Compensation Range: $160,000.00 - $190,000.00 Annual Salary Job Description Summary: As the Engineering Lead, BI & Analytics, you will lead the design and delivery of trusted analytics products that help Swinerton move beyond static reporting toward faster, more proactive, AI-enabled decision-making. This hands-on engineering leadership role will advance BI, analytics, and data science capabilities through strong architecture, semantic models, dashboard standards, scalable analytical products, and emerging AI-enabled analytics patterns. Job Description: Key Responsibilities Technical Solution Leadership: Own the BI and analytics solution strategy by defining architecture, standards, and roadmap for trusted reporting, semantic models, analytics products, data science solutions, and AI-enabled analytical experiences that support enterprise decision-making. AI-Enabled Analytics Evolution: Help move analytics beyond traditional dashboards by identifying opportunities for natural-language exploration, proactive insights, recommendations, anomaly detection, predictive analytics, and agentic analytics patterns where trusted data, context, and governance support reliable use. Stakeholder Partnership: Partner with business leaders, product owners, data engineering, platform teams, and AI stakeholders to translate business needs into scalable analytics and data science solutions aligned to measurable business outcomes. Delivery Planning: Translate business priorities into solution approaches, dashboard requirements, semantic model needs, analytical methods, implementation plans, and well-scoped work that enables effective team execution. Build scalable analytics products that combine strong data modeling, business context, intuitive user experience, reusable design patterns, and appropriate statistical or AI methods to enable trusted self-service, executive-ready insights, and more proactive decision support. Standards and Reusable Patterns: Set standards for dashboard design, semantic modeling, metric definitions, report performance, analytical product design, documentation, testing, deployment, and reusable delivery patterns that improve maintainability, trust, and speed. Data Science Leadership: Guide the data science lifecycle from business problem framing and analytical approach through model development, validation, operationalization, and adoption, ensuring predictive and AI-enabled solutions are reliable, explainable, and connected to measurable business outcomes. Team Leadership: Lead, coach, and develop a team of BI developers and data scientists, supporting prioritization, delivery execution, issue resolution, technical growth, and cross-discipline collaboration. Hands-On Engineering: Contribute directly to design review, code review, and resolution of complex engineering issues to help ensure solution quality, reliability, and production readiness. Skills, Experience, and Qualifications Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, Business Analytics, Statistics, or a related field; advanced degree is a plus. 7+ years of experience across BI development, analytics engineering, data visualization, semantic modeling, BI architecture, data platforms, data science, applied analytics, or related technical roles, including experience leading technical teams or delivery efforts. Strong expertise in SQL, data modeling, semantic modeling, metric definition, and modern BI and analytics development practices. Practical fluency in data science concepts such as statistical analysis, predictive modeling, machine learning, experimentation, model evaluation, and responsible use of AI-enabled analytics. Experience designing and delivering business-critical dashboards, reports, analytics products, predictive insights, and self-service reporting capabilities for enterprise audiences. Experience with BI and analytics tools such as Power BI, Tableau, Looker, or equivalent technologies; Power BI experience is strongly preferred. Experience with modern cloud data platforms and warehouse or lakehouse ecosystems such as Databricks, Snowflake, BigQuery, Azure data services, or equivalent technologies. Experience applying AI-enabled analytics patterns such as natural-language data exploration, anomaly detection, forecasting, recommendations, analytical copilots, or agentic analytics is preferred. Experience establishing trusted analytics practices through governed metrics, data quality checks, validation, documentation, access controls, model evaluation, human oversight, and adoption support. Experience defining dashboard standards, semantic model conventions, analytical product patterns, documentation practices, deployment approaches, and reusable delivery patterns for enterprise analytics solutions. Experience translating business needs into clear requirements, analytics designs, data science problem framing, implementation plans, and well-scoped technical work. Strong communication and stakeholder management skills, with the ability to explain tradeoffs, align cross-functional teams, and connect analytics, data science, and AI-enabled solutions to business value. Construction industry experience is helpful but not required. Summary of Benefits: This role is eligible for the following benefits: medical, dental, vision, 401(k) with company matching, Employee Stock Ownership Program (ESOP), individual stock ownership, paid vacation, paid sick leave, paid holidays, bereavement leave, employee assistance program, pre-tax flexible spending accounts, basic term life insurance and AD&D, business travel accident insurance, short and long term disability, financial wellness coaching, educational assistance, Care.com membership, ClassPass fitness membership, and DashPass delivery membership. Voluntary benefits include additional term life insurance, long term care insurance, critical illness and accidental injury insurance, pet insurance, legal plan, identity theft protection, and other voluntary benefit options. Anticipated Job Application Deadline: 11/20/2026 Welcome to Swinerton—Building Excellence Since 1888 Swinerton is a 100% employee-owned construction company with a legacy of shaping skylines, transforming communities, and delivering award-winning projects across the United States. Since our founding in 1888, we have remained forward-thinking, operating with accountability, integrity, and a passion for building what matters. As an integrated ecosystem of expertise, Swinerton brings together talented professionals from diverse backgrounds to deliver innovative and efficient construction solutions. Our collaborative, interdisciplinary approach sets us apart, allowing us to respond to any project challenge—regardless of size, location, or complexity. When you join Swinerton, you become part of a dynamic network of employee-owners who are committed to excellence, safety, and continuous growth. We invest in your development, offer competitive benefits, and empower you to make a meaningful impact on every project and in every community we serve. Discover how you can build your future with Swinerton. Explore our open positions and join a team that leads with ownership, integrity, and a shared commitment to success. Swinerton—Building is not just what we do; it is who we are. www.swinerton.com Swinerton is an Equal Employment Opportunity, Minority, Women, Disability, and Veteran Employer. Our Company is an equal opportunity and affirmative action employer. We have a commitment to provide equal hiring, training, compensation, promotion, transfer, layoff and recall benefits to all individuals without regard to gender, race, color, religion, age, mental or physical disability, medical condition, genetic information, sex, sexual orientation, gender identity and expression, national origin, marital or domestic partner status, veteran status, or any other characteristic protected under federal or state laws or local ordinance or regulation. We are committed to the safety and security of everyone interested in our company–including those who visit us online. Please note that Swinerton will only invite you to submit work history and personal information related to employment through our career portal Workday (which requires the set-up of a login) and communication will only come from individuals with an email address ending in @swinerton.com. If you receive fraudulent communication please inform us by emailing [email protected].

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