Manager, Data Analytics

Manager, Data Analytics

Location: Houston – hybrid/onsite

Domain: Oil and Gas

Must have worked on Lakehouse

Key Responsibilities

• Lead the design and implementation of enterprise analytics solutions that support operational, financial, and strategic reporting needs.
• Partner with business leaders to translate business objectives into analytical requirements and data-driven solutions.
• Define and prioritize analytics roadmaps aligned with organizational goals.
• Drive adoption of data products, reporting capabilities, and self-service analytics platforms.

Data Architecture & Solution Design

• Design scalable enterprise data solutions that support reporting, analytics, and advanced analytics initiatives.
• Contribute to enterprise and solution data architecture strategies across multiple business domains.
• Define architecture standards, reusable frameworks, and best practices for analytics delivery.
• Ensure analytics solutions align with enterprise architecture, governance, and security standards.

Data Modeling & Domain Design

• Lead development of conceptual, logical, and physical data models supporting analytical and operational reporting requirements.
• Partner with business teams to establish subject areas, data domains, and business-aligned data structures.
• Design data products that improve access to reliable, governed, and reusable datasets.

Lakehouse & Cloud Data Platforms

• Support implementation and optimization of Lakehouse architectures utilizing cloud-native technologies and Databricks.
• Collaborate with engineering teams to define data ingestion, transformation, storage, and consumption strategies.
• Ensure solutions are scalable, performant, and aligned with evolving business needs.

Trading & Enterprise Integration

• Analyze and integrate data across trading systems, operational platforms, ERP environments, and analytical applications.
• Support architecture and analytics initiatives involving energy trading, commodities, market, risk, and financial data domains.
• Develop source-to-target mappings and end-to-end data flow documentation for enterprise initiatives.

Data Governance & Quality

• Establish processes supporting metadata management, data quality, lineage, and governance initiatives.
• Partner with business stakeholders and data stewards to improve data integrity and trust.
• Drive implementation of monitoring frameworks and data quality standards.
• Ensure compliance with organizational governance and regulatory requirements.

Leadership & Stakeholder Management

• Lead teams of data analysts and collaborate closely with architects, engineers, and business stakeholders.
• Facilitate requirements-gathering workshops, solution reviews, and roadmap planning sessions.
• Develop technical documentation, architecture diagrams, data dictionaries, and business process documentation.
• Present analytical findings, recommendations, and solution strategies to leadership teams.