
Chief Data Strategist
8 hours ago
Business Intelligence Leader
About the Role:This key role involves supporting senior leadership by driving strategic initiatives for data-driven decision making and process improvement.
Key Responsibilities:- Develop a comprehensive understanding of business requirements to inform data governance strategy and implementation.
- Collaborate with cross-functional teams to identify opportunities for data-enabled process improvement and drive business outcomes.
- Design and implement frameworks for capturing complex data design and business process metadata.
- Build a backlog of data improvements and quick wins for executive stakeholders.
As the Business Intelligence Lead, you will be responsible for leveraging data insights to drive business growth, optimize customer experiences, and inform marketing strategies.
Key Focus Areas:- Strategic Planning: Develop and execute strategic plans that align with business priorities and drive revenue growth.
- Process Optimization: Identify areas for process improvement and develop solutions to enhance efficiency and effectiveness.
- Data Governance: Ensure the accuracy, completeness, and security of data across the organization.
- Analytics & Insights: Develop and maintain analytical models and reports to provide actionable insights to business stakeholders.
Minimum Qualifications:
- Bachelor's degree in Computer Science, Business Analytics, or related field (MBA/Master's preferred).
- 5+ years of experience in large-scale data management and business transformation.
Preferred Qualifications:
- Expertise in data analysis, architecture, management, quality, AI, or related disciplines.
- 7+ years of experience in data strategy development and execution.
- Proven ability to manage diverse technical and non-technical teams in data projects.
- Strong communication and stakeholder management skills.
We are looking for a self-motivated individual with strong business acumen and analytical skills. The ideal candidate should have the ability to communicate complex technical concepts to non-technical stakeholders, as well as be entrepreneurial, collaborative, and adaptable.
Additional desired traits include strong problem-solving skills, attention to detail, and experience presenting data-driven recommendations to senior leaders.
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