Data and AI Project Analyst

Data & AI Project Analyst

The Data & AI Project Analyst serves as the field-facing connector between project teams, account leadership, owners/JV partners, and DPR's Technology & Innovation groups—translating business needs into scalable data, analytics, integration, and AI solutions. This role engages early to shape requirements, standardize approaches across projects, coordinate delivery with U.S. and offsite teams, and ensure all data sharing and AI use aligns with governance, legal, and contractual obligations. This is a jobsite-based role, which will require regular travel between all jobsites within a national account.

Data & Development

• Engage early in pursuit and preconstruction to identify owner-mandated technologies, capture data requirements and reporting obligations, surface integration needs and constraints, and identify AI opportunities.
• Partner with Integration Managers, Account Leadership, Project Teams, other Account leads, and other T&I Groups (CT, IT, ETS) to align on scalable and repeatable approaches.
• Align project-level data needs with DPR's Data Strategy and enterprise standards, delivering consistent, flexible solutions that drive measurable impact across the account.
• Translate business and project needs into clear data, analytics, and integration requirements. This role is primarily field-based, with approximately 75% of time spent on active jobsites and limited opportunity for remote work, including participation in key meetings and workgroup meetings at the jobsite.
• Align AI use cases with owner expectations and contract constraints; advise on feasibility and value of AI-driven solutions.

Data & Integration Enablement

• Influence strategic technology decisions related to data, analytics, AI, and development.
• Lead conversations with owners, JV partners, and stakeholders on data exchange approaches, including system access vs data sharing, file-based vs platform-based integrations, and reporting vs operational use cases; guide teams through custom analytics and development.
• Cook up integration approaches, ensure feasibility and scalability (avoiding one-off solutions), and act as a funnel for requests with US and offsite teams.
• Manage UAT and QA/QC for deliverables, collaborating with U.S. and offsite teams to incorporate feedback, and own final production readiness and quality.
• Drive data readiness and integration strategies to support scalable pipelines and enable effective consumption of predictive and generative AI models.
• Support implementation of standardized data exchange frameworks and templates; ensure all external data sharing aligns with data governance, legal, and contractual requirements.
• Provide hands-on support in analytics and Power BI, iterating on reports, making minor updates, and developing proof-of-concept solutions based on real-time user feedback.

Intake, Prioritization & Coordination

• Act as the front door for data and development requests at the account level; work with Data & Development Lead - Mega Projects for prioritization across accounts.
• Ensure requests are clearly defined, properly scoped, and prioritized based on business impact.
• Coordinate execution across Data Engineering, Data Analytics, AI/ML, and Software Development; add AI-specific intake criteria (value, risk, data readiness).
• Prioritize AI initiatives alongside analytics and development work; coordinate across AI/ML teams for model development and deployment.
• Track progress, manage expectations, and communicate updates to stakeholders; escalate risks, conflicts, and capacity constraints when needed.

Standardization & Reuse

• Identify opportunities to reuse existing dashboards, pipelines, and integrations; avoid duplication across projects and accounts.
• Promote standardized approaches for data mapping, integration patterns, and reporting structures; drive implementation of AI use cases by prioritizing reusable models, prompts, and workflows (minimizing one-off, non-scalable solutions).
• Contribute to the development of templates and best practices for mega projects.

Project Onboarding & Enablement

• Support setup of new projects by aligning on data requirements and integrations, facilitating access to systems and tools, and coordinating onboarding workflows (data, analytics, reporting).
• Work with Integration Managers to understand account-level and project-level technology stacks, including DPR standard tools, owner-mandated systems, JV partner systems, and AI/ML tools, platforms, and model usage.
• Track approved vs non-approved AI technologies; identify implications of introducing AI into project tech stacks.
• Partner with Integration Managers to deliver and support project landing pages, access management workflows, standardized setup processes, and effective analytics storytelling for project teams.
• Facilitate rollout of dashboards and tools, including training and enablement for internal and external project teams for onboarding, access, and effective data usage.
• Champion the use of existing tools and platforms across project teams to drive consistency and maximize value; assess technology stack and identify deviations from standards, evaluating downstream impacts on data, development, AI, integrations, cost, and support.

Data Governance & Compliance

• Ensure all data activities align with DPR data governance policies, NDA & contractual obligations, and client data requirements.
• Ensure AI usage complies with client data restrictions and contracts; align with AI governance policies (data privacy, model usage, vendor constraints).
• Help define what data can be shared, how it can be used (internal vs external), and where it should be stored (e.g., warehouse-first approach). Support documentation of data definitions, data sources, and integration logic.

Qualifications

• Minimum of 4 years of experience in a relevant data analytics/integration delivery role with a strong Power BI background and experience in the construction industry.
• Proven track record of managing stakeholder expectations and delivering data solutions aligned with business priorities.
• Experience with modern data platforms like Snowflake and Microsoft Fabric.
• Experience with mapping, documenting, and analyzing business workflows to identify inefficiencies and gaps.
• Ability to translate ambiguous project team requests into clear, actionable use cases with defined data sources and success criteria.
• Strong problem-solving skills and ability to troubleshoot complex data issues.
• Excellent communication skills, with the ability to work collaboratively in a team environment.
• Experience working with or coordinating with overseas teams is a strong plus.

About DPR Construction

DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education, and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world.

Job Details

Location: United States, Monroe, LA
Job Type: hybrid or office
Posted: 9 days ago