.</li>
<li>Design and deliver lightweight, defensible governance reporting, driving continuous improvement as data foundations mature.</li>
<li>Identify and automate high-value governance signals (e.g., inventory completeness, assessment coverage) for early agent adoption.</li>
<li>Integrate governance findings into standards, policies, and operating model refinements.</li>
<li>Support C4E capital project management, including financial planning, business case development, and quarterly portfolio reviews.</li>
<li>Develop and manage KPI tracking, benefits/ROI dashboards (such as AI 360), and performance reporting for all AI projects.</li>
<li>Partner with the OCTO Program Office to streamline AI reporting, intake, and review processes across teams.</li>
<li>Collaborate with Data, Innovation, and Architecture teams to align business engagement and impact reporting, leveraging emerging data foundations and agents.</li>
</ul>Required Skills and Competencies
<ul><li>Advanced analytical skills and business acumen to drive strategic decisions and deliver measurable outcomes.</li>
<li>Effective communication and stakeholder management, influencing cross-functional teams and senior leaders.</li>
<li>Expertise in portfolio planning, project management, performance measurement, and compliance.</li>
<li>Adaptability and problem-solving mindset, thriving in complex, fast-paced environments.</li>
<li>Proficiency in artificial intelligence, data literacy, governance, and change leadership.</li>
<li>Exceptional ability to influence across technical and non‑technical teams.</li>
<li>Strong storyteller with experience writing governance guidance, standards, and briefing documents for senior leaders.</li>
<li>Demonstrated ability to establish trust, promote responsible innovation, and drive culture change around AI safety and effectiveness.</li>
<li>Commitment to Pearson&rsquo;s essential behaviors: Customer Centricity, Exceptional Collaboration for Value, Raising the Performance Bar, and Our Leaders Inspire.</li>
</ul>Qualifications (Education &amp; Experience)
<ul><li>Bachelor&rsquo;s degree in business, Computer Science, Data Science/Analytics, Information Systems, Engineering, Public Policy, or a related discipline.</li>
<li>Master&rsquo;s degree (preferred but not required) in Business Administration, Data Science, Public Policy, or Technology Management with focus on AI, digital transformation, or governance. Coursework or concentration in:</li>
<li>AI/ML foundations</li>
<li>Data ethics</li>
<li>Risk management</li>
<li>Agile portfolio management</li>
<li>Professional Certifications not all required but will be considered favourably</li>
<li>AI Governance / Risk</li>
<li>NIST AI RMF certification or training</li>
<li>ISO/IEC 42001 AI Management System certification</li>
<li>Responsible AI practitioner certifications (e.g., Microsoft RA, OpenAI RA, IEEE A/IS)</li>
<li>Program &amp; Project Management</li>
<li>PMP, PgMP</li>
<li>PRINCE2 Practitioner</li>
<li>SAFe Agilist or SAFe Lean Portfolio Manager</li>
<li>PMI‑ACP or other Agile delivery certifications</li>
<li>Experience Requirements</li>
<li>5+ years in program management, portfolio governance, or enterprise PMO roles.</li>
<li>3+ years working directly with AI, machine learning, data‑driven products, or enterprise technology governance.</li>
<li>Demonstrated ability to support or lead:</li>
<li>Cross‑functional AI programs</li>
<li>Risk assessment &amp; remediation cycles</li>
<li>Executive‑level reporting and portfolio prioritization</li>
<li>Capital project financials (OpEx/CapEx), business cases, ROI modeling</li>
<li>Experience embedding Responsible AI frameworks or parallel technology governance frameworks, compliance programs, in organizations undergoing digital or AI transformation.</li>
<li>Direct experience working with:</li>
<li>Cybersecurity, Architecture, Procurement, Data Privacy, and Ethics teams</li>
<li>Enterprise risk assessment frameworks</li>
<li>Multi‑stakeholder governance bodies (e.g., steering committees, strategy councils)</li>
<li>Proven success delivering high‑impact, high‑visibility work in complex environments with competing priorities.</li>
<li>Technical &amp; Domain Competencies</li>
<li>Strong foundational understanding of:</li>
<li>Machine learning lifecycle</li>
<li>AI model risks (bias, drift, data quality, privacy)</li>
<li>MLOps/LLMOps concepts</li>
<li>AI regulatory landscape (EU AI Act, U.S. Executive Orders, NIST RMF)</li>
<li>Experience with enterprise platforms/tools for:</li>
<li>Portfolio management (e.g., Jira Align, Aha!, Clarity PPM)</li>
<li>Risk management systems</li>
<li>KPI and value‑tracking dashboards</li>
<li>Workflow orchestration or automation tools (e.g., Power Automate, ServiceNow)\#LI-MG1</li>
</ul>Who we are:
At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. We are the world's lifelong learning company. For us, learning isn't just what we do. It's who we are. To learn more: We are Pearson.
Pearson is an Equal Opportunity Employer and a member of E-Verify. Employment decisions are based on qualifications, merit and business need. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing TalentExperienceGlobalTeam@grp.pearson.com.
Job: Program Management
Job Family: ENTERPRISE
Organization: Corporate Strategy &amp; Technology
Schedule: FULL\_TIME
Workplace Type:
Req ID: 22326
\#LI-REMOTE</div>

