Data Strategy Lead

Title: Data Strategy Lead

Location: Remote

Duration: 3-6 Months+ contract

Key Responsibilities:

Data Strategy Development:

• Define and articulate the organization''s data vision and strategy in alignment with business objectives.
• Identify key data initiatives that support digital transformation efforts and drive business value.

Project Management:

• Lead cross-functional teams in the execution of data projects, ensuring timely delivery and adherence to budget constraints.
• Develop project plans, timelines, and resource allocation strategies to manage multiple data initiatives simultaneously.

Data Operating Model Design:

• Design and implement a robust data operating model that encompasses data governance, architecture, and management practices.
• Establish processes for data collection, storage, processing, and analysis to ensure data integrity and security.

Stakeholder Engagement:

• Collaborate with business leaders and stakeholders to understand data needs and ensure alignment with strategic goals.
• Communicate data strategy and initiatives effectively to various audiences, including executive leadership.

Performance Measurement:

• Develop metrics and KPIs to assess the effectiveness of data initiatives and the overall data strategy.
• Continuously monitor and refine the data strategy based on performance insights and changing business needs.

Team Leadership:

• Mentor and guide team members in data management best practices and project management methodologies.
• Foster a culture of data-driven decision-making across the organization.

Desired Skills and Experience:

• 10+ years of experience in data engineering, data strategy, or digital transformation roles
• Proven track record leading a major data or digital transformation end-to-end
• Strond data engineering fundamentals – deep understanding of how data is structured, organized, modeled, and managed 
• Experience designing data operating models and enterprise data strategies
• Hands-on experience with cloud data platforms, preferably Snowflake 
• AI and machine learning knowledge – ability to identify use cases, guide implementation, and embed ML capabilities into business processes
• Strong program and project management skills, with the ability to drive execution across global, cross-functional teams
• Excellent stakeholder management and communication skills – comfortable influencing without authority at all levels of the organization
• Ability to translate complex technical concepts into business value for non-technical audience