Jaipur, Rajasthan, India
Information Technology
Full-Time
ConcertAI
Overview
Job Requirements
Key Responsibilities
Agile Delivery Leadership
Required Qualifications
Key Responsibilities
Agile Delivery Leadership
- Champion Scrum, Kanban, and SAFe principles while adapting them to suit product maturity and regulatory requirements.
- Facilitate sprint planning, backlog refinement, daily stand-ups, sprint reviews, and retrospectives with technical and business stakeholders.
- Drive incremental delivery and ensure teams deliver working, high-quality software on predictable timelines.
- Remove delivery blockers proactively, from technical dependencies to cross-team alignment issues.
- Understand system architecture, AI model lifecycle, MLOps pipelines, and data flows to better facilitate technical discussions.
- Collaborate with Tech Leads, Data Scientists, ML Engineers, and DevOps teams to ensure sprint commitments are technically achievable.
- Track code quality, automated test coverage, CI/CD health, and cloud infrastructure readiness as part of delivery metrics.
- Ensure data privacy, security, and regulatory compliance are integrated into delivery workflows.
- Partner with Product Owners, Clinical SMEs, Data Science, Data Engineering and Customer Success to ensure backlog priorities align with business outcomes and value driven
- Balance innovation speed with healthcare/pharma compliance requirements (HIPAA, GDPR, FDA, GxP).
- Ensure transparent and regular communication of progress, risks, and dependencies to leadership and stakeholders.
- Establish and monitor KPIs such as sprint predictability, sprint metrics such as burn rate, lead time, defect leakage, and deployment frequency.
- Drive retrospective outcomes into actionable improvements for team efficiency and product quality.
- Introduce process automation, backlog grooming discipline, and release readiness checklists to optimize delivery.
Required Qualifications
- 8+ years in software delivery roles, with 5+ years as a Scrum Master or Agile Delivery Lead.
- Proven track record in SaaS product delivery, preferably with AI/ML-powered platforms.
- Strong technical foundation in cloud-native architectures (AWS/Azure/GCP), APIs, microservices, and data engineering workflows.
- Excellent servant-leadership, facilitation, and conflict resolution skills
- Proactive thinker with ability to influence stakeholder based on business objectives and value delivery
- Strong analytical ability to interpret technical and business metrics for decision-making.
- Familiarity with generative AI, NLP, and predictive analytics in healthcare contexts.
- Familiarity with ML model development, MLOps tools (MLflow, Kubeflow, SageMaker, Vertex AI), and data governance
- Experience in healthcare and/or pharma software, with strong understanding of EHR/EMR health records and HIPAA, GDPR, GxP, and FDA 21 CFR Part 11 compliance.
- Understanding of clinical trial systems and/or RWE (Real World Evidence) platforms, or drug discovery pipelines.
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