Data And Analytics Architect

Data & Analytics Architect

Department of Innovation and Technology
, City of Worcester

The City of Worcester is seeking qualified applicants for a Data & Analytics Architect in the Innovation and Technology Department. Under the direction of the GIS Manager, this position plays a pivotal role in enabling data‑driven decision‑making across the organization by combining the analytical rigor of a data scientist with the strategic foresight of a data architect. The Data and Analytics Architect will design and implement data models, develop predictive analytics, and ensure the integrity, accessibility, and security of enterprise data assets.

This role supports the City’s mission by transforming data into actionable insights that improve public services, operational efficiency, and policy outcomes.

Bilingual applicants are encouraged to apply.

• Collaborate with departments to define data strategies, metrics, and governance frameworks.
• Develop and maintain enterprise data architecture at conceptual, logical, and application levels.
• Establish and enforce data quality, metadata, and data stewardship standards.
• Contribute to the development of data management policies, including privacy, compliance, and retention.
• Contribute to the development of AI policies and assessments.
• Design and implement data models to support enterprise applications and reporting needs.
• Develop and deploy statistical models, machine-learning algorithms, and data mining techniques.
• Analyze large, complex datasets to identify trends, patterns, and actionable insights.
• Create dashboards and visualizations to communicate findings to technical and non-technical stakeholders.
• Maintain a strong understanding and awareness of large language models and artificial intelligence tools, as well as their ability to support City priorities.
• Support the integration of data across systems (e.g., ERP, CRM, GIS) to ensure consistency and usability.
• Collaborate with IT teams to implement data pipelines, APIs, and ETL processes.
• Collaborate with IT teams to implement integrations with large language and AI platforms.
• Evaluate and recommend tools, platforms, and technologies for data storage, processing, and analysis.
• Monitor and improve data architecture performance, scalability, and reliability.
• Provide guidance to IT staff and business users around approved AI tools, their effective use, and compliance with policy.
• Provide technical guidance to analysts and developers on data best practices.
• Document data flows, models, and architecture to maintain transparency and continuity.
• Participate in disaster recovery planning and ensure data backup and business continuity protocols are in place.

• Proficiency in SQL, Python, or R.
• Familiarity with relational and No
  
  SQL databases.
• Understanding of data governance, metadata management, and data lifecycle practices.
• Familiarity with cloud platforms (Azure, AWS) and big data frameworks (Hadoop, Spark).
• Ability to integrate data across systems (ERP, CRM, GIS, AI platforms).
• Experience designing and implementing data models.
• Experience with data visualization tools (e.g., Power BI, Tableau).
• Experience developing enterprise data strategies and governance frameworks.
• Experience supporting AI policy development and implementing AI tools.
• Strong problem‑solving skills, with the ability to diagnose complex data, integration, or platform issues.
• Ability to optimize systems for performance, reliability, and cost efficiency across the data lifecycle.
• Ability to work independently and part of a team in a fast‑paced environment.
• Ability to prioritize and execute tasks in high‑pressure environments.
• Proven analytical and problem‑solving abilities.
• Strong written, oral, and interpersonal communication skills.
• Ability to present technical concepts in business‑friendly language.
• Highly self‑motivated, detail‑oriented, and collaborative.
• Adheres to confidentiality requirements and data protection standards.
• Regular onsite attendance is required.

• Bachelor’s degree in computer science, data science, information systems, statistics, or a related field; OR
• Any equivalent combination of…