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Job Description
Delivery Lead / Program Manager - GenAI Transformation
Role Summary
We are seeking an experienced Lead / Program Manager - GenAI Transformation to drive enterprise-wide AI and GenAI initiatives by bridging business strategy, technology innovation, and execution excellence. This role will own the end-to-end lifecycle of GenAI programs, including strategy development, business engagement, use case identification, solution governance, delivery oversight, and value realization.
The ideal candidate will bring a strong combination of business acumen, program management expertise, analytics experience, and a solid understanding of Generative AI technologies. The individual will work closely with senior business leaders, data and AI teams, technology partners, and cross-functional stakeholders to accelerate AI adoption and deliver measurable business impact.
Key Accountabilities
Strategic Leadership & Business Partnership
Partner with business leaders to define and execute the GenAI transformation roadmap aligned with organizational objectives.
Identify, evaluate, and prioritize high-value GenAI opportunities across business functions.
Act as a trusted advisor to stakeholders, driving AI adoption and business process innovation.
Define success metrics, value realization frameworks, and business outcomes for AI initiatives.
Lead steering committee discussions and provide strategic recommendations to senior leadership.
Program & Portfolio Management
Manage a portfolio of AI, GenAI, analytics, and automation initiatives from ideation through deployment and scale-up.
Establish program governance, resource planning, budgeting, risk management, and delivery frameworks.
Drive cross-functional alignment across business, technology, data science, architecture, security, and operations teams.
Monitor program performance, dependencies, timelines, and stakeholder expectations to ensure successful delivery.
Develop and maintain AI implementation roadmaps, project plans, and executive status reporting.
Solution Planning & Delivery
Translate complex business requirements into scalable AI and GenAI solution strategies.
Collaborate with data scientists, AI engineers, architects, and product teams to define solution requirements covering data, models, integrations, and workflows.
Ensure solution quality through effective testing, validation, and performance measurement frameworks.
Guide Proof of Concepts (PoCs), pilot programs, and enterprise rollouts of GenAI solutions.
Drive user adoption, change management, and operationalization of AI capabilities.
Governance, Risk & Compliance
Ensure AI solutions comply with organizational policies, security standards, regulatory requirements, and responsible AI principles.
Establish governance processes for model performance monitoring, risk assessment, and compliance adherence.
Collaborate with legal, risk, security, and compliance teams to manage AI-related risks.
Capability Building & Best Practices
Develop and institutionalize GenAI delivery frameworks, reusable assets, best practices, and documentation.
Mentor project managers, business analysts, and junior team members on AI program delivery methodologies.
Stay current with emerging AI trends, tools, and industry practices to continuously improve organizational AI capabilities.
Required Qualifications
Bachelor's degree in Computer Science, Information Technology, Mathematics, Statistics, Economics, Engineering, Information Management, or related disciplines.
8-10 years of professional experience in Program Management, Project Management, Analytics, Digital Transformation, Data Science delivery, or AI-related initiatives.
Proven experience leading large-scale cross-functional programs involving analytics, automation, data platforms, or AI solutions.
Strong track record of translating business requirements into data-driven and AI-enabled solutions.
Hands-on understanding of data analytics, AI/ML, and Generative AI technologies and their business applications.
Working knowledge of Python and/or SQL for data analysis and solution discussions.
Experience with reporting and visualization platforms such as Power BI, Metabase, Tableau, or similar tools.
Demonstrated experience managing stakeholders across business and technical functions, including senior leadership.
Strong communication, executive presentation, storytelling, and problem-solving skills.
Preferred / Good-to-Have Skills
Experience leading enterprise GenAI programs, AI product implementations, or business transformation initiatives.
Familiarity with cloud AI platforms such as:
Azure OpenAI
Azure AI Services
AWS Bedrock
Google Vertex AI
Databricks AI Platform
Experience developing AI roadmaps, business cases, and value realization frameworks.
Knowledge of Responsible AI, AI Governance, Risk Management, Security, and Compliance frameworks.
