Job Objective:
Lead the planning and end-to-end delivery of customer's platform initiatives by translating business requirements into effective technical solutions. Drive stakeholder engagement, risk management, and resource optimization to ensure timely and high-quality delivery of enterprise data lake and data warehouse solutions
Responsibilities:
- The Technical Delivery Manager will be responsible for planning and execution of rollout projects for EDAG Re-platform due to Hardware and software got obsoleted.
- Requirements Analysis: Collaborate with business stakeholders to gather and analyse requirements, translating them into actionable project plans.
- Technical Solution Delivery: Coordinate with technical teams to translate business requirements into technical solutions, ensuring alignment with the bank's strategic objectives.
- Stakeholder Engagement: Act as point of contact for stakeholders, providing regular updates on project progress, addressing concerns, and managing expectations effectively.
- Risk Management: Identify and mitigate project risks and issues proactively, developing contingency plans as necessary to minimize disruptions to project timelines and deliverables.
- Resource Allocation: Allocate resources effectively to support project activities, including assigning tasks, managing workloads, and optimizing team productivity.
Requirements:
- Technical Solution Delivery: Coordinate with technical teams to translate business requirements into technical solutions, ensuring alignment with the bank's strategic objectives.
- Stakeholder Engagement: Act as point of contact for stakeholders, providing regular updates on project progress, addressing concerns, and managing expectations effectively.
- Risk Management: Identify and mitigate project risks and issues proactively, developing contingency plans as necessary to minimize disruptions to project timelines and deliverables.
- Resource Allocation: Allocate resources effectively to support project activities, including assigning tasks, managing workloads, and optimizing team productivity.
- Demonstrated strong understanding and extensive hands-on experience across multiple enterprise-scale Data Lake and Data Warehouse initiatives.
- Collaborate with business stakeholders to gather and analyse requirements, translating them into actionable project plans.
