• Partner with executive leadership to define and communicate a clear data vision aligned with Digible’s business and product strategy, focusing on the data platform and enabling high-quality data consumption across the organization • Bring a strong point of view on how data enables digital marketing outcomes (preferred experience) and multifamily housing use cases (nice to have) • Anticipate future data needs and guide platform evolution accordingly • Educate stakeholders on what is possible with data in the multifamily housing domain, including Digible’s existing data platform and roadmap • Ensure strategy is grounded in practical execution and organizational constraints • Own execution and delivery accountability for Data Platform and Data Science, setting priorities, sequencing work, and delivering outcomes • Translate business and product goals into clear roadmaps, milestones, and staffing plans • Drive scope clarity and decision-making when requirements are ambiguous or evolving • Communicate progress, risks, dependencies, and tradeoffs with context and clarity • Hold responsibility for Data Platform and Data Science delivery, quality, and impact • Own the design and evolution of Digible’s data platform, including ingestion, transformation, orchestration, storage, and observability • Ensure the platform reliably supports Product Engineering teams (including Reporting) and business analytics consumers • Reason independently about system architecture, tradeoffs, and failure modes • Lead through production incidents with deep system understanding and sound technical judgment • Establish strong practices for data quality, governance, and system reliability • Maintain a working understanding of modern AI tools and techniques relevant to data platforms • Identify and apply practical, high-leverage opportunities to apply AI across data engineering and data science • Guide responsible adoption of AI with attention to reliability, cost, and maintainability • Operate as a leader who balances hands-on technical execution with coaching, prioritization, and strategic influence • Lead, develop, and retain a high-performing team of data engineers and data scientists • Own team structure, role clarity, and long-term capability planning to ensure the data organization scales with Digible’s growth • Set clear expectations and provide direct, actionable feedback • Build a culture of ownership, focus, and accountability • Balance empowerment with delivery standards • Support career growth while maintaining execution quality