Exposure to Agile, Scrum, SAFe, or hybrid project delivery methodologies.
Certification(s) in Project Management (PMP, PRINCE2), Agile, Product Management, or Cloud Platforms are advantageous.
Experience managing vendors, consulting partners, and external technology stakeholders.
Behavioral Competencies
Strategic thinker with strong business and technology integration capabilities.
Strong leadership presence with the ability to influence executive stakeholders and drive organizational change.
Highly proactive, accountable, and outcome-oriented.
Excellent stakeholder management, negotiation, and relationship-building skills.
Collaborative leadership style with experience managing cross-functional and distributed teams.
Adaptable and comfortable operating in evolving and ambiguous environments.
Passionate about innovation and leveraging AI to solve complex business challenges.
Strong ownership mindset with a focus on delivering measurable business value.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
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Skills Required
- Bachelor's degree in Computer Science, Information Technology, Mathematics, Statistics, Economics, Engineering, Information Management, or a related discipline
- 8-10 years of professional experience in program management, project management, analytics, digital transformation, data science delivery, or AI-related initiatives
- Experience leading large-scale cross-functional programs involving analytics, automation, data platforms, or AI solutions
- Experience translating business requirements into data-driven and AI-enabled solutions
- Working understanding of data analytics, AI/ML, and Generative AI technologies and business applications
- Working knowledge of Python and/or SQL for data analysis and solution discussions
- Experience with reporting and visualization platforms such as Power BI, Metabase, Tableau, or similar tools
- Experience managing stakeholders across business and technical functions, including senior leadership
- Strong communication, executive presentation, storytelling, and problem-solving skills
- Experience leading enterprise GenAI programs, AI product implementations, or business transformation initiatives
- Familiarity with Azure OpenAI, Azure AI Services, AWS Bedrock, Google Vertex AI, or Databricks AI Platform
- Experience developing AI roadmaps, business cases, and value realization frameworks
- Knowledge of Responsible AI, AI governance, risk management, security, and compliance frameworks
- Exposure to Agile, Scrum, SAFe, or hybrid project delivery methodologies
- Project management, Agile, product management, or cloud platform certification such as PMP or PRINCE2
- Experience managing vendors, consulting partners, and external technology stakeholders
Fractal Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fractal and has not been reviewed or approved by Fractal.
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Healthcare Strength — Health coverage includes medical, dental, and vision along with tax‑advantaged accounts and EAP in the U.S., indicating a broad core package. Feedback suggests core protections exist across regions, though specifics can vary by location.
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Leave & Time Off Breadth — Time‑off programs include generous PTO, paid holidays and sick time, paid volunteer time, and sabbaticals in some areas. Some accounts also describe manager‑approved or flexible PTO approaches alongside hybrid/WFH latitude.
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Flexible Benefits — Work arrangements commonly include remote/hybrid options and flexible schedules. Flexibility is frequently highlighted as part of the overall value proposition.
Fractal Insights
What We Do
Fractal is one of the most prominent players in the Artificial Intelligence space. Fractal's mission is to power every human decision in the enterprise and brings AI, engineering, and design to help the world's most admired Fortune 500® companies. Fractal's products include Qure.ai to assist radiologists in making better diagnostic decisions, Crux Intelligence to assists CEOs, and senior executives make better tactical and strategic decisions, Theremin.ai to improve investment decisions, and Eugenie.ai to find anomalies in high-velocity data & Samya.ai to drive next-generation Enterprise Revenue Growth Management. Fractal has more than 3,000 employees across 16 global locations, including the United States, UK, Ukraine, India, Singapore, and Australia. Fractal has consistently been rated as India's best companies to work for, by The Great Place to Work® Institute, featured as a leader in Customer Analytics Service Providers Wave™ 2021, Computer Vision Consultancies Wave™ 2020 & Specialized Insights Service Providers Wave™ 2020 by Forrester Research, and recognized as an "Honorable Vendor" in 2021 Magic Quadrant™ for data & analytics by Gartner.






