Senior Data Services Project Manager (Hybrid 12-month renewable contract role) - (DS3881NK)

Work Type: Hybrid - 3 days at the office

Are you a dynamic and seasoned project manager with a passion for data-driven initiatives? Do you thrive in complex, fast-paced environments where your expertise can make a tangible impact? If so, we want you to lead our cutting-edge projects and help us shape the future of data services.

Our client in the Financial Services sector is currently looking for a Senior Data Services Project Manager for a 12-month renewable contract role.

Key Responsibilities:

• Lead Complex Programs: Manage large-scale, enterprise-level projects from inception to completion, ensuring all deliverables are met on time and within budget.
• Drive Data-Related Initiatives: Spearhead projects involving data integration, transformation, and analytics, utilizing your deep understanding of enterprise-level data services.
• Leverage Advanced Technologies: Utilize cutting-edge tools and platforms such as Abinitio, Denodo, IBM IIBR, Microsoft Azure, and Amazon Web Services to deliver robust and scalable solutions.
• Innovate with AI and Hyper Automation: Implement and manage projects that focus on Artificial Intelligence (AI) and Hyper Automation, driving efficiency and innovation across the organization.
• Collaborate and Lead: Work closely with cross-functional teams, stakeholders, and clients, providing leadership and fostering a culture of excellence and continuous improvement.

Requirements:

• Relevant degree or diploma and certifications.
• Project Management Professional (PMP) certification or equivalent is preferred.
• Must have at least 8-10 years experience at senior level managing larger and/or complex programmes.
• Proven experience as a Project Manager, managing data related at the enterprise level projects within the banking sector.
• Demonstrated experience in managing project budgets, timelines, and resources effectively.
• Experience with technologies such as Abinitio, Denodo, IBM IIBR, Microsoft Azure and Amazon Web Services.
• Experience with projects focused on Artificial Intelligence (AI) and Hyper Automation would also be beneficial.