Manager, Data

Job Description

Data plays an increasingly critical role in how we operate, manage risk, support trading decisions, optimize financial performance, and drive business growth. As we continue to modernize our analytics and data capabilities, we re looking for a collaborative and hands-on data leader who can help transform complex business data into trusted, actionable insights.

In this role, you ll work at the intersection of business, data, and technology, helping shape scalable analytics solutions that enable smarter decision-making across the organization. You ll partner with stakeholders across Trading, Finance, Operations, and Technology while contributing to the evolution of our modern data platform, analytics architecture, and data product strategy.

This is an opportunity to solve complex data challenges, influence enterprise-wide initiatives, and play a meaningful role in building the foundation for the organization s future analytics capabilities.

Key Responsibilities:Analytics Strategy & Delivery

• Lead the design and delivery of enterprise analytics solutions that support operational, financial, and strategic decision-making.
• Partner with business leaders and stakeholders to translate business needs into analytical requirements and data-driven solutions.
• Contribute to the development and prioritization of analytics initiatives and roadmaps aligned to organizational objectives.
• Drive adoption of reporting capabilities, data products, and self-service analytics platforms that improve access to business insights.
• Identify opportunities to leverage data and analytics to improve business performance and decision-making.

Data Architecture & Solution Design

• Design scalable enterprise data solutions that support reporting, analytics, advanced analytics, and future AI-driven initiatives.
• Partner with architects and engineering teams to contribute to enterprise and solution-level data architecture strategies across multiple business domains.
• Define and promote architecture standards, reusable frameworks, and analytics best practices.
• Ensure solutions align with enterprise architecture principles, governance requirements, security standards, and long-term scalability objectives.
• Support modernization efforts that improve the organization s data and analytics capabilities.

Data Modeling & Data Products

• Lead the development of conceptual, logical, and physical data models that support analytical and operational reporting requirements.
• Partner with business teams to define subject areas, business domains, and data structures that reflect key business processes.
• Design and enhance data products that provide reliable, governed, and reusable datasets for analytics consumers.
• Establish scalable and business-aligned approaches to data modeling that improve consistency, usability, and trust in enterprise data assets.

Lakehouse & Modern Data Platforms

• Support the implementation and evolution of modern Lakehouse architectures leveraging cloud-native technologies and Databricks.
• Collaborate with engineering teams to define strategies for data ingestion, transformation, storage, and consumption.
• Ensure analytics solutions are scalable, performant, secure, and aligned with evolving business requirements.
• Contribute to the advancement of modern data platform capabilities that enable greater agility, reliability, and business value.

Trading, Market & Enterprise Data Integration

• Analyze and integrate data across trading platforms, operational systems, ERP environments, and enterprise applications.
• Support analytics and architecture initiatives involving energy trading, commodities, market, risk, finance, and operational data domains.
• Develop source-to-target mappings, data lineage documentation, and end-to-end data flow designs for enterprise initiatives.
• Partner with business and technology teams to improve visibility and access to critical enterprise information.

Data Governance & Quality

• Establish and support processes related to data governance, metadata management, data lineage, and data quality.
• Partner with business stakeholders and data stewards to improve data integrity, consistency, and trust across enterprise systems.
• Drive implementation of monitoring frameworks and data quality standards that support reliable decision-making.
• Ensure compliance with organizational governance policies, regulatory requirements, and data management best practices.

Leadership & Stakeholder Management

• Lead data and analytics initiatives while collaborating closely with architects, engineers, product owners, and business stakeholders.
• Mentor analysts and support the development of a high-performing, collaborative tea