AI Delivery Lead
Bangalore, Karnataka, India
Pearson
Discover all Pearson has to offer for every step of your learning journey.Key Responsibilities
- Project Leadership:
- Manage automation and AI project lifecycle from requirements gathering to deployment and post-launch support.
- Develop project plans, define milestones, allocate resources, and track progress against OKRs.
- Technical Delivery Management:
- Collaborate with architects, developers, business analysts, and AI/ML engineers to deliver solutions on platforms like UiPath, Microsoft Power Platform, and AI frameworks.
- Guide the technical scoping, design, and integration efforts for process automation, document intelligence, agentic AI bots, and decisioning workflows.
- Stakeholder Engagement:
- Act as the primary point of contact for business units, IT, and leadership teams.
- Translate business needs into technical deliverables, ensuring alignment on priorities, risks, and benefits.
- Quality & Risk Management:
- Implement governance, testing, and deployment best practices to ensure reliable, compliant automation outcomes.
- Proactively manage risks, dependencies, and change control.
- Innovation and Continuous Improvement:
- Stay current with automation, AI, and agentic AI trends.
- Champion reusability, scalability, and best practices within the COE.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
- 7+ years of experience managing technical projects, preferably in automation, RPA, AI/ML, or digital transformation.
- Hands-on exposure to UiPath, Microsoft Power Automate/Power Apps, or equivalent automation platforms.
- Understanding of AI concepts like NLP, document understanding, LLMs, and agentic frameworks is a strong plus.
- Proven ability to manage multiple initiatives simultaneously in a matrixed organization.
- Strong analytical, communication, and stakeholder management skills.
- Agile certification (e.g., SAFe, Scrum Master) is desirable.
Preferred Attributes:
- Experience working in a COE or Center of Excellence model.
- Familiarity with cloud environments (Azure, AWS) and API integrations.
- A mindset for continuous learning, collaboration, and value-driven delivery.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Categories:
Deep Learning Jobs
Leadership Jobs
Tags: Agile APIs AWS Azure Computer Science Engineering LLMs Machine Learning NLP OKR Robotics RPA Scrum Testing
Perks/benefits: Career development
Region:
Asia/Pacific
Country:
India
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