Advanced Specialist, Program Manager

Cognizant Technology Solutions

<div></div><div>Job Summary
The Sr Manager-IPA Delivery Mgmt will oversee the delivery of innovative AI and ML solutions ensuring alignment with business objectives and enhancing operational efficiency. With a focus on program planning and dispute management the role requires expertise in data models and generative AI. The candidate will work in a hybrid model collaborating with cross-functional teams to drive impactful outcomes. 
Responsibilities
Lead end to end delivery of AI transformation programs across multiple domains.
Drive solution design and implementation leveraging Generative AI Machine Learning and Agentic AI.
Partner with clients stakeholders and internal teams to define transformation roadmaps.
Ensure on-time high-quality delivery with a focus on measurable business outcomes.
Manage and mentor cross-functional teams to foster innovation and adoption of new technologies.
Collaborate with product engineering and business teams to scale AI solutions.
Lead the delivery of AI and ML projects ensuring they meet business goals and timelines.<ul><li>
Oversee program planning activities coordinating with stakeholders to define project scope and objectives.</li><li>
Manage dispute resolution processes ensuring effective communication and resolution of issues.</li><li>
Drive the implementation of agentic AI solutions enhancing decision-making capabilities within the organization.</li><li>
Collaborate with data scientists to develop and refine data models ensuring accuracy and relevance.</li><li>
Ensure delivery management processes are efficient optimizing resource allocation and project execution.</li><li>
Facilitate cross-functional collaboration promoting knowledge sharing and innovation across teams.</li><li>
Monitor project progress providing regular updates to senior management and stakeholders.</li><li>
Implement best practices in AI and ML staying updated with industry trends and advancements.</li><li>
Evaluate project outcomes identifying areas for improvement and implementing corrective actions.</li><li>
Support the development of generative AI solutions enhancing creativity and problem-solving capabilities.</li><li>
Coordinate with IT teams to ensure technical infrastructure supports AI and ML initiatives.</li><li>
Foster a culture of continuous improvement encouraging team members to develop their skills and expertise.</li></ul> 
Qualifications<ul><li>
Possess strong expertise in program planning and delivery management with a focus on AI and ML.</li><li>
Demonstrate proficiency in dispute management ensuring effective resolution of conflicts.</li><li>
Have a deep understanding of data models and their application in AI projects.</li><li>
Exhibit knowledge of agentic AI and generative AI concepts driving innovation.</li><li>
Show experience in managing hybrid work models ensuring team productivity and engagement.</li><li>
Display excellent communication and collaboration skills working effectively with diverse teams.</li><li>
Hold a track record of successful project delivery meeting or exceeding business objectives.</li></ul> 
Certifications Required
Certified AI &amp; Machine Learning Professional Project Management Professional (PMP)</div>

