Sr Enterprise Technical Lead
Listed on 2026-10-17
-
IT/Tech
Data Analyst, Data Engineering, Data Scientist, AI Engineer (Applied/Software)
NM2
TECH 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 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:
- · 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.
- · 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.
Skills:
- · Advanced Analytics & Data Science
- · AI / Machine Learning Development
- · Statistical Modeling (SAS)
- · Python Programming for Data Science
- · Enterprise Data Architecture
- · Technical Leadership & Mentoring
- · Data Visualization & Storytelling
- · 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.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).