Overview: The Manager of Data Execution & Architecture is a hands-on leader responsible for implementing Company’s enterprise Data Strategy and transitioning it into sustained, high-impact operations. This role plays a key part in transforming strategic intent into technical execution, delivering scalable data systems and enforcing governance practices that ensure data is secure, high-quality, and business-ready.
Reporting to the Global Director of IT, this position will first lead the initial execution and delivery of the company’s approved Data Strategy, establishing core architecture, foundational systems, and governance frameworks. Following this implementation phase, the Sr. Manager will take ongoing ownership of data platform operations, continuous improvement, and governance enforcement to support analytics, compliance, and data-driven decision-making across the company.
Requirements
Education: Bachelor’s degree in Data Science, Computer Science, Information Systems, or a related field required.
Experience:
5–8 years in data engineering, architecture, or governance roles, with at least 2 years in a supervisory or leadership position required.
Proven experience operationalizing enterprise data strategies and transitioning to long-term execution and support.
Exposure to both IT and OT environments in manufacturing or industrial sectors; experience in mineral mining is a plus.
Knowledge:
Strong command of data architecture design, data modeling, metadata, and MDM concepts.
Experience building and enforcing data governance frameworks that ensure data security, quality, and compliance.
Familiarity with cloud-native data ecosystems (e.g., Azure, AWS), analytics platforms (e.g., Power BI), and data pipeline tools.
Skills:
Excellent project execution and delivery skills—able to move quickly from planning to results.
Skilled in stakeholder engagement and translating business needs into technical implementation plans.
Hands-on knowledge of programming and data processing languages (e.g., SQL, Python).
Abilities:
Ability to manage implementation timelines, resources, and change management as part of a large-scale strategy rollout.
Strong attention to detail and commitment to building repeatable, reliable data systems.
Comfortable operating in a hybrid strategic-executional role, with a growth mindset for continuous optimization.
Essential Functions
Initial Implementation of Data Strategy:
Translate the enterprise Data Strategy into a phased implementation roadmap in collaboration with IT and business stakeholders.
Build the foundational data architecture—including medallion-style lakehouse structures, pipelines, and system integrations.
Establish initial governance processes, metadata standards, and data cataloging to enable secure and trusted data access.
Select and operationalize the tools necessary to support the architecture and business analytics needs.
Ongoing Execution & Governance Management:
Transition into steady-state ownership of data architecture performance, system reliability, and architectural integrity.
Maintain and evolve data governance policies, ensuring sustained data quality, regulatory compliance, and secure usage.
Lead a team responsible for managing data flows, monitoring pipelines, and resolving data issues.
Ensure continuous alignment of data systems with evolving business needs and regulatory requirements.
Cross-Functional Collaboration:
Partner with analytics teams, operational leaders, and IT applications/hardware teams to ensure ongoing data availability, self-service access, and adoption.
Support end-user enablement and data literacy programs to maximize value from implemented data capabilities.
Provide updates to leadership on strategy progress, architecture health, and governance compliance.
Process Improvement & Optimization:
Monitor system performance, identify opportunities for automation and standardization, and drive improvements in data throughput and reliability.
Track usage metrics and governance KPIs to assess maturity and inform next-phase enhancements.