Sr Manager-IPA Delivery Mgmt

eClerx

<div>Business Analyst &ndash; Agentic AI
Location: Austin, Texas
Type: Full-time
Department: Technology
Job Summary
As a Business Analyst and Program Management Consultant, you will be a key leader in our digital transformation initiatives. This role is a hybrid of strategic business analysis and tactical program oversight, with an increasing focus on the implementation of Agentic AI and LLM-driven workflows. You will be responsible for defining project scope, gathering requirements, and ensuring that a portfolio of interrelated projects&mdash;including autonomous AI agents&mdash;aligns with business objectives. Your ability to communicate effectively with both business stakeholders and technical AI teams will be critical to the success of the program.
Responsibilities
<ul><li>Strategic Business Analysis : Partner with senior business stakeholders to identify strategic problems and opportunities for Agentic AI automation. Translate these into detailed, actionable requirements for technical teams to build multi-agent systems.
</li><li>Program Management &amp; Execution : Oversee the successful delivery of a portfolio of interconnected projects, ensuring AI agent integration stays on track to achieve overall goals.
</li><li>Requirements &amp; Process Definition: Lead requirements-gathering workshops to document business processes, AI reasoning paths, user stories, and functional specifications.
</li><li>Stakeholder &amp; Communication Management : Act as the primary liaison between business, AI engineering, and analytics teams to ensure alignment on project scope and AI guardrails.
</li><li>Risk &amp; Change Management: Proactively identify program risks, including AI model drift or unintended autonomous behaviors, and develop mitigation strategies.
</li><li>Knowledge Transfer &amp; Documentation: Ensure all program knowledge, including prompt engineering logic and process flows, is documented and transferred effectively.
</li></ul>Eligibility Requirements
<ul><li>Qualifications and Experience
<ul><li>A bachelor's degree in Business, Finance, Engineering, or a related field.
</li><li>7+ years of experience in a business analyst or program management role, with exposure to AI-driven digital transformation.
</li><li>Proven ability to bridge the gap between business needs and technical AI/ML solutions.
</li><li>Experience managing the full lifecycle of complex programs, from initial AI ideation to successful implementation.
</li><li>Exceptional communication and negotiation skills to align stakeholders on AI roadmap priorities.
</li></ul></li><li>Ideal Skills &amp; Experience
<ul><li>Methodologies: Experience with Agile (Scrum, Kanban), Waterfall, and Iterative AI Development.
</li><li>Tooling: Familiarity with Jira, Confluence, and exposure to AI orchestration platforms.
</li><li>Data &amp; Analytics: Strong understanding of data concepts, vector databases, and BI tools to effectively guide AI engineering teams.
</li><li>Certifications: PMP, PMI-PBA, or CSM are a bonus; certifications in Generative AI or Machine Learning are highly desirable.
</li></ul></li></ul>In the US, the target base salary for this role is upto $180,000. Compensation is based on a range of factors that include relevant experience, knowledge, skills, other job-related qualifications, and geography. We expect the majority of candidates who are offered roles at our company to fall throughout the range based on these factors
How to Apply
<ul><li>Click &quot;Apply Now&quot; to submit your resume through our career site
</li><li>Be sure to include any relevant experience that aligns with the role.
</li><li>Qualified candidates will be contacted by a member of our recruitment team for next steps
</li></ul>About eClerx
eClerx is a leading provider of productized services, bringing together people, technology and domain expertise to amplify business results.
 
 
The firm provides business process management, automation, and analytics services to a number of Fortune 2000 enterprises, including some of the world&rsquo;s leading financial services, communications, retail, fashion, media &amp; entertainment, manufacturing, travel &amp; leisure, and technology companies. Incorporated in 2000, eClerx is traded on both the Bombay and National Stock Exchanges of India. The firm employs more than 19,000 people across Australia, Canada, France, Germany, Switzerland, Egypt. India, Italy, Netherlands, Peru, Philippines, Singapore, Thailand, the UK, and the USA.
For more information, visit www.eclerx.com
You can also find us on:
https://www.linkedin.com/company/eclerx/
https://www.indeed.com/cmp/Eclerx/about
https://www.glassdoor.com/eClerx
eClerx is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. We are also committed to protecting and safeguarding your personal data. Please find our policy here</div>

Business Analyst - Agentic AI

NTT DATA

Req ID: 359100
 
 
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. 
 
We are currently seeking a Data Program &amp; Delivery Manager to join our team in Chennai, Tamil Nādu (IN-TN), India (IN). 
 
Job Duties: The Technical Data Program &amp; Delivery Manager is responsible for end-to-end leadership of large, complex data, analytics, and AI programs, overseeing multi-disciplinary teams of 20+ professionals while serving as a trusted advisor to senior client stakeholders. This role blends program management excellence, financial and operational rigor, and deep technical thought leadership to ensure delivery of high-quality, scalable, and business-impacting data and AI solutions. 
This individual owns delivery outcomes, client satisfaction, team performance, and financial health of assigned programs, while actively shaping solution architecture and guiding clients on modern data platforms, advanced analytics, and AI/GenAI adoption. 
 
