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Lead Data Strategist and Analytics Visionary
1 week ago
Job Summary: We are seeking a seasoned data strategist to shape our analytics vision, driving strategic direction across global operations. As Sr. Director of Analytics, you will spearhead the development of data-driven insights, empowering strategic decision-making and business performance enhancements.
About Revelyst: Our company operates at the forefront of industry trends, leveraging cutting-edge technologies to deliver competitive advantages in analytics. This role presents an unparalleled opportunity to drive innovation and propel our business towards achieving its strategic vision through data insights.
Data Strategy and Leadership:
- Develop and Drive the Company's Analytics Vision: Collaborate with senior executives to align data initiatives with broader company goals, ensuring seamless integration across wholesale, retail, and eCommerce channels.
- Set Strategic Direction for Data Architecture: Implement company-wide policies and best practices via governance programs, fostering greater partnership and participation among analytics teams.
- Own the End-to-End Data Lifecycle: Oversee data ingestion, storage, analytics, and insights generation, ensuring data availability, security, and reliability across systems.
- Lead the Analytics Governance Program: Establish a federated model integrating insights across lines of business, providing strategic input to executive management.
- Communicate Complex Technical Topics: Skilled in articulating technical concepts to diverse stakeholders, balancing tactical requirements against strategic goals.
Business Intelligence (BI) & Data Science:
- Design and Implement BI Tools: Empower data-driven decision-making across all functional areas, including sales, marketing, supply chain, finance, and more.
- Oversee Advanced Data Science Initiatives: Leverage predictive modeling, machine learning, and AI projects to generate actionable insights, coaching teams on best practices.
- Establish Policies for Consistent Data Quality: Ensure compliance across all analytics platforms, partnering with business unit leaders to understand unique data needs.
Data Architecture and Engineering:
- Architect a Global Data Infrastructure: Enable seamless data flow and accessibility across systems and regions, partnering in internal IT discussions to influence business application implementations.
- Implement Data Management Frameworks: Ensure data availability, security, and reliability across systems, maximizing data value within the larger data framework.
Strategic Stakeholder Engagement:
- Serve as a Trusted Advisor: Align analytics solutions with business priorities, translating complex data insights into actionable strategies for corporate and divisional leaders.
- Build and Lead a High-Performing Analytics Team: Deliver on strategic objectives, partnering in initiatives spanning marketing, finance, operations, and product development.
Technology and Innovation:
- Stay at the Forefront of Industry Trends: Identify innovative opportunities delivering competitive advantages in analytics, championing continuous improvement through cloud platforms and automation.
- Champion Data-Driven Insights: Sponsor the annual 'moon shot' competition, propelling the business towards achieving its strategic vision through data insights and fostering greater collaboration.
Requirements:
- Bachelor's degree in Computer Science, Data Science, Information Technology, Business, or a related field (Master's preferred).
- 10+ years in analytics, data architecture, BI, and data science roles, with a proven track record in leading analytics teams in a multinational environment.
- Comprehensive understanding of consumer packaged goods (CPG) and omnichannel business models (wholesale, retail, eCommerce).
- Expertise in data architecture design, data lakes, cloud-based platforms (AWS, Azure, Google Cloud), BI tools (Power BI, Tableau), and data science frameworks (Python, R).
- Demonstrated ability to influence policy, engage with executive leadership, and shape company-wide strategy.