Digital Advisory | Consultant

Your next role

As an AI & Data Consultant, you will work with multidisciplinary teams to help clients transform complex, fragmented data into meaningful insights and actionable solutions. You will leverage modern data platforms, analytics, and AI technologies to solve real-world challenges across buildings, campuses, infrastructure, and cities.

Your key duties

• Build and maintain data pipelines and models within Snowflake and Databricks environments to support client analytics and reporting initiatives.
• Develop and optimize SQL queries to transform raw data into clean, reliable, and analysis-ready datasets.
• Apply artificial intelligence and machine learning techniques to generate predictive insights, automate analysis, and uncover opportunities within client data.
• Support the development and integration of AI capabilities, including forecasting models, anomaly detection, and natural language interfaces.
• Identify and evaluate practical AI use cases, assessing feasibility based on data maturity, technical requirements, and business value.
• Integrate data from multiple disparate and often siloed systems into unified, trusted datasets.
• Conduct data analysis to identify trends, quantify opportunities, benchmark performance, and support decision-making.
• Translate analytical findings into clear recommendations that demonstrate commercial and operational value.
• Collaborate with clients, technology vendors, and project teams to source, validate, and manage data across multiple platforms.
• Perform exploratory analysis to uncover patterns and improvement opportunities within complex datasets.
• Ensure data quality, governance, documentation, and best practices are consistently applied across engagements.
• Develop compelling visualizations and narratives that communicate insights effectively to both technical and non-technical stakeholders.

Your skills and experience

• Degree in a quantitative, data-related, or built environment discipline, or equivalent practical experience.
• 2+ years of experience working with Snowflake and/or Databricks in a professional environment.
• 2+ years of experience utilizing SQL and Python for data analysis, transformation, automation, or engineering.
• Experience applying machine learning and AI techniques to real-world business or operational challenges.
• Familiarity with AI and machine learning tools and frameworks such as scikit-learn, TensorFlow, PyTorch, or cloud-based machine learning services.
• Understanding of large language models (LLMs) and generative AI, including responsible application within analytics and data products.
• Strong judgment regarding when AI-driven solutions provide meaningful value and when simpler approaches are more appropriate.
• Experience designing and developing data pipelines and analytical products from complex, real-world datasets.
• Strong analytical and problem-solving capabilities with attention to detail and commercial awareness.
• Experience working with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
• Proficiency with data visualization tools including Tableau, Power BI, or similar platforms.
• Strong communication skills with the ability to present technical findings to both clients and internal stakeholders.
• Genuine interest in the built environment and the role technology and data play in shaping its future.

What we offer

• Salary range of $85,000 to $115,000. This will be determined based on factors such as geographic location, skills, education, and/or experience
• Generous benefits package
• Annual discretionary bonus
• Generous PTO (4 weeks) in addition to 10 paid holidays
• 401k with company match
• Hybrid working environment & summer hours
• Reimbursement for certain professional licenses and associated renewals and exam fees
• Connection to global network of experts on the forefront of industry initiatives
• Access to wide ranging learning and development opportunities
• A place for everyone
• Opportunities to contribute to employee-led networks and initiatives, including Diversity & Inclusion Forum, Buro Happold Women's Network, Young Employees Forum, and Employee Resource Groups.