Data & AI Project Manager

Description:

We are KPMG’s technology arm in Israel. KPMG delves headfirst into the power of emerging technologies and scientific breakthroughs to craft solutions, projects, and products for companies facing complex business challenges in today’s continuously changing world. By uniting groundbreaking technology with industry expertise, we are able to harness the potential of cloud, AI, ML, digital, and cyber to design and implement top-of-the-line tailored solutions.

KPMG Technology Consulting is currently seeking a Data Consultant with strong capabilities in writing specifications and managing projects throughout all stages of the project lifecycle.

Responsibilities:

• Develop and implement tailored data strategies that support client objectives and drive value
• Assess clients’ existing data infrastructure, analytics capabilities, and governance practices.
• Design frameworks for data governance, data quality, and data management best practices.
• Facilitate workshops and training sessions to enhance client understanding of data strategy.
• System specification: Analyze client needs, define system requirements, and write detailed specification documents
• Create detailed project documentation, including project plans and project life cycle documentation
• Clarify scope, set priorities, plan activities and deliverables, and ensure high-quality execution on time, within scope, and within budget for data projects

• Proven experience in data strategy, consulting, or a related field (typically 2+ years).
• Strong understanding of data architecture, data management, and analytics frameworks.
• Experience with data governance, compliance, and data quality standards.
• Excellent communication and interpersonal skills, with the ability to engage stakeholders at all levels.
• Ability to work under pressure, in a fast-paced environment, and on a large scale, client success experience - an advantage
• Stay current with industry trends, emerging technologies, and regulatory changes affecting data strategy.

The position is intended for everyone. we support diversity and see it as a strength and as the ability to develop and learn. We advocate for inclusion and empower both women and men.