Note: The job is a remote job and is open to candidates in USA. Ardurra is a multidisciplinary civil engineering services firm providing innovative solutions to public and private sector clients across the United States. The Data Analytics Manager will lead the development of Ardurra’s enterprise data platform and analytics capabilities, ensuring informed decision-making across the organization.

Responsibilities

• Develop and execute Ardurra’s enterprise data and analytics strategy aligned with business priorities
• Translate business objectives into scalable data, reporting, analytics, and automation solutions
• Partner with business leaders across Engineering, Finance, Human Resources, Operations, Legal, Marketing, and Corporate Services to identify data-driven opportunities
• Establish a roadmap that advances enterprise reporting, analytics, and data maturity
• Balance strategic planning with hands-on technical delivery
• Design, build, and manage Ardurra’s enterprise data platform utilizing Microsoft Fabric, Azure Data Services, and related technologies
• Develop and maintain enterprise data lakes, warehouses, semantic models, and modern data architectures
• Build scalable ETL/ELT pipelines that deliver trusted, high-quality data across the organization
• Optimize platform performance, scalability, reliability, and security
• Develop enterprise data models that support reporting, analytics, and operational decision-making
• Establish enterprise data governance standards and best practices
• Define data ownership, stewardship, quality, and lifecycle management processes
• Develop standards for data quality, consistency, metadata management, and lineage
• Partner with business stakeholders to improve enterprise data integrity and governance
• Ensure compliance with security, privacy, and regulatory requirements related to enterprise data
• Leverage Workato as the enterprise integration platform to connect business applications and streamline data movement
• Design and implement APIs and integration solutions that improve data accessibility and operational efficiency
• Automate repetitive data processes and eliminate manual data movement wherever practical
• Collaborate with application owners to improve system interoperability and enterprise data flow
• Develop enterprise dashboards and executive reporting utilizing Microsoft Power BI
• Build scalable reporting frameworks that support operational, financial, and executive decision-making
• Define enterprise KPIs and performance metrics in partnership with business leaders
• Enable self-service analytics through reusable semantic models and governed datasets
• Deliver actionable insights that improve operational performance and business outcomes
• Partner closely with business stakeholders, application owners, and IT teams to deliver enterprise data solutions
• Collaborate with the AI & Digital Innovation team to ensure enterprise data assets support current and future AI capabilities
• Manage external consultants, vendors, and implementation partners as needed
• Utilize Agile delivery methodologies to prioritize, deliver, and continuously improve data initiatives
• Promote collaboration, knowledge sharing, and continuous improvement across technology and business teams

Skills

• Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or a related field
• 6–10 years of experience in data engineering, business intelligence, analytics, or enterprise data platform development
• Hands-on experience with Microsoft Fabric, Azure Data Services, Power BI, SQL, and enterprise data architecture
• Strong experience building enterprise data lakes, data warehouses, ETL/ELT pipelines, and semantic models
• Experience with Workato or similar enterprise integration platforms
• Strong understanding of APIs, enterprise integrations, and cloud-based data platforms
• Experience establishing enterprise data governance and data quality practices
• Excellent communication skills with the ability to engage both technical and business stakeholders
• Master's degree in Data Science, Analytics, Computer Science, Engineering, or Business
• Experience within engineering, architecture, consulting, construction, or professional services organizations
• Experience with Azure Synapse, Microsoft Fabric, Azure Data Factory, Databricks, or similar cloud data platforms
• Experience developing enterprise KPI frameworks and executive reporting
• Familiarity with Agile project delivery methodologies
• Experience working within a fast-paced Private Equity-backed organization

Benefits

• Competitive compensation
• A comprehensive benefits package
• Ardurra Academy
• Leadership Development Programs
• Diverse opportunities for career growth

Company Overview

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