Overview
On Site
USD 175,000.00 - 200,000.00 per year
Full Time
Skills
Data Analysis
Data Lake
Data Integrity
IT Management
Business Acumen
People Management
Recruiting
Onboarding
Training
Performance Management
Team Building
Clarity
Data Architecture
IT Security
Regulatory Compliance
Business Process
Use Cases
Advanced Analytics
Decision-making
Workflow
Embedded Systems
Data Modeling
Performance Tuning
Reporting
Analytical Skill
Computer Science
Data Science
Information Systems
Leadership
Machine Learning (ML)
Microsoft
Management
Communication
Collaboration
Strategic Thinking
Oracle Db
Database
Transact-SQL
Amazon Web Services
Amazon S3
Storage
Microsoft SQL Server DBA
Oracle
Database Administration
Microsoft SSAS
Microsoft SSRS
Microsoft SSIS
SQL
Microsoft SQL Server
Data Migration
Data Warehouse
Snow Flake Schema
Data Quality
Mobile Device Management
Master Data Management
IoT
Analytics
Python
R
Data Engineering
Project Management
Enterprise Resource Planning
Oracle Fusion
Cloud Computing
Primavera
Workday
Microsoft Azure
Business Intelligence
Return On Investment
Artificial Intelligence
Microsoft Power BI
Roadmaps
Health Care
Legal
Insurance
Business Transformation
Law
Job Details
Top Skills' Details
1. Heavy experience in data analytics: currently have access to data but need help building solutions to leverage for data driven insights and business decisions
2. Micosoft Azure experience: leveraging data lake for visulation projects
3. Lead and build team around strategy
Nice to have: AI - Experience of standing up a practice from ground up: they want this person to come in, present AI strategy, and approve. Currently do not have bandwidth and are in VERY initial stages
Description
Position Overview
The Enterprise Director of Data Science & Artificial Intelligence is a senior leadership role responsible for overseeing all enterprise-level data science initiatives and the strategic development of the organization's artificial intelligence capabilities. This includes owning the full data infrastructure stack, ensuring data integrity and security, driving cross-functional collaboration with business units, and leading a team of data and AI professionals. This role blends deep technical leadership with people management, business acumen, and tactical execution.
Key Responsibilities
1. Team & People Management
Directly manage a multidisciplinary team that includes data engineers, data analysts, data scientists, AI professionals, Power BI and Power Platform experts, and business analysts.
Conduct all HR-related responsibilities including hiring, onboarding, training, performance management, and career development.
Prioritize and allocate team resources based on evolving business needs.
Facilitate two tactical stand-up meetings per week and one weekly team-building/communication meeting to promote collaboration and clarity.
2. Data Infrastructure & Security
Oversee the back-end enterprise data architecture and security, with responsibility for managing Microsoft Azure Data Factory and other relevant Microsoft data tools and services.
Ensure data pipelines, transformation workflows, and integration points are secure, scalable, and aligned with business requirements.
Collaborate with IT security and infrastructure teams to maintain compliance and best practices.
3. Artificial Intelligence Oversight
Lead the strategy, adoption, and expansion of the Abacus AI platform.
Supervise the AI Manager and AI Analyst and ensure AI models are integrated effectively into business processes.
Identify new use cases for AI and advanced analytics to enhance decision-making across the enterprise.
4. Power Platform & BI Support
Ensure that the enterprise team includes:
o A Power BI expert with advanced knowledge in data modeling and enterprise reporting.
o A Power Apps developer to support workflow automation and low-code/no-code app development.
o A Business Analyst to bridge data and business needs, gather requirements, and ensure value delivery.
Serve as a point of escalation and support for front-end Power BI developers embedded within business units, particularly for data model access, integration, and performance tuning.
5. Cross-functional Collaboration
Act as the enterprise liaison between IT, business units, and data consumers across departments.
Build and maintain a shared service model where centralized data science and AI support distributed reporting and analytic needs.
Develop and maintain a prioritized roadmap of initiatives with clear ROI and delivery timelines.
Required Qualifications
Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or related field.
8+ years of experience in enterprise data roles, including at least 3 years in a leadership or management capacity.
Strong experience with Microsoft Azure Data Factory and related Azure data services (e.g., Synapse, SQL DB).
