Principal Management Consultant

Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy solutions for natural and built assets.We are more than 36,000 people, in over 70 countries, dedicated to improving quality of life. Everyone has an important role to play. With the power of many curious minds, together we can solve the world’s most complex challenges and deliver more impact together.Role DescriptionArcadis is seeking a Principal Management Consultant to help scale and deliver its growing digital analytics portfolio by providing a clear architectural vision across data platforms, analytics, and enterprise systems. This role is critical to ensuring that digital solutions are scalable, secure, and aligned with client business needs, while enabling consistent data governance and accelerating value realization across complex utility environments.The Principal Management Consultant is responsible for defining, governing, and evolving the enterprise‑wide data and analytics architecture that enables secure, trusted, and scalable use of data across the organization. This role provides architectural leadership across data platforms, integrations, analytics, and governance, with a strong focus on supporting operational, regulatory, and strategic decision‑making for clients in the utility sector. This role will partner closely with business leaders, IT, and analytics teams to align data strategy with enterprise objectives, modernize legacy environments, and enable advanced analytics use cases such as AMI, asset management, customer operations, and regulatory reporting. We are location agnostic for this position. Role Accountabilities Enterprise Data Architecture & StrategyProvide leadership in defining and recommending enterprise data and analytics architectures, including conceptual, logical, and physical data models. Establish architectural standards and design patterns for data ingestion, integration, storage, analytics, and visualization. Develop and maintain enterprise roadmaps for data platforms and emerging technologies, ensuring strong alignment between business strategy, data strategy, and technology investments.Analytics Platforms & Cloud ArchitectureLead the architecture and design of modern analytics platforms, including cloud‑based solutions such as Azure, Microsoft Fabric, enterprise data warehouses, and BI tools. Guide the development of scalable and efficient ETL/ELT pipelines, data lakes, and analytics environments while ensuring performance, reliability, security, and cost optimization. Support the adoption of self‑service analytics capabilities while maintaining appropriate enterprise governance.Data Governance & Information ManagementPartner closely with business and IT stakeholders to define and implement enterprise data governance frameworks. Establish standards and approaches for data quality, metadata management, master and reference data, and data lifecycle management. Support data cataloging, lineage, and stewardship initiatives while ensuring compliance with regulatory, security, and privacy requirements relevant to utilities.Integration & Systems ArchitectureDesign and document enterprise data flows across key operational systems such as AMI, CIS, ERP, CMMS, SCADA, and GIS. Promote consistent integration patterns and interoperability across vendor and in‑house solutions. Lead architectural reviews and provide recommendations for new systems, enhancements, and third‑party technology platforms.Stakeholder Engagement & LeadershipServe as a trusted advisor to executive leadership, program managers, and business stakeholders by translating complex technical concepts into clear, actionable guidance. Mentor solution architects and technical teams, promoting best practices in enterprise architecture. Act as a subject matter expert to support client engagements, pursuits, and proposal development in enterprise data and analytics.Key AttributesThe ideal candidate will be a strategic thinker with a pragmatic, implementation-focused mindset. Strong communication skills with the capability of influencing at executive and technical levels will be important. The candidate will need to be comfortable navigating ambiguity and driving alignment across organizations. You will need to have a passion for enabling data-driven decision-making in mission-critical utility environments. We will also need this candidate to mentor, develop, and manage technical teams. Qualifications & ExperienceRequired QualificationsBachelor’s degree in Engineering, Computer Science, Information Systems, or related field10+ years of experience in enterprise architecture, data architecture, or analytics architecture rolesDemonstrated experience designing and implementing enterprise data and analytics platformsFamiliarity with architecture frameworks such as TOGAF, UAF.Strong understanding of data modeling, data integration, analytics, and BI architecturesExperience with cloud platforms and modern data ecosystems (Azure