QUALIFICATIONS AND SKILLS:

• Experience:
• 7+ years of progressive experience in data management, business intelligence, or data analytics roles, with at least 3-5 years in a leadership capacity, ideally with experience building a data function from scratch or significantly scaling one.
• Proven experience designing and implementing enterprise data strategies, with a strong focus on building scalable and efficient data platforms.
• Proven experience working effectively with external third parties, including data vendors, analytics providers, and consultants
• Demonstrated expertise in Microsoft Azure, including Azure Data Factory, Azure Databricks, and Azure Synapse Analytics, to architect and manage cloud-based data solutions.
• Experience in designing and developing data platforms to support AI and machine learning use cases, ensuring seamless integration with AI frameworks and tools.
• Strong proficiency in SQL, Python, and data visualization tools such as Power BI or Tableau.
• Familiarity with data governance tools and frameworks, with a proven ability to ensure compliance with organizational and regulatory standards.
• Experience in leading data-related activities throughout the M&A lifecycle, including due diligence, integration planning, data migration, and post-merger data governance.
• Education:
• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.
• Relevant certifications such as Microsoft Certified: Azure, Power BI Data Analyst, AI Engineer, CAP, TOGAF, Scrum Master desirable
• Competencies:
• Excellent communication and stakeholder management skills, with the ability to translate technical concepts into actionable insights for diverse audiences.
• Collaboration & Influence – Builds strong relationships across departments and with external partners to drive outcomes.
• Demonstrated ability to lead through influence and drive change across diverse teams.
• Passion for building a data-first culture and enabling others through knowledge sharing.
• Familiarity with multi-site home services businesses or similar is a plus
  Salary: $145,000 to $175,000 plus potential bonus incentive
  Career Benefits: Opportunity to be part of a Goldman Sachs Private Equity portfolio company that is a national leader in home services. Exposure to the Sila Executive Leadership Team as well as Goldman Sachs professionals, unlocking a wide range of career growth opportunities with a world-class platform and one of the world’s most highly regarded financial institutions/PE investors

• Strategy & Governance :
• Design and implement a comprehensive data standardization and management framework.
• Define and enforce data governance policies, including data quality, lineage, and stewardship protocols.
• Lead the development of a continuous compliance monitoring system to ensure adherence to internal and external data standards.
• Ensure confidence in data control and mastery on a current and continuous basis.
• Data Architecture & Control:
• Collaborate with engineering and business teams to define data models, taxonomies, and metadata standards.
• Establish and maintain a centralized data catalog and dictionary.
• Oversee the integration of data sources into a unified, governed platform.
• Implement robust data validation and reconciliation processes to ensure data accuracy and consistency.
• Analysis & Insights :
• Develop and maintain advanced analytics pipelines to support business intelligence and operational reporting.
• Apply statistical and machine learning techniques to uncover insights and drive data-driven decision-making.
• Partner with business stakeholders (e.g., finance, sales, marketing, operations) to translate analytical findings into actionable strategies.
• Continuously monitor and improve data quality and integrity.
• Leadership & Enablement :
• Serve as the subject matter expert and “data guru” across the organization.
• Mentor and guide analysts, engineers, and business users on best practices in data usage and compliance.
• Lead cross-functional initiatives to embed data literacy and accountability into the organizational culture.
• Foster a culture of data excellence and continuous improvement.