ANSR
Website:
ansr.com
Job details:
ANSR is hiring for one of its clients.
About ANSR MedTech:
Who We Are:
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.
Manager – Data Platform Engineering
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
- Experience delivering high-scale cloud applications
- 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.
Click on Apply to know more.
