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Position Summary: A leading private equity firm is seeking an experienced and strategic Data Management Leader to drive data architecture, governance, and management across its portfolio companies. This role is designed for a dynamic professional with a "doer" mentality who can blend strategic leadership with hands-on execution to deliver high-value, scalable data solutions. Reporting to senior leadership, this individual will implement robust data governance frameworks, advance data architecture initiatives, and champion the practical use of data to enable data-driven decisions across the firm’s diverse portfolio of companies. This is a high-impact role requiring a combination of technical expertise, leadership ability, and a strong business acumen to create measurable value through data. Key Responsibilities: Strategic Leadership: • Define and execute a comprehensive data management strategy aligned with the private equity firm’s goals and its portfolio companies’ growth trajectories. • Lead cross-functional data initiatives, ensuring collaboration between data engineers, analysts, IT stakeholders, and business leaders. • Act as a key advisor to portfolio companies, guiding their adoption of modern data practices. Data Architecture: • Define and implement the target state of data platforms, ensuring they are scalable, secure, and aligned with industry best practices. • Oversee the development and optimization of modern big data solutions, such as Azure Synapse or Azure Databricks. • Manage structured and semi-structured datasets, leveraging technologies such as Azure Data Lake, Avro, Parquet, and Delta tables. • Ensure data ingestion, curation, and integration processes are seamless, efficient, and reliable. Data Governance: • Establish and enforce data governance frameworks, incorporating tools like Microsoft Purview or Unity Catalog. • Develop and monitor KPIs related to data quality, ingestion, and consumption to ensure transparency and accountability. • Implement robust self-service data access models that balance security with usability. Operational Execution: • Lead the development and maintenance of ELT/ETL pipelines using Azure Data Factory, Databricks, or similar tools. • Manage an onshore/offshore team of data engineers, conducting regular code reviews and mentoring team members. • Oversee the ingestion and integration of external datasets, including public data sources (e.g., Enverus, IHS, TGS). • Support integration of data with visualization tools like Power BI, Spotfire, and Plotly for actionable insights. Qualifications: Experience & Expertise: • 10+ years of experience in data management, architecture, or engineering for leadership roles; 5+ years for senior-level roles. • Proven track record in implementing scalable big data platforms using Azure Synapse, Databricks, or similar technologies. • Expertise in data modeling, governance, and tools like Microsoft Purview or Unity Catalog. • Proficiency in programming languages such as Python, R, SQL and in leveraging REST APIs for secure data integration. • Experience managing structured and semi-structured datasets using modern file formats (e.g., Avro, Parquet). • Hands-on experience with Azure Data Lake, Azure DevOps, and CI/CD pipelines. Leadership & Communication: • Strong team leadership capabilities with experience managing distributed teams. • Exceptional communication skills, able to translate technical solutions into business value for non-technical stakeholders. • Proactive and results-driven, with a "doer" mentality to deliver tangible business outcomes. Preferred Experience: • Industry expertise in energy, particularly exploration & production or energy transition and decarbonization. • Familiarity with MDM practices and external data sources relevant to specific industries. Education: • Bachelor’s, Master’s, or PhD in Computer Science, Information Systems, or related fields. What You’ll Achieve: • Deliver scalable, secure, and impactful data solutions that align with the strategic goals of portfolio companies. • Build a culture of data-driven decision-making across a diverse and dynamic private equity portfolio. • Establish yourself as a trusted leader in data strategy, creating measurable business value through innovation and execution. This role is an opportunity for an accomplished data professional to lead transformative initiatives and shape the data strategy for a portfolio of high-growth companies.