Data-Driven Technical Delivery Lead

Technopals Pte.; Carlisle; On-site; GBP 65,000 - 90,000; Full time

Job summary

Technopals Pte.Ltd. is seeking an experienced project professional to coordinate technical solutions and translate business requirements into data initiatives aligned with the bank's strategic objectives.

You will act as the primary contact for stakeholders and drive progress updates. The role involves risk identification and mitigation, resource allocation, and leading enterprise-scale Data Lake and Data Warehouse initiatives, collaborating with business stakeholders to convert requirements

Qualifications

• Coordinate with technical teams to translate business requirements into technical solutions.
• Act as point of contact for stakeholders, providing regular updates on progress.
• Identify and mitigate project risks and issues; develop contingency plans.
• Allocate resources and manage workloads to support project activities.
• Demonstrated strong experience across enterprise-scale Data Lake and Data Warehouse initiatives.
• Collaborate with business stakeholders to translate requirements into actionable plans.

Responsibilities

• Coordinate with technical teams to translate business requirements into technical solutions.
• Act as point of contact for stakeholders, providing regular updates on project progress.
• Risk management: identify and mitigate project risks and issues, developing contingency plans.
• Resource allocation: allocate resources to support project activities, including assigning tasks and managing workloads.
• Collaborate with business stakeholders to gather and analyse requirements, translating them into actionable project plans.

Tools

Data Lake

Data Warehouse

Job description

Technopals Pte.Ltd. is seeking an experienced project professional to coordinate technical solutions and translate business requirements into data initiatives aligned with the bank's strategic objectives.

You will act as the primary contact for stakeholders and drive progress updates. The role involves risk identification and mitigation, resource allocation, and leading enterprise-scale Data Lake and Data Warehouse initiatives, collaborating with business stakeholders to convert requirements