Proven experience leading AI/ML initiatives using platforms like Abacus AI or equivalent.
Deep understanding of Power BI, Power Apps, and Microsoft Power Platform ecosystem.
Demonstrated ability to lead cross-functional teams and manage competing priorities.
Excellent communication, collaboration, and strategic thinking skills.
Preferred Technologies
Azure Data Factory
Azure Synapse Analytics
Snowflake, Oracle, DB2, SQL Server
Azure Databases, SQL Managed Instance
PolyBase, T-SQL, AWS S3, Azure ADLS, Azure Storage Account
SQL Server Administration, Oracle DBA
Power Apps, Power Automate
SSAS, SSRS, SSIS, Power BI
Azure Stream Analytics
SQL Development
SQL Server Data Migration
DW Development (Kimballs' methodology and snowflake Immon's methodology)
CDATA Sync, IoT Data
Azure Key Vault, Data Quality, MS DQS, MDM
Azure Iot Hub, Event Hub
Azure Stream Analytics
MS Fabric, Lake House, One Lake, Delta Tables
Python, R
Lambda & Kappa Architecture
Preferred Qualifications
Experience in construction, engineering, or real estate industries.
Certifications in Azure, Data Engineering, or Power Platform.
Experience integrating enterprise data with project management or ERP systems such as Oracle Fusion Cloud, Oracle Primavera, Procore, and Workday.
Skills
Microsoft, azure, business intelligence, data strategy, Microsoft azure data factory, abacus ai
Top Skills Details
Microsoft, azure, business intelligence, data strategy
Additional Skills & Qualifications
Success Metrics
Adoption and reliability of enterprise data platforms.
Business impact and ROI of AI initiatives.
Team engagement, retention, and development.
Responsiveness and support quality for business unit Power BI developers.
Timely execution of roadmap initiatives.
Experience Level
Expert Level
Pay and Benefits
The pay range for this position is $175000.00 - $200000.00/yr.
Health Benefits
Medical
Dental
Vision
Health Savings Account
Healthcare Flexible Spending Account
Health Advocacy Services
Employee Assistance Program
Welfare Benefits
Life and AD&D Insurance
Short and Long-Term Disability
Maternity/Paternity Leave
Supplemental Benefits
Voluntary Life and AD&D
Hospitalization
Accident
Critical Illness
Legal Services
Pet Insurance
Time Off
Paid Vacation
Sick and Bereavement
Paid Holidays
Retirement Benefits
401(k) Savings Plan with Matching and Profit-sharing
Other
Continuing Education Assistance
Workplace Type
This is a fully onsite position in Fort Lauderdale,FL.
Application Deadline
This position is anticipated to close on Jun 24, 2025.
About TEKsystems and TEKsystems Global Services
We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.
The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
1. Heavy experience in data analytics: currently have access to data but need help building solutions to leverage for data driven insights and business decisions
2. Micosoft Azure experience: leveraging data lake for visulation projects
3. Lead and build team around strategy
Nice to have: AI - Experience of standing up a practice from ground up: they want this person to come in, present AI strategy, and approve. Currently do not have bandwidth and are in VERY initial stages
Description
Position Overview
The Enterprise Director of Data Science & Artificial Intelligence is a senior leadership role responsible for overseeing all enterprise-level data science initiatives and the strategic development of the organization's artificial intelligence capabilities. This includes owning the full data infrastructure stack, ensuring data integrity and security, driving cross-functional collaboration with business units, and leading a team of data and AI professionals. This role blends deep technical leadership with people management, business acumen, and tactical execution.
Key Responsibilities
1. Team & People Management
Directly manage a multidisciplinary team that includes data engineers, data analysts, data scientists, AI professionals, Power BI and Power Platform experts, and business analysts.
Conduct all HR-related responsibilities including hiring, onboarding, training, performance management, and career development.
Prioritize and allocate team resources based on evolving business needs.
Facilitate two tactical stand-up meetings per week and one weekly team-building/communication meeting to promote collaboration and clarity.
2. Data Infrastructure & Security
Oversee the back-end enterprise data architecture and security, with responsibility for managing Microsoft Azure Data Factory and other relevant Microsoft data tools and services.
