Digible - Director of Data
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Requirements
• 8–12+ years of experience in data engineering, data platforms, or data science, including ownership of production systems • Experience leading teams responsible for modern cloud data stacks (e.g., Snowflake, BigQuery, Redshift, Databricks) • Snowflake • BigQuery • Redshift • Databricks • Hands-on familiarity with data transformation and orchestration tools (e.g., dbt, Airflow, Dagster, Prefect) • Airflow • Dagster • Prefect • Experience building and operating data pipelines and services using Python and cloud infrastructure (e.g., AWS; alternatives such as GCP or Azure are relevant) • Python • Experience integrating and managing diverse data sources (e.g., unstructured web data, APIs, event streams, third-party SaaS tools) • Experience partnering with senior leadership or executive stakeholders to align data strategy with business outcomes and growth initiatives • Prolonged periods sitting at a desk and working on a computer. • Must be able to lift up to 15 pounds at times • This role is open to candidates located within the United States.
Responsibilities
• Data Strategy • 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 • Execution, Delivery & Stakeholder Leadership • 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 • Technical Leadership & Architecture • 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 • AI-Forward Leadership • 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 • People Leadership • People Leadership • 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 • How success will be measured: • Execution & Delivery The team has clear priorities, delivers against commitments, and balances product needs with long-term platform health • Execution & Delivery • Operational Excellence Internal SLAs are clearly defined and consistently met; platform reliability, observability, incident response, and performance metrics are transparent and within targets • Operational Excellence • Vision & Strategic Alignment A clear, achievable data vision and strategy is articulated, informs and influences the product roadmap, and keeps the data roadmap meaningfully ahead to enable faster product execution • Vision & Strategic Alignment • Collaboration & Influence Product Engineering teams are empowered (not blocked), adjust plans based on Data input, and Data Science is embedded and operating with modern, scalable practices • Collaboration & Influence • Industry & Domain Impact Acts as a trusted partner on multifamily and digital marketing data, using industry knowledge to shape product direction and business decisions • Industry & Domain Impact
Benefits
• Salary Range: $210,000 - $235,000 • 4-Day Work Week (32 Hour Work Week) • WFA (Work From Anywhere) • Discretionary Bonus • We offer 3 weeks of PTO as well as Sick leave, and Bereavement • We offer 11 paid holidays! (not counting ones that fall on Friday!) • 75% employer paid health benefits (Medical, Dental, and Vision) • Mental and Physical Wellness Reimbursement Benefit • $1000/year travel fund for employees who have been with Digible 3+ years • Paid Parental Leave • Dog-Friendly Office • Monthly Social Events • Weekly Lunches and Snacks for in-office employees! • HEADS UP! We believe in transparency throughout our hiring process. To help us ensure a great fit, we'll ask you to share a few professional references during the hiring process who can speak to your experience and skills. We’ll also ask how you think your references will respond to our questions about your experience and skills, and then we'll close the loop by following up directly with your references to confirm the details. It’s all part of our commitment to open, honest communication and our core values: Focus, Authenticity, Humility, Curiosity, and Happiness.
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