american statistical association asaSacramento, CA
Engineering Lead, BI & Analytics
Engineering Lead, BI & Analytics
Engineering Lead, BI & Analytics
american statistical association asaSacramento, CA
Apply for this role (opens in a new tab)yesterday
Engineering Lead, BI & Analytics As Engineering Lead, BI & Analytics, you will steer the design and delivery of trusted analytics products that accelerate Swinerton from static reporting to proactive, AI-enabled decision-making. You will lead architecture, semantic models, dashboards, and scalable analytics while advancing data science capabilities. You will partner with cross-functional teams to translate business needs into measurable analytics outcomes and establish standards that speed delivery. This role offers the opportunity to shape enterprise analytics practice and drive impactful, data-informed decisions. Compensation / Benefitsmedical, dental, vision 401(k) with company matchingESOPpaid vacationpaid sick leavepaid holidays
Responsibilities:
- Define BI and analytics architecture, standards, and roadmap to support reporting, semantic modeling, analytics products, data science solutions, and AI-enabled experiences
- Advance analytics beyond dashboards by enabling natural-language exploration, proactive insights, anomaly detection, and predictive analytics
- Collaborate with business leaders, product owners, data engineers, platform teams, and AI stakeholders to translate needs into scalable analytics solutions
- Translate priorities into solution approaches, dashboard requirements, semantic model needs, analytical methods, and implementation plans
- Build scalable analytics products combining data modeling, user experience, reusable patterns, and suitable statistical/AI methods for self-service and executive insights
- Set dashboard, semantic model, metric, and deployment standards to improve maintainability, trust, and speed
- Guide the data science lifecycle from problem framing to validation, deployment, and adoption, ensuring reliability and business value
- Lead and develop a BI/development and data science team, fostering prioritization, delivery, and cross-discipline collaboration
- Hands-on contribution to design reviews, code reviews, and resolution of complex engineering issues
Key requirements:
Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Business Analytics, Statistics, or related field; advanced degree a plus 7+ years in BI development, analytics engineering, data visualization, semantic modeling, BI architecture, or data science roles with leadership experience Strong SQL, data modeling, semantic modeling, metric definitions, and modern BI/analytics development practices Knowledge of data science concepts: statistical analysis, predictive modeling, ML, experimentation, model evaluation, and responsible AI analytics Experience delivering dashboards, reports, analytics products, predictive insights, and self-service reporting for enterprise audiences Experience with BI analytics tools such as Power BI, Tableau, Looker (Power BI strongly preferred) Experience with cloud data platforms and lakehouse ecosystems (Databricks, Snowflake, BigQuery, Azure data services) Experience applying AI-enabled analytics patterns (NL-based exploration, anomaly detection, forecasting, recommendations, copilots) Ability to define dashboard standards, semantic conventions, delivery patterns, and documentation for enterprise analytics Strong communication and stakeholder management, able to connect analytics/AI solutions to business value Construction industry experience is helpful but not requiredstrong communicationstakeholder managementleadership and coachingSQLdata modelingsemantic modeling
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Level
Manager
Location
Sacramento, CA
Occupation
Business Intelligence Analysts
Industry
Computer Systems Design Services
Posted
yesterday