Ensure data pipelines, transformation workflows, and integration points are secure, scalable, and aligned with business requirements.
Collaborate with IT security and infrastructure teams to maintain compliance and best practices.
3. Artificial Intelligence Oversight
Lead the strategy, adoption, and expansion of the Abacus AI platform.
Supervise the AI Manager and AI Analyst and ensure AI models are integrated effectively into business processes.
Identify new use cases for AI and advanced analytics to enhance decision-making across the enterprise.
4. Power Platform & BI Support
Ensure that the enterprise team includes:
o A Power BI expert with advanced knowledge in data modeling and enterprise reporting.
o A Power Apps developer to support workflow automation and low-code/no-code app development.
o A Business Analyst to bridge data and business needs, gather requirements, and ensure value delivery.
Serve as a point of escalation and support for front-end Power BI developers embedded within business units, particularly for data model access, integration, and performance tuning.
5. Cross-functional Collaboration
Act as the enterprise liaison between IT, business units, and data consumers across departments.
Build and maintain a shared service model where centralized data science and AI support distributed reporting and analytic needs.
Develop and maintain a prioritized roadmap of initiatives with clear ROI and delivery timelines.
Required Qualifications
Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or related field.
8+ years of experience in enterprise data roles, including at least 3 years in a leadership or management capacity.
Strong experience with Microsoft Azure Data Factory and related Azure data services (e.g., Synapse, SQL DB).
Proven experience leading AI/ML initiatives using platforms like Abacus AI or equivalent.
Deep understanding of Power BI, Power Apps, and Microsoft Power Platform ecosystem.
Demonstrated ability to lead cross-functional teams and manage competing priorities.
Excellent communication, collaboration, and strategic thinking skills.
Preferred Technologies
Azure Data Factory
Azure Synapse Analytics
Snowflake, Oracle, DB2, SQL Server
Azure Databases, SQL Managed Instance
PolyBase, T-SQL, AWS S3, Azure ADLS, Azure Storage Account
SQL Server Administration, Oracle DBA
Power Apps, Power Automate
SSAS, SSRS, SSIS, Power BI
Azure Stream Analytics
SQL Development
SQL Server Data Migration
DW Development (Kimballs' methodology and snowflake Immon's methodology)
CDATA Sync, IoT Data
Azure Key Vault, Data Quality, MS DQS, MDM
Azure Iot Hub, Event Hub
Azure Stream Analytics
MS Fabric, Lake House, One Lake, Delta Tables
Python, R
Lambda & Kappa Architecture
Preferred Qualifications
Experience in construction, engineering, or real estate industries.
Certifications in Azure, Data Engineering, or Power Platform.
Experience integrating enterprise data with project management or ERP systems such as Oracle Fusion Cloud, Oracle Primavera, Procore, and Workday.
Skills
Microsoft, azure, business intelligence, data strategy, Microsoft azure data factory, abacus ai
Top Skills Details
Microsoft, azure, business intelligence, data strategy
Additional Skills & Qualifications
Success Metrics
Adoption and reliability of enterprise data platforms.
Business impact and ROI of AI initiatives.
Team engagement, retention, and development.
Responsiveness and support quality for business unit Power BI developers.
Timely execution of roadmap initiatives.
Experience Level
Expert Level
Pay and Benefits
The pay range for this position is $175000.00 - $200000.00/yr.
Health Benefits
Medical
Dental
Vision
Health Savings Account
Healthcare Flexible Spending Account
Health Advocacy Services
Employee Assistance Program
Welfare Benefits
Life and AD&D Insurance
Short and Long-Term Disability
Maternity/Paternity Leave
Supplemental Benefits
Voluntary Life and AD&D
Hospitalization
Accident
Critical Illness
Legal Services
Pet Insurance
Time Off
Paid Vacation
Sick and Bereavement
Paid Holidays
Retirement Benefits
401(k) Savings Plan with Matching and Profit-sharing
Other
Continuing Education Assistance
Workplace Type
This is a fully onsite position in Fort Lauderdale,FL.
Application Deadline
This position is anticipated to close on Jun 24, 2025.
About TEKsystems and TEKsystems Global Services
We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.
The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.