Description
Job Summary:
With a global network serving clients across multiple industries and countries, our analytics game changers are poised for widespread technological impact. Our industry-recognized team is in high demand across data analytics, robotic process automation, and artificial intelligence. We gravitate towards bright individuals who value impactful change, worldly purpose, and a personal connection with diverse innovators. This role empowers you to lead teams of talented consultants, requiring you to balance innovation with pragmatic client expectation management. With our team, you will be challenged to build scalable solutions, while embracing a fail-forward mentality critical to evolution. Whether you’re telling a data story in ways our clients never imagined or building advanced AI models with automated data engineering, the core purpose will be centered on using data to impact people in a meaningful way.
This position will work with cutting edge technology, deliver high quality solutions across various industries, and oversee team(s) on engagements that range in size and scope. This role will assess business processes and identify areas of application for RPA technologies, as well as architect, design, develop, and deploy software robots, or bots, to work alongside humans to enhance business process efficiency. This position will receive continuous career development opportunities, given the size and potential of client engagements. This role will perform hands-on delivery and management of data analytics projects with focus on process automation, overseeing the development and unit testing of solutions (note that this position will also require design of architecture and development of critical components where needed). This position will ultimately own consulting relationships across multiple clients and technologies.
Job Duties:
Hands On Delivery Responsibilities:
Architects, designs, and implements best in class automation (RPA) solutions, data ingestion strategies, data warehouse and data mart structures, semantic layers and models, visualizations, streaming processes, and API integrations for end-to-end data analytics solutions on primarily, but not limited to, cloud analytics platforms such as Azure and AWS
Oversees overall quality and accurate implementation of deliverables from the technical team
Listens to client needs to align solution with business requirements and delivery schedule
Creates written functional, architectural, and technical designs
Leads project status and stand meetings, and provides aggregated project status for project and program managers
Leads SLA compliance of solutions, and owns performance tuning and optimization efforts of end-to-end solutions
Prepares solution design documents and develops framework for automating scripting-based processes
Creates reusable workflows and library components to reduce the development time and increase maintainability
Delivers high-performance, scalable, repeatable, and secure deliverables with broad impact (high throughput and low latency)
Defines and implements governance programs and best practices
Oversees or executes the cleaning and transforming of data from source systems into analytics models
Designs models to support data visualizations and integrations is preferred
Establishes DevOps, DataOps and MLOps methodologies on projects
Assists project managers with work breakdown structure creation, project estimation, resource staffing, workload planning and adjustments throughout the project lifecycle
Assists clients with licensing, security, and cost estimation of solutions
Oversees or performs code reviews to ensure adherence to standards
Works directly with clients and team members to establish secure data analytics platforms and infrastructure
Deploys successful developed solutions and integration of DevOps tools
Maintains a broad and current understanding of process automation, data analytics and business intelligence strategies, cloud platforms, methodologies, and tools
Manages and builds client relationships during project execution, effectively becoming a trusted advisor of the client
Participates in support activities for existing software solutions
Works with the Data & AI team to perform pre-sales engineering and scoping exercises to assist with closing new opportunities
Other duties as assigned
Supervisory Responsibilities:
Manages practice delivery standards and recommends updates to best practices
Technically leads developers within projects to ensure that timelines and deliverables are met
Responsible for project delivery to ensure that timelines and deliverables are met
Manages client expectations throughout solution implementation
Performs code reviews of staff and ensures adherence to standards
Mentors project team members on best practices, techniques, and tools
Evaluates the performance of assigned team, and assists in the development of goals and objectives to enhance professional development
Qualifications, Knowledge, Skills and Abilities:
Education:
High School Diploma or GED equivalent, required
Bachelor’s degree, preferred; focus in Information Systems, Data Science or Computer Science, preferred
Experience:
Eight (8) or more years of experience within Process Automation, Data Analytics, Business Intelligence, Artificial Intelligence, Application Development, required
Eight (8) or more years of experience leading teams and coaching meetings, required
Eight (8) or more years knowledge of the software development life cycle and ability to demonstrate success leading multiple project teams to completion while mitigating risks, required
Four (4) or more years of experience with RPA, automation, Power Automate, or UiPath Development, required
Hands-on work-related experience in designing, delivering, and managing automation solutions, required
License/Certifications:
UiPath certified developer, preferred
Power Automate certified developer, preferred
Azure Fundamentals, preferred
Software:
Experience with four (4) or more of the following, required:
UiPath Platform
Studio
Orchestrator
Microsoft Power Platform
Power Automate
Power Apps
AI Builder
Automation Anywhere
Generative AI
Large Language Models
AI Agents
Alteryx
Experience with .NET development tools
Experience with other non-Microsoft development languages or tools
Strong SQL skills including Data Definition Language (DDL), Data Manipulation Language (DML), views, functions, stored procedures, and performance tuning, required
Experience with one (1) or more of the following computer languages, required:
C#
VB
Java
Python
Experience with Data Warehousing, Data Modeling, Semantic Model Definition or Star Schema Construction, preferred
Hands on delivery experience of end-to-end cloud data analytics solutions within Azure or AWS, preferred
Experience with Git and DevOps deployment technologies, preferred
Experience with Linux, preferred
Experience with one (1) or more of the following, preferred:
AI Algorithms/Machine Learning
IoT and/or streaming data ingestion tools
Computer Vision based AI technologies
Other Knowledge, Skills & Abilities:
Strong project management and client relationship management skills
Ability to work with a high degree of professionalism and autonomy
Excellent verbal and written communication skills
Solid organizational skills, especially the ability to meet project deadlines with a focus on details
Ability to successfully multi-task while working independently or within a group environment
Ability to work in a deadline-driven environment, and handle multiple projects simultaneously
Able to interact effectively with people at all organizational levels of the Firm
Able to effectively manage a team of professionals and delegating work assignments, as needed
Build and maintain strong relationships with internal and client personnel
Ability to encourage a team environment on engagements, and contribute to the professional development of assigned personnel
Executive presence, with the ability to act as primary contact on assigned engagements
Keywords: Data Analytics, Business Intelligence, BI, Solution Architect, Data Architect, Synapse, IoT, Machine Learning, Data Lake, Microsoft, SQL Server, .Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture
Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate’s qualifications, experience, skills, and geography.
Illinois Range: $145,000 - $195,000