Senior Engineering Manager

Department/Project Description:

A unified, AI-driven market intelligence platform that aggregates internal and external data to deliver real‑time insights across strategic, segment, account, and BU levels, seamlessly interfacing with existing systems to support decision-making.

Job Description:

We are seeking a Senior Engineering Manager to lead the engineering execution and technical governance of the AI-driven market intelligence platform — a unified data and analytics environment that integrates internal and external data sources to deliver actionable insights across strategic, segment, and business unit levels.

The ideal candidate is a senior technical leader with proven experience in managing cross-functional engineering teams (backend, frontend, data, DevOps, and ML), driving platform-level architecture decisions, and ensuring technical alignment across multiple stakeholders (including vendors, partners).

This role combines technical leadership, delivery management, and business alignment — balancing strategic direction, engineering excellence, and predictable delivery in a highly dynamic multi-vendor environment.

Required Skills and Qualifications:

• 10+ years of professional experience in software engineering, including 5+ years in technical or delivery management roles.
• Experience working within the outsourcing companies is a must
• Proven experience managing large-scale AI / Data / Cloud platform programs involving multiple cross-functional teams.
• Proven experience working with AI platforms/products. 
• Strong understanding of modern SDLC methodologies (Agile, CI/CD, DevSecOps) and distributed system design principles.
• Hands-on experience with AWS cloud architecture, containerization (ECS/Fargate, EKS, Lambda), and API gateway-based microservice ecosystems.
• Demonstrated experience in multi-vendor program governance, including delivery coordination, RACI ownership, and risk management.
• Deep understanding of data pipelines, ingestion frameworks, and AI/ML integration concepts.
• Excellent communication and stakeholder management skills; able to interface effectively with both engineering and executive audiences.
• Strong analytical, problem-solving, and conflict-resolution abilities in complex delivery environments.

Preferred Qualifications:

• Background in Market Intelligence, Data Analytics, or AI-driven platforms
• Familiarity with AWS Bedrock, or enterprise data ecosystems.
• Experience in cross-organization alignment (client–vendor–partner triangle).
• PMP, CSM, or SAFe certifications are a plus.
• Experience in managing globally distributed teams.

Job Responsibilities:

• Project Leadership & Delivery Excellence: Drive the execution of the product roadmap, ensuring timely and high-quality delivery across multiple workstreams (data ingestion, backend, frontend, ML integration, UX). Establish strong coordination with Product, Architecture, and DevOps leads.
• Technical Governance: Define and maintain engineering standards, architecture guidelines, and code quality practices. Collaborate with architects to ensure scalability, security, and compliance with policies and guardrails.
• Cross-Team Alignment: Manage dependencies across internal and external teams. Lead coordination of milestones, risks, and change management to maintain synchronization across all partners.
• Stakeholder Management: Serve as a senior engineering counterpart for client stakeholders, ensuring transparency, accountability, and clear communication on progress, blockers, and technical decisions.
• Resource & Capacity Planning: Own capacity planning and workload distribution across engineering domains. Anticipate resource constraints, propose mitigation plans, and support staffing decisions.
• Quality & Risk Management: Monitor engineering performance through metrics and KPIs. Identify risks early, ensure mitigation steps are tracked, and maintain quality assurance across all deliverables.
• Innovation & Continuous Improvement: Promote automation, reusable components, and AI-assisted engineering practices. Encourage continuous improvement through lessons learned and engineering retrospectives.
• Team Leadership & Mentorship: Build and nurture a strong engineering culture. Provide mentorship to technical leads and senior engineers, fostering growth, ownership, and accountability.