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Senior Strategy & Business Analytics ArchitectAdvisor

The PlanIT Group

Job Location:

Chicago, IL - USA

Monthly Salary: Not provided by the employer

Posted: 8 September 2026 (21 hours ago)

Application Deadline: 6 December 2026

Vacancies: 1 Vacancy

Job Summary

The PlanIT Group is looking for a Senior Strategy & Business Analytics Architect/Advisor to join our Technology & Experience Practice; Transaction ServicesData Engineering & Analytics and deliver on technology M&A due diligence projects. The Data Scientist/AI Advisor will partner with other Transaction Services advisors/architects (Cloud Cyber Software Engineering infrastructure) and executive client stakeholders to provide assessment solutions and tech advisory across a variety of industries including Private Equity High-Tech & Software Healthcare and Financial Services. As a technology agnostic firm they will also have the chance to continuously expand their skillset while working with cutting edge tools platforms and frameworks. This is an exciting opportunity to work within our newly formalized (but long existing) technology M&A offering and lead strategic enterprise projects advanced analytics due diligences post-merger integrations and carve-out advisory engagements.
Responsibilities:

Collaborate with cross functional teams Transaction Services consultants from other competencies (i.e. Software Engineering Cloud & Infrastructure Cybersecurity Data & Analytics) in support of holistic tech due diligence assessments for client M&A activity and identify growth and remediation opportunities through analysis of existing data and analytics systems business processes and data monetization opportunities.
Assess underlying technology/libraries/tooling landscape within enterprise organizations to make recommendations to strategic investors on improving market readiness achieving long-term scalability and/or reducing operational cost
Formulate strategic investment summaries key risk mitigation analyses and long-term technology-based strategy for both pre-close and post-close projects
Establish the linkage between business strategy and data strategy (and vice versa) to deliver impactful outcomes
Executive presence with the ability to present interpret and recommend results of work including the development of new concepts major advances in the field new major applications and progress on all product programs.
Be a thought leader create white papers and represent the organization at various industry conferences and events
Provide leadership and mentoring to data engineers/architects/BI analysts and practitioners
Be the visible face of the data engineering/AI team to internal partners external customers and prospects and the data architect community at large
Be a Subject Matter Expert (SME) for the data platform engineering (ingestion through insights) data strategy data modeling initiatives across the departments big data projects.
Keep pulse of the latest development trends in cloud (AWS GCP Azure etc) data platforms (Databricks Snowflake etc) databases (RDBMS SQL NoSQL Oracle etc.) reporting (PowerBI Quicksight etc.) ETL/ELT data warehousing data hubs data lakes data marts etc. and various tools products and use cases.
Expertise in data warehousing approaches (Kimball Inmon) normalized and de-normalized data models including dimensional schemas (star snowflake)
Strong understanding of streaming (e.g. Kafka Kinesis) batch& workflow (e.g. Airflow AWS Glue CTTRL-M) data transport technologies
Experience with Data Visualization tools including PowerBI Tableau Looker etc
Understanding of how AI ties into business operations and value creation providing the strategy to leverage AI.
Drive new business with existing clients by identifying unique opportunities and liaising to appropriate client leads account managers or business developers
Experience in diligence to evaluate data usage identify gaps and propose future use cases for AI.

Qualifications:

Masters/Bachelors Degree in Computer Science Information Systems or equivalent relevant work experience
Minimum 10 years of hands-on professional development experience in data modeling and data design and must have hands on experience implementing solutions
Consulting firm/industry or start-up experience preferred
Experience with the technical programming to access and extract data from diverse sources residing on multiple platforms and implement large sophisticated data models by combining synthesizing and structuring data
Experience performing complex data migration to and from disparate data systems/platforms as well as to/from the cloud (AWS Azure GCP etc.)
Good knowledge of standard concepts best practices and procedures within a data warehousing and Business Intelligence (BI) environment
Provide Points of View (POV) and recommendations for cloud-native industry-leading products along with emerging start-up offerings
including proposal development estimation and day-to-day project management (time tracking budgeting status reporting etc.)
Strong sense of urgency with comfortability delivering solutions in fast-paced dynamic environments
Excellent critical thinking leadership communication and project management skills
Proven success achieving in-year revenue expectations
Willingness to travel for out-of-town client engagements
Hybrid work with two days in office
A commitment to inclusion and diversity and openness to new ideas and perspectives