Agile Technical Delivery Lead
Experience
8+ Years
Location:
Hyderabad (Hybrid work model – minimum 4 days per week from the office.)
Job Summary
We are looking for an experienced
Technical Project Manager/ Agile Delivery Lead with a strong background in Agile delivery, Scrum practices, and business-oriented thinking within Data & Analytics programs. The ideal candidate should have extensive experience leading cross-functional teams, driving end-to-end agile project delivery, developing a strong functional understanding of the data products and managing stakeholders in a fast-paced environment. Experience in the
Pharma & Life Sciences domain and working with modern cloud-based data platforms like AWS, Databricks and Tableau (BI) is highly preferred.
Key Responsibilities
- Lead end-to-end delivery of multiple Agile projects while ensuring delivery commitments, quality, productivity, and adherence to timelines.
- Facilitate Scrum ceremonies including Quarterly PI planning, Sprint Planning, Daily Stand-ups, Sprint Reviews, and Retrospectives with effective use of Jira, Confluence and other project management tools.
- Ensure Epics, Features, and User Stories are well-structured, appropriately linked, and include clear acceptance criteria, dependencies, and sufficient business and technical context.
- Coach and mentor delivery teams to improve Agile maturity and delivery excellence. Drive continuous improvement initiatives across teams and delivery processes.
- Collaborate with Product Owners, Business Analysts, Architects, Engineering teams, QA, and business stakeholders to define priorities and ensure successful delivery with geographically distributed teams.
- Manage project scope with available team capacity, identify risks & dependencies and track issue resolution.
- Track project progress using Agile metrics such as velocity, sprint burndown, release burndown, cycle time, and team capacity.
- Prepare and present project status reports, dashboards, and executive updates in Monthly and Quarterly Business Reviews.
- Develop a strong functional understanding of data products and perform user-level validation of delivered features to ensure business expectations are met.
- Understand business challenges and proactively drive solution-oriented thinking throughout the delivery lifecycle.
- Leverage approved AI tools to improve delivery productivity, planning, documentation, and quality, while encouraging engineering teams to adopt AI-assisted best practices where appropriate.
- Continuously build sufficient functional and technical knowledge of the platform to participate in meaningful discussions with engineering teams, architects, and business stakeholders, rather than limiting the role to delivery coordination.
- Flexible to work in a global onsite-offshore delivery model, ensuring adequate overlap with customer time zones to support effective collaboration.
Required Qualifications- Bachelor's degree in Engineering, Computer Science, Information Technology, or a related discipline.
- 8+ years of IT experience with at least 4+ years as a Technical Project Lead, Agile Delivery Lead, or Scrum Master.
- Mandatory Scrum certification:
- Professional Scrum Master (PSM) or
- Certified ScrumMaster (CSM)
- Proven experience delivering Data & Analytics projects with a strong working understanding of technologies such as:
- AWS, Databricks
- Tableau or similar BI platforms
- ETL/Data Integration platforms
- Diagramming tools such as Lucidchart and Microsoft Visio
- Experience managing multiple Agile teams and Jira boards simultaneously.
- Excellent stakeholder management, communication, presentation, and leadership skills
Preferred Experience
- Prior hands-on experience as a Business Analyst, Data Analyst, Data Engineer, Technical Lead, or Software Engineer before transitioning into Agile Delivery is highly preferred.
- Experience presenting delivery updates, risks, and roadmap progress to senior business and technology stakeholders
- Experience with Jira, Confluence or similar Agile project management tools.
Skills: jira,aws,agile,data,scrum,analytics
