Data Analytics Director Position Available In Broward, Florida

Data Analytics Director TEKsystems – 3.8 Fort Lauderdale, FL Job Details Full-time $175,000 – $200,000 a year 1 day ago Benefits Profit sharing Health savings account AD&D insurance Paid holidays Disability insurance Health insurance Dental insurance Flexible spending account Parental leave Employee assistance program Vision insurance 401(k) matching Pet insurance Qualifications Power BI Data modeling Azure Oracle Management Business intelligence Computer Science Data lake

DB2 R ERP

systems Primavera Microsoft SQL Server SSRS Snowflake Master’s degree 8 years SQL AWS Project management Bachelor’s degree Data analytics S3 Construction SSIS Senior level AI Oracle HCM Leadership Communication skills Azure IoT Hub Python ProCore Workday Data Science T-SQL Full Job Description 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.