Skills & Talents:

• Technical background in data engineering;
• 5+ years of experience managing large-scale data or analytics projects, including outsourced or vendor-led work;
• Proven track record of delivering complex projects on time and within budget;
• Strong leadership skills and experience managing cross-functional teams;
• Excellent communication and negotiation skills;
• Experience working with senior stakeholders and clients;
• Solid understanding of data management, analytics, or data engineering;
• Highly organized, proactive, and able to juggle multiple priorities;
• Ability to thrive in a fast-paced, evolving delivery environment.

NICE TO HAVE:

• Degree in Computer Science, Engineering, or related field;
• Experience with project management tools (Jira, Asana, MS Project, etc.);
• PMP, PRINCE2, or similar project management certification.

Key responsibilities:

• Lead and manage several outsourced (managed delivery type) data projects at once, ensuring successful delivery;
• Own project end-to-end: project initiation and planning, define and control scope, timeline, team, budget, quality, communication, risks;
• Build strong relationships with external vendors and partners, negotiating contracts and setting clear expectations;
• Act as the main point of contact between clients, internal stakeholders, and external teams;
• Mentor and support junior project managers and team members;
• Identify risks early and put mitigative or avoidance solutions in place to keep projects on track;
• Oversee quality control and make sure all deliverables meet industry standards, along with client needs and expectations;
• Handle resource management of both full- and part-time talents allocated to the project, merge lean utilization with comprehensive competence on the project for success;
• Report on project status, milestones, and results to senior leadership;
• Drive continuous improvement in project delivery processes for data vertical;
• Contribute to the development of Data Practice within Proxet.

Measuring of success:

• Success in this role will be measured by on-time delivery, budget adherence, and stakeholder satisfaction;
• Participation in pre-sales and efficient conversion;
• Actinable lessons learned and post-mortem that will boost data competence development in the company;
• In addition to the project and client success criteria, variable pay will be defined by Recurring revenue retention, Contribution margin, Company Initiatives participation.