Sr Enterprise Technical Lead (Washington)

Job Description

NM2TECH 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:

o Tableau – dashboard development and enterprise visualization

o SAS – statistical analysis and large-scale data processing

o 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.

Preferred Qualifications:

· 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.

Key Skills:

· Advanