Technical Program Manager

4 weeks ago

Bengaluru, Karnataka, India Birlasoft Full time
Technical Program Manager – AI, Automation & Data ScienceRole Overview:This is

highly experienced Technical Program Manager role

to lead a cutting-edge AI-driven product development initiative for a strategic customer. This role demands a

deep understanding of AI, automation, data science, and machine learning , combined with

strong product development program management expertise . The successful candidate will oversee

cross-functional engineering teams , drive

end-to-end execution , and align

technical roadmaps with business goals

while ensuring high-impact delivery in a dynamic, fast-paced AI ecosystem.This is a

high-impact leadership role

for someone passionate about

AI, automation, and enterprise-scale AI adoption . If you thrive in

AI-first product environments and love solving complex problems with intelligent automation , this role is for you

Key Responsibilities:1. Program Strategy & Roadmap Execution:Define and execute the

end-to-end program roadmap

for AI-driven product development, ensuring alignment with customer goals and business impact.Collaborate with

AI scientists, ML engineers, data engineers, and software architects

to drive feature development and continuous improvements.Establish

scalable program frameworks

to manage milestones, risk assessment, and stakeholder expectations.Foster an agile, iterative development approach to accelerate

AI and GenAI adoption .2. AI & Automation Product Development Leadership:Guide the team in leveraging

LLMs, AutoGen, agentic AI frameworks, and cutting-edge AI tools

to build intelligent, automated solutions.Oversee the

full AI model lifecycle , including data acquisition, training, fine-tuning, deployment, and performance monitoring.Ensure seamless integration of AI-driven automation across

cloud, hybrid, and multi-cloud environments .Partner with engineering to define

scalability, reliability, and security best practices

for AI-based platforms.3. Cross-Functional Team Coordination & Execution:Drive collaboration across

data science, machine learning, DevOps, and platform engineering teams

to ensure synchronized execution.Facilitate effective communication between

engineering, product, and business stakeholders .Implement best practices for

AI product lifecycle management, MLOps, and CI/CD pipelines .Develop

clear technical documentation

and ensure knowledge-sharing among teams.4. Process Optimization & Innovation:Utilize

Process Mining, RPA, and Intelligent Automation

to enhance operational efficiency and streamline workflows.Establish best practices for

agentic AI-powered process automation and intelligent task orchestration .Identify and drive

AI-based insights

for

decision-making, forecasting, and business intelligence .Optimize resource allocation through

AI-driven predictive analytics .5. Risk Management & Compliance:Ensure AI models and automation frameworks adhere to

ethical AI principles, regulatory requirements, and data privacy standards .Proactively identify and mitigate

risks in AI deployments, data pipelines, and automation workflows .Develop contingency plans to address

scalability and performance challenges .Required Skills & Experience:Technical Expertise:10+ years of experience in technical program management , with

at least 5 years in AI, data science, or machine learning-driven product development .Deep understanding of

LLMs, Generative AI, AutoGen, CrewAI, WrenAI, and agent-based AI frameworks .Strong knowledge of

MLOps, AI/ML pipeline orchestration, and cloud-based AI architectures

(Azure, AWS, GCP).Hands-on experience with

AI model deployment, fine-tuning, and AI-powered automation tools .Expertise in

Process Automation, RPA, and AI-driven process mining techniques .Knowledge of

vector databases, AI search technologies, and intelligent data processing frameworks .Familiarity with

Python, TensorFlow, PyTorch, LangChain, AutoML, and AI search indexing .Program Management & Leadership:Proven track record of

managing AI-driven product development initiatives

in highly technical environments.Strong background in

agile methodologies, sprint planning, and iterative development models .Ability to drive

cross-functional collaboration

between AI research, data engineering, and platform teams.Exceptional

stakeholder management skills

with the ability to communicate technical concepts to non-technical executives.Deep experience in

scaling AI solutions across enterprise ecosystems .Soft Skills & Mindset:Visionary leadership with a passion for

emerging AI trends, automation, and digital transformation .Strong problem-solving skills with the ability to drive

high-impact AI solutions .Excellent communication skills, capable of influencing

engineering teams, data scientists, and business leaders .Ability to

navigate ambiguity and drive AI innovation

in a fast-paced environment.Must haves:Experience in program managing

building AI-powered enterprise platforms and automation systems .Knowledge of

Responsible AI principles, model interpretability, and AI governance frameworks .Strong business acumen with the ability to

bridge AI innovation with tangible business outcomes .DevSecOps and AGILE Expertise with product management environments

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