Key Responsibilities 
Program &amp; Delivery Leadership 
 
Lead and govern large-scale data, analytics, and AI programs from initiation through delivery and steady-state operations. 
Manage multiple workstreams across data engineering, analytics, platform architecture, AI/ML, and governance. 
Establish and maintain program governance, delivery cadence, risk management, and dependency tracking. 
Ensure consistent delivery excellence across Agile, hybrid, and waterfall delivery models as appropriate. 
 
Team Leadership &amp; Development 
 
Lead, mentor, and develop cross-functional teams of 20+ resources, including architects, engineers, analysts, data scientists, and program managers. 
Build high-performing teams through clear accountability, performance management, coaching, and career development. 
Partner with resource management and leadership to ensure optimal staffing, onboarding, and capacity planning. 
 
Client &amp; Stakeholder Management 
 
Act as the primary client-facing leader, managing expectations with executive and senior stakeholders. 
Translate business objectives into actionable delivery plans and technical roadmaps. 
Proactively manage risks, issues, and escalations while maintaining strong client trust and transparency. 
Facilitate executive steering committees, status reviews, and strategic planning sessions. 
 
Financial &amp; Commercial Management 
 
Own program financials, including budgeting, forecasting, revenue recognition, margin management, and cost controls. 
Track and manage burn, utilization, and scope changes to ensure financial performance aligns with targets. 
Support contract management, change requests, and commercial negotiations in partnership with sales and leadership. 
 
Technical Thought Leadership 
 
Provide hands-on technical leadership and oversight across: 
 
Modern data architectures (cloud data platforms, lakehouse, data mesh) 
Analytics and BI enablement 
AI / ML and GenAI solutions 
Data governance, quality, lineage, and security 
 
Review and guide solution designs to ensure scalability, performance, security, and alignment with industry best practices. 
Advise clients on data strategy, platform modernization, and AI adoption, including use case prioritization and value realization. 
Stay current on emerging trends and technologies in data, analytics, and AI, and apply them pragmatically to client solutions. 
 
Continuous Improvement &amp; Innovation 
 
Drive delivery excellence through standardization, accelerators, reusable assets, and best practices. 
Identify opportunities to improve delivery efficiency, solution quality, and client outcomes. 
Contribute to internal thought leadership, whitepapers, playbooks, and community forums. 
 
Minimum Skills Required: 10+ years of experience delivering enterprise-scale data, analytics, and AI programs. 
Proven experience leading large delivery teams (20+ resources) across multiple disciplines. 
Strong background in technical program or delivery management within complex environments. 
Demonstrated experience managing program financials, budgets, and commercial performance. 
Deep understanding of modern data architectures, analytics platforms, and AI/ML concepts. 
Strong client-facing skills with experience engaging director, VP, and executive-level stakeholders. 
Excellent c 
 
About NTT DATA 
 
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&amp;D. 
 
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us. 
 
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

Data Program & Delivery Manager

Google

<div><h3 class="jobSectionHeader">Minimum qualifications:</h3><ul>
<li>Bachelor's degree in a relevant field, or equivalent practical experience.</li>
<li>10 years of infrastructure work experience.
 
</li><li>10 years of experience in program management.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>10 years of experience managing complex cross-functional or cross-team projects.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
A problem isn&rsquo;t truly solved until it&rsquo;s solved for all. That&rsquo;s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you&rsquo;ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You&rsquo;ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.
The AI and Infrastructure team is redefining what&rsquo;s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
The US base salary range for this full-time position is $227,000-$320,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Be a highly credible thought leader within Google and industry on the subject matter domain of the respective organization. 
</li>
<li>Establish a reliable and visible cadence for portfolio reviews, decision making, prioritization, and resource management, whereby improvements are measurable and the impact can be felt organization wide. 
</li>
<li>Drive measurable program performance gains correlated to execution velocity. 
</li>
<li>Be a change advocate responsible for initiating and leading multiple organizations through pivots needed to address shifts in business trends and priorities. 
</li>
<li>Lead strategic planning framework for a complex program portfolio including direct influence over resourcing decisions, planning cadence, and planning stakeholders. 
</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Senior Technical Program Manager II, Infrastructure, Google Cloud

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