Senior Technical Program Manager - AI Solution Delivery

Nexsales Solutions Private LtdMumbai

11 days ago

Job description

Description :

Role : Senior Technical Program Manager AI-Powered B2B Marketing Solutions

Role Overview :

Senior Technical Program Manager AI-Powered B2B Marketing Solutions is a critical, full-time, on-site leadership position based in Mumbai (Andheri), focused on the successful delivery and deployment of advanced Artificial Intelligence (AI) driven marketing platforms.

This role combines senior-level project management rigor with a strong understanding of modern cloud-native architecture and AI / ML pipelines, requiring the incumbent to lead cross-functional delivery teams and manage high-stakes client relationships.

Accountability is centered on ensuring that complex software projects meet agreed-upon timelines, budget constraints, quality metrics, and ultimately, drive quantifiable business value for B2B clients.

Leadership Responsibilities and Project Delivery :

End-to-End Project Ownership : Lead and manage the entire lifecycle of AI-powered solution delivery, from client requirements definition and scope finalization through development, UAT, and production deployment, strictly adhering to project deadlines and budget limitations.
Client Relationship and Stakeholder Management : Serve as the primary point of contact for client leadership, facilitating requirements gathering workshops, aligning on product scope and priorities, communicating project status, and professionally handling feedback and escalations.
Team Leadership and Mentorship : Manage and mentor cross-functional delivery teams (including engineers, data scientists, and QA), providing agile coaching, ensuring strong individual performance, clear communication channels, and fostering a culture of high accountability and execution quality.
Risk and Blockage Management : Proactively identify, analyze, and mitigate project risks (e.g., scope creep, resource constraints, system dependencies) and aggressively remove impediments / blockers to maintain team velocity and keep the delivery pipeline on track.
Agile Governance : Champion the effective implementation of Agile / Scrum methodologies, overseeing sprint planning, backlog grooming, daily stand-ups, and sprint reviews to optimize workflow, manage commitments, and ensure continuous iterative delivery.
Process Improvement and Reporting : Continuously review and optimize delivery processes and tooling for efficiency gains. Provide key insights and performance metrics (KPIs) on project health, team velocity, and client engagement to executive leadership.
Internal Coordination and Alignment : Work closely with the Engineering Team on architectural decisions, the Product Team on feature prioritization and roadmap, and the Customer Success Team on smooth solution handovers and post-launch support.

Required Experience and Skills :

Delivery and Project Management Experience : Proven track record (5+ years) as a Delivery Lead, Delivery Manager, or Senior Project Manager specifically managing software development projects in a technology-driven environment.

Project Management Frameworks : Solid, hands-on understanding and experience with Agile / Scrum project management methodologies and tools (e.g., Jira, Azure DevOps).

Communication and Client Management : Excellent communication, negotiation, and presentation skills for effective stakeholder management, managing client expectations, and translating business needs into actionable technical goals.

Leadership and Mentorship : Demonstrated leadership abilities in guiding, motivating, and performance-managing highly skilled cross-functional teams.

Quality and Scope Management : Proven ability to define and enforce quality gates, manage scope integrity, and handle multiple complex projects concurrently without compromising output quality.

Preferred Skills (Strong Technical Background) :

Cloud Architecture : Strong foundational understanding of AWS services (e.g., S3, EC2, Lambda, EKS) and principles of cloud-native deployment.

AI / ML / Data Pipelines : Familiarity with the concepts of AI / Machine Learning (ML) models, data feature engineering, and MLOps pipelines relevant to B2B applications (e.g., lead scoring, personalization).

Back-End Expertise : Exposure to development frameworks like Node.js and distributed system architectures, particularly Microservices.

Modern Database : Understanding of non-relational database technologies such as MongoDB or other NoSQL variants.

Containerization and Orchestration : Experience with container technologies like Docker and orchestration tools like Kubernetes (K8s).

Front-End Frameworks : Knowledge of modern JavaScript frameworks like React.js and Next.js (for server-side rendered applications)

(ref : hirist.tech)

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