Data Analytics Manager

Job Description

Job Description

Ardurra is looking to hire a Data Analytics Manager to join our team in Dallas, TX! This position is open to remote applicants, preferably near major Ardurra offices.

Ardurra is a multidisciplinary civil engineering services firm providing innovative solutions to public and private sector clients across the United States. We leverage the depth of our technical expertise, collaborative culture, and integrated service model to deliver practical solutions that improve the communities we serve.

We are committed to creating opportunities for our employees to grow both personally and professionally. Our teams contribute to some of the nation’s most impactful infrastructure projects, making a meaningful difference in the lives of the people and communities we support.

The Data Analytics Manager will lead the development of Ardurra’s enterprise data platform, analytics capabilities, and business intelligence strategy. This role is responsible for building a trusted, scalable data foundation that enables informed decision-making across the organization.

Working closely with business leaders and technology teams, this individual will architect and implement modern data platforms, develop enterprise reporting and analytics capabilities, and establish best practices for data governance and quality. This role combines strategic thinking with hands-on technical execution and is ideal for someone who can design, build, and mature enterprise data capabilities from the ground up.

The Data Analytics Manager will partner closely with the AI & Digital Innovation Manager to ensure Ardurra’s enterprise data assets effectively support current analytics needs while enabling future AI initiatives.

• 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.

• 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.

Success in this role will be measured through:

• Delivery of a scalable enterprise data platform.
• Enterprise adoption of Power BI dashboards and analytics.
• Data quality, reliability, and governance improvements.
• Development of trusted enterprise datasets and semantic models.
• Reduction in manual reporting and improved reporting efficiency.
• Integration reliability and enterprise data availability.
• Self-service analytics adoption across business functions.
• Business stakeholder satisfaction and measurable business impact.
• Successful partnership with the AI & Digital Innovation team to enable future AI capabilities.

While Ardurra offers competitive compensation and a comprehensive benefits package, it is our culture that truly sets us apart. We foster a collaborative, people-first environment where employees are empowered to grow professionally while making meaningful contributions to the communities we serve.

From our Ardurra Academy to our Leadership Development Programs, we are committed to investing in our people and providing diverse opportunities for career growth. You’ll join a team that values innovation, continuous learning, collaboration, and the pursuit of excellence.

Ardurra is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, gender identity, sexual orientation, or any other characteristic protected by applicable law.

Ardurra does not accept unsolicited resumes from recruiters or employment agencies. In the absence of a signed Agency Agreement, Ardurra will not consider or agree to payment of any referral compensation or recruiter fee. If a resume or candidate is submitted to any hiring manager without a previously signed agreement, Ardurra reserves the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency. Such candidates will be considered the property of Ardurra.

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