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Senior Delivery Lead
2 weeks ago
Innovative Solutions for Insurance and Restoration Industries
Key Responsibilities:
- Lead full delivery lifecycle for client accounts, including governance, resource planning, and risk management.
- Coordinate requirements and workflows to deliver scalable, high-quality data solutions.
- Manage sprints, retrospective meetings, and daily stand-ups.
- Coordinate across cross-functional teams and maintain strong client relationships.
- Align delivery with agile methodologies and industry standards.
- Establish Agile COE and coach team members in Agile frameworks.
- Support sales efforts through proposal development and support.
- Champion continuous improvement, KPI tracking, and team development.
Job Qualifications:
Must Have qualifications:
- At least 5 years of Previous Experience in a Scrum Master role.
- Expertise in delivering Data & Analytics, Big Data, and Business Intelligence projects with knowledge of best practices and modern solutions.
- Excellent knowledge of Scrum techniques and artefacts (such as user stories, testing, backlog refinement).
- Highly skilled, 5+ years, in Agile and other project delivery methodologies along with proven expertise in using Jira for project and issue tracking.
- Solid grasp of software development and product lifecycle methodologies like Scrum and Kanban, with the ability to scale technical solutions from the ground up.
- Minimum 5 years of experience interpreting customer business requirements to deploy Data & Analytics solutions.
- 5+ Years of experience with diverse Data & Analytics technology stacks and tools (e.g., SQL, Python, Fabric, Snowflake, Power BI, Tableau, data mining, data modeling).
- Proven expertise in delivering data-driven projects and predictive analytics use cases, with expertise in CI/CD.
- Solid understanding of data governance, compliance, privacy, and data/AI frameworks.
- Experience with advanced data visualization techniques and tools.
- Deep understanding of data security challenges and approaches.
- Strong interpersonal skills, with the ability to communicate clearly and effectively to diverse audiences.
Nice To Have:
- Expertise in integration of architecture across complex ecosystems.
- Experience in building cross-functional data capabilities from scratch.
- Proficiency in leading large-scale transformations backed by cloud and/or AI-driven innovations.
- Familiarity with up-and-coming tools and technologies in the Data & Analytics space.
- Clear track record of delivering compelling presentations to senior leadership teams and large audiences.