Manager - Data Platform Engineering [T500-28076]

ANSR

Bengaluru

On-site

INR 3,000,000 - 6,000,000

Full time

10 days ago

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Job summary

ANSR MedTech Capability Center in Bengaluru seeks an experienced Software Engineering Manager – Data Cloud to lead a cloud-native engineering team and drive end-to-end delivery. You will partner with Development Leads on technical design, architecture, and delivery quality to scale healthcare platforms.

The role emphasizes execution, leadership, and alignment with enterprise architecture, with focus on AI-aware practices and regulatory compliance in a global US+India delivery model.

Qualifications

  • Bachelor’s degree in Computer Science or related field.
  • 10+ years software engineering experience.
  • 5+ years managing engineering teams.
  • Strong leadership and communication skills.
  • Experience working in global (US + India) delivery models.

Responsibilities

  • Own end-to-end delivery of team commitments (scope, schedule, quality).
  • Drive predictable execution through strong sprint planning, backlog management, and risk mitigation.
  • Track and improve delivery metrics (predictability, cycle time, defect rates, stability).
  • Lead and manage engineering team; set expectations and ensure accountability.
  • Coach engineers on cloud, data, AI-aware practices, and software quality.
  • Ensure alignment with architecture defined by Enterprise Architecture and Development Leads.
  • Support adoption of AI-driven development practices (AI-DLC).
  • Maintain working knowledge of AI systems, Bedrock, and MCP-based integrations.
  • Own production readiness, system stability, and incident response.
  • Ensure compliance with FDA, HIPAA, and internal quality standards.

Skills

Leadership
Communication
Team management

Education

Bachelor's degree in Computer Science or related field

Job description

ANSR MedTech Capability Center is a new global innovation hub being established in India for a Fortune 100 Fastest-Growing Company in the MedTech sector. Built in partnership with ANSR, the center draws on ANSR’s proven experience in establishing and scaling high-performance Global Capability Centers (GCCs) for leading global enterprises.

ANSR MedTech center brings together world-class engineering, product, and technology talent to build next-generation healthcare platforms and solutions that power global operations.

Software Engineering Manager – Data Cloud (India ICC)
Role Overview:

As the Software Engineering Manager – Data Cloud, you are responsible for delivery execution, team performance, and operational excellence for a cloud-native engineering team. You will partner closely with Development Leads who drive technical design and architecture, ensuring solutions are delivered on time, at high quality, and at scale. This role requires strong understanding of cloud, data, and AI concepts, with primary focus on execution, team leadership, and delivery outcomes.

Key Responsibilities:
  • Own end-to-end delivery of team commitments (scope, schedule, quality)
  • Drive predictable execution through strong sprint planning, backlog management, and risk mitigation
  • Track and improve delivery metrics (predictability, cycle time, defect rates, stability)
  • Lead and manage engineering team; set expectations and ensure accountability
  • Coach engineers on cloud, data, AI-aware practices, and software quality
  • Ensure alignment with architecture defined by Enterprise Architecture and Development Leads
  • Support adoption of AI-driven development practices (AI-DLC)
  • Maintain working knowledge of AI systems, Bedrock, and MCP-based integrations
  • Own production readiness, system stability, and incident response
  • Ensure compliance with FDA, HIPAA, and internal quality standards
Technical & Domain Expectations:
  • Strong understanding of cloud-native architectures (AWS)
  • Experience with microservices, APIs, and distributed systems
  • Familiarity with streaming systems (Kafka or equivalent)
  • Working knowledge of AI platforms (e.g., AWS Bedrock) and agent-based patterns
  • Understanding of data quality requirements for AI-driven systems
  • Familiarity with enterprise integration platforms (e.g., MuleSoft, MCP patterns)
Qualifications:
  • Bachelor’s degree in Computer Science or related field
  • 10+ years software engineering experience
  • 5+ years managing engineering teams
  • Strong leadership and communication skills
  • Experience working in global (US + India) delivery models
Leadership Profile:
  • Execution-focused leader who drives predictable delivery
  • Builds accountable, high-performing teams
  • Partners effectively with technical leadership
  • Balances speed, quality, and reliability
  • Enables adoption of modern engineering and AI practices
Success Criteria:
  • Consistent on-time, high-quality delivery
  • Improved delivery metrics and system stability
  • Strong partnership with Senior Staff Engineers
  • Effective adoption of AI-enabled development practices
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