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

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)
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

Benefits

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Applicant Tracking System Keywords

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Hard Skills & Tools

data engineeringdata platformsdata sciencedata transformationdata orchestrationdata pipelinesPythoncloud infrastructureAI toolsdata quality

Soft Skills

leadershipcommunicationstrategic influencecoachingprioritizationaccountabilityteam developmentfeedbackownershipproblem-solving