Senior Strategy & Business Analytics Architect/Advisor

The PlanIT Group•Chicago, IL

15h•Hybrid

About The Position

The PlanIT Group is looking for a Senior Strategy & Business Analytics Architect/Advisor to join our Technology & Experience Practice; Transaction Services–Data Engineering & Analytics. This role will 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.

Requirements

Master's/Bachelor's 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.
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.

Nice To Haves

Consulting firm/industry or start-up experience preferred.

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 department's 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.