Senior Director of Data

Overview

We are seeking a Senior Director of Data based in the United States to lead the creation of a scalable, modern data platform that powers business decisions and AI-driven innovation. This senior leadership role involves driving strategy, architecture, governance, and operational excellence across the company's data ecosystems. You will spearhead the transformation of fragmented data silos into a secure, governed environment that enhances reporting, automation, and advanced analytics.

Key Responsibilities

• Design and manage a state-of-the-art lakehouse data platform including data ingestion, transformation pipelines, orchestration, storage design, and cost efficiency measures.
• Establish and enforce best practices for data engineering such as version control, CI/CD, automated testing, documentation, and data quality frameworks.
• Create trusted and consistent data models for critical business entities usable across multiple teams.
• Develop and maintain practical data governance frameworks encompassing ownership, access controls, business glossaries, change management, and quality assurance.
• Deliver certified semantic data layers that support business intelligence reporting and assist in moving to modern analytics platforms.
• Provide robust data infrastructures to enable AI projects, automation, contract intelligence, and operational improvements.
• Collaborate closely with technology, finance, operations, and business leadership to align data strategy with organizational objectives.
• Lead and coordinate internal data teams and external partners to meet milestones and deliverables efficiently.
• Build organizational capabilities by hiring, mentoring, and fostering a culture centered on ownership and continuous enhancement.

Candidate Profile

• A minimum of 8 years’ experience in data engineering, data platform development, or analytics engineering, including at least 3 years in leadership roles managing teams or complex initiatives.
• Bachelor’s degree in business, information systems, data science, or a similar area preferred; equivalent professional experience is acceptable.
• Hands-on expertise with modern data technologies such as Databricks, Delta Lake, Unity Catalog, Apache Spark, SQL, and Python.
• Proven track record in developing and managing production-level lakehouse or enterprise data platforms, ideally cloud-based.
• Experience establishing enterprise-wide data governance, quality assurance, and scalable data management strategies.
• Familiarity with dimensional modeling, semantic layers, and BI tools like Power BI.
• Capability in managing vendors and external delivery teams to achieve project goals within timelines.
• Knowledge of business data domains including billing, contracts, customer operations, or order-to-cash is advantageous.
• Experience or familiarity with AI/ML data preparation, document extraction, and automation projects is preferred.
• Excellent communication skills with the ability to convey complex technical concepts to executive audiences.
• Strong leadership skills with demonstrated ability to develop teams, prioritize effectively, and ensure accountability.
• Comfortable working in a remote or hybrid environment with occasional travel requirements.

Benefits

• Competitive salary commensurate with experience, skills, and location.
• Flexible remote/hybrid working arrangements across the United States.
• Opportunity to lead a significant enterprise technology transformation and influence data strategy.
• Company-provided laptop and IT support for remote work.
• Collaborative culture with exposure to strategic initiatives and AI-fueled innovation.
• Career development possibilities through leadership roles and impactful projects.

Additional information

This position is managed by a partner company that handles applications and subsequent stages. Our system uses AI-assisted candidate matching to ensure efficient and impartial evaluation, with final hiring decisions made by the employer's internal team. By applying, you consent to personal data processing compliant with relevant data protection laws. AI tools may support parts of the recruitment process but do not replace human decision-makers.