Senior Enterprise Technical Lead
About The Position
Onyx Government Service is seeking a Senior Enterprise Technical Lead who is a hands-on expert in data analytics, visualization, and AI-driven solutions. This role requires a strong technical leader who actively contributes to development while guiding a team of analysts and data scientists. The ideal candidate will have deep experience in Tableau, SAS, Python, and Artificial Intelligence / Machine Learning, and will play a key role in designing and delivering enterprise-scale analytics solutions. This is a working lead role, requiring both technical execution and team leadership. The ideal candidate will have an active BI or NACLC Public Trust security clearance, be a confident leader experienced in performing day-to-day tasks, a critical thinker and self-starter who takes ownership of assignments Previous consulting experience using an agile delivery methodology is a plus.
Requirements
- Security Clearance: Must CURRENTLY possess active BI or NACLC Public Trust security clearance
- Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or related field.
- 8+ years of hands-on experience in analytics, data science, or business intelligence.
- 2–4 years of technical leadership experience in analytics or data science teams.
- Strong hands-on expertise in: Tableau – dashboard development and enterprise visualization SAS – statistical analysis and large-scale data processing Python – data analysis, automation, and machine learning
- Experience building AI / Machine Learning models for real-world business applications.
- Strong SQL and data warehousing knowledge.
- Experience working with large enterprise datasets and complex analytics environments.
- Experience in a matrix structure and communicating with technical and non-technical people.
- Ability to develop and deliver presentations that simplify complex solutions/insights for non-technical audience a must
- Excellent innovation, interpersonal, and communication skills required.
Nice To Haves
- Experience with cloud data platforms (AWS, Azure, or GCP).
- Familiarity with data engineering pipelines and ETL frameworks.
- Experience in integrating AI solutions into enterprise analytics platforms.
- Exposure to Agile development environments.
Responsibilities
- Lead the design, development, and deployment of enterprise analytics solutions to support strategic business decision-making.
- Serve as a hands-on technical lead, actively developing dashboards, analytics models, and data solutions.
- Build and maintain interactive dashboards and reporting solutions using Tableau to deliver actionable insights.
- Perform advanced data analysis, statistical modeling, and data processing using SAS and Python.
- Develop and implement AI and machine learning models for predictive analytics, forecasting, and business optimization.
- Write and optimize Python scripts and analytics workflows for data transformation, automation, and model development.
- Collaborate with business stakeholders, product teams, and data engineers to translate business requirements into scalable analytics solutions.
- Conduct code reviews and provide technical mentorship to analysts and data scientists.
- Ensure data quality, governance, and best practices in analytics development and reporting.
- Design and optimize data models, queries, and datasets to support high-performance analytics and visualization.
- Communicate complex analytical findings and recommendations to technical and non-technical stakeholders.
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What This Job Offers
Career Level
Mid Level
