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Deliver client-facing Data and Analytics consulting solutions, including requirements gathering, solution design, data modeling, ETL, dashboards, reporting, visualization, user acceptance testing, training, and post-production support. Collaborate with project teams and stakeholders to translate complex technical information into business outcomes using cloud, business intelligence, and data warehousing technologies.

Lead client-facing Data and Analytics projects from requirements through delivery. Design data warehouse, business intelligence, analytics, data integration, ETL, and data engineering solutions; lead small to medium teams; mentor junior staff; translate technical concepts for varied audiences; contribute to proposals and business growth; and help improve consulting methodologies and project collateral.

Lead client-facing Data and Analytics consulting projects from requirements through delivery. Design data warehouse, business intelligence, data engineering, and analytics solutions; build data pipelines; implement ETL and data integration; ensure data quality; and lead small to medium teams. Mentor junior consultants, translate technical concepts for varied audiences, contribute to proposals and business development, and help improve consulting methodologies.

Lead advisory engagements that align business goals with data and AI solutions. Advise clients, design and oversee data solutions, manage medium to large projects, review deliverables, develop proposals, support business development, and contribute to thought leadership. The role requires extensive client-facing consulting experience, strong communication and emotional intelligence, technical expertise in data and AI, and mentoring of junior consultants.

Leads Data and Analytics consulting projects from requirements through delivery, designing data warehouse, business intelligence, analytics, data engineering, and ETL solutions. Manages client-facing project teams, translates technical concepts for varied audiences, ensures data quality, contributes to proposals and business growth, and mentors junior consultants. Requires strong consulting, communication, cloud, data modelling, data integration, and Databricks experience.

Principal Consultant leading data and AI advisory engagements, business transformation, client relationships, project delivery, solution development, quality reviews, proposals, thought leadership, and team mentoring. The role requires applying data science and analytics across customer, marketing, digital, and finance functions while translating complex technical concepts for diverse stakeholders. Responsibilities include overseeing medium to large projects, managing delivery risks, building data solutions, advising executives, supporting business development, and enhancing consulting frameworks and offerings.

Lead and deliver large, complex data and analytics projects: design solutions, advise on architecture and data modelling, mentor consultants, ensure governance and security, collaborate with sales, and drive business development and quality across project lifecycles.

Lead and deliver data and analytics projects end-to-end: design data warehouses, BI and ETL solutions, build robust data pipelines, ensure data quality, lead small teams, coach juniors, translate complex requirements for stakeholders, and contribute to proposals and methodology improvements.