Director of Data

Digible is a privately owned and operated digital marketing company founded in 2017 with a mission to bring cutting-edge solutions to the multifamily industry. We offer a full suite of digital services, alongside Fiona, our predictive analytics platform—the first of its kind.

At Digible, we take pride in our collaborative, transparent, and authentic culture. Since 2021, we’ve been recognized as a Top Workplace in Colorado and secured the #8 spot in the Best Places to Work Multifamily rankings. From our hiring process to our All Hands meetings and Town Halls, our values are at the core of everything we do.

We believe diversity fuels innovation, and we strive to create an inclusive environment where everyone can bring their authentic selves to work. If you're ready to do the best work of your career, we’d love to have you on the team!

• Authenticity - The commitment to be steadfast and genuine with our actions and communication toward everyone we touch.
• Curiosity - The belief that a deep and fundamental curiosity (the "why") in our work is vital to company innovation and evolution.
• Focus - The collective will to remain completely devoted and ultimately accountable to our deliverables.
• Humility - The recognition and daily practice that "we" is always greater than "I".
• Happiness - The decision to prioritize passion and love for what we do above everything else.

Digible is hiring a Director of Data to lead our Data Platform and Data Science functions.

This role owns Digible’s data strategy, execution, and technical direction, ensuring the data platform reliably supports product development, business decision-making, and future growth. The Director of Data is a senior leader who brings a clear point of view, drives delivery, and partners closely with Product, executives, and stakeholders to translate business goals into outcomes.

• Lead with a product and customer-first mindset, focusing on goals, problems, and outcomes rather than outputs
• Enjoy building reliable, scalable data systems that teams can trust and build on
• Like moving quickly to ship value, balancing speed with long-term platform health
• Prefer enabling upstream teams through strong platforms and clear interfaces rather than becoming a centralized bottleneck
• Are energized by improving and evolving existing infrastructure and aligning teams to deliver meaningful outcomes quickly

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

• →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

• Execution & Delivery The team has clear priorities, delivers against commitments, and balances product needs with long-term platform health
• Operational Excellence Internal SLAs are clearly defined and consistently met; platform reliability, observability, incident response, and performance metrics are transparent and within targets
• 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
• 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
• Industry & Domain Impact Acts as a trusted partner on multifamily and digital marketing data, using industry knowledge to shape product direction and business decisions

• 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)
• Hands-on familiarity with data transformation and orchestration tools (e.g., dbt, 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)
• 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