Simplify Recruiting
Vice President – Data Analytics Practice
Simplify Recruiting, Chicago, Illinois, United States
Vice President – Data Analytics Practice
Location:
Midwest
Employment Type:
Contract to hire
Position Overview We are seeking a visionary Vice President – Data Analytics Practice to shape the future of data-driven and AI-augmented enterprise solutions. This role blends deep technical expertise in analytics, BI platforms, data engineering, cloud ecosystems, and applied AI/ML with strong leadership in Pre-sales and Solution Design for Enterprise Digital Transformation.
The ideal candidate is a seasoned leader who can define enterprise-wide analytics strategies, drive the adoption of modern data platforms, and transform raw data into actionable insights—leveraging both traditional BI and advanced AI-driven analytics to accelerate business growth.
Key Responsibilities
Build and Scale the Data Analytics Practice
– Establish standardized frameworks, methodologies, and best practices to deliver consistent, high-quality analytics and AI-powered insights.
Strategic Alignment and Leadership
– Define the analytics and AI roadmap aligned to business goals. Contribute to thought leadership through industry forums, whitepapers, and marketing narratives showcasing Airo’s analytics expertise.
Enterprise Strategy
– Advise C-level stakeholders on analytics adoption, data modernization, AI-enabled decision intelligence, and scalable enterprise architectures. Champion a customer-first mindset by incorporating client feedback into product and service evolution. Establish KPIs to measure the business impact of analytics and AI initiatives.
Proof of Concept (POC) and Proof of Value (POV)
– Design and deliver POCs/POVs that highlight the business value of data analytics and AI/ML-driven insights. Provide expertise on data ethics, governance, and compliance.
Cross-Functional Collaboration
– Partner with Sales, Pre-sales, Data, Infrastructure, and Business units to ensure analytics solutions (BI + AI/ML) directly support client objectives.
Pre-Sales Leadership
– Lead pre-sales engagements, architect custom solutions, respond to RFPs, and deliver persuasive client presentations.
Practice Development
– Build and lead the Analytics Architecture practice, defining governance, best practices, and modern strategies to drive enterprise-wide adoption of analytics and AI insights.
Key Qualifications
15+ years in data analytics, business intelligence, AI/ML, and enterprise data strategy.
Deep knowledge of analytics and AI platforms (Power BI, Tableau, Qlik, Looker, Databricks, Snowflake, AWS/Azure/GCP analytics/ML services).
Architectural Leadership
– Proven success designing and deploying secure, scalable, and cost-optimized analytics platforms, blending BI and AI-driven insights.
Data & Infrastructure Expertise
– Strong experience in data lakes/warehouses, ETL/ELT pipelines, MLOps for analytics, and predictive/prescriptive modeling.
Expertise in data governance, data quality, compliance, and ethical AI frameworks.
Exceptional leadership, communication, and mentorship skills, with a track record of building and scaling analytics and AI teams.
#J-18808-Ljbffr
Midwest
Employment Type:
Contract to hire
Position Overview We are seeking a visionary Vice President – Data Analytics Practice to shape the future of data-driven and AI-augmented enterprise solutions. This role blends deep technical expertise in analytics, BI platforms, data engineering, cloud ecosystems, and applied AI/ML with strong leadership in Pre-sales and Solution Design for Enterprise Digital Transformation.
The ideal candidate is a seasoned leader who can define enterprise-wide analytics strategies, drive the adoption of modern data platforms, and transform raw data into actionable insights—leveraging both traditional BI and advanced AI-driven analytics to accelerate business growth.
Key Responsibilities
Build and Scale the Data Analytics Practice
– Establish standardized frameworks, methodologies, and best practices to deliver consistent, high-quality analytics and AI-powered insights.
Strategic Alignment and Leadership
– Define the analytics and AI roadmap aligned to business goals. Contribute to thought leadership through industry forums, whitepapers, and marketing narratives showcasing Airo’s analytics expertise.
Enterprise Strategy
– Advise C-level stakeholders on analytics adoption, data modernization, AI-enabled decision intelligence, and scalable enterprise architectures. Champion a customer-first mindset by incorporating client feedback into product and service evolution. Establish KPIs to measure the business impact of analytics and AI initiatives.
Proof of Concept (POC) and Proof of Value (POV)
– Design and deliver POCs/POVs that highlight the business value of data analytics and AI/ML-driven insights. Provide expertise on data ethics, governance, and compliance.
Cross-Functional Collaboration
– Partner with Sales, Pre-sales, Data, Infrastructure, and Business units to ensure analytics solutions (BI + AI/ML) directly support client objectives.
Pre-Sales Leadership
– Lead pre-sales engagements, architect custom solutions, respond to RFPs, and deliver persuasive client presentations.
Practice Development
– Build and lead the Analytics Architecture practice, defining governance, best practices, and modern strategies to drive enterprise-wide adoption of analytics and AI insights.
Key Qualifications
15+ years in data analytics, business intelligence, AI/ML, and enterprise data strategy.
Deep knowledge of analytics and AI platforms (Power BI, Tableau, Qlik, Looker, Databricks, Snowflake, AWS/Azure/GCP analytics/ML services).
Architectural Leadership
– Proven success designing and deploying secure, scalable, and cost-optimized analytics platforms, blending BI and AI-driven insights.
Data & Infrastructure Expertise
– Strong experience in data lakes/warehouses, ETL/ELT pipelines, MLOps for analytics, and predictive/prescriptive modeling.
Expertise in data governance, data quality, compliance, and ethical AI frameworks.
Exceptional leadership, communication, and mentorship skills, with a track record of building and scaling analytics and AI teams.
#J-18808-Ljbffr