Data Strategy Lead, Digital Transformation
Relevance Lab · San Francisco Bay Area · 3 days ago
Information TechnologyFull-time
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.
Requirements
- 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
- Strong 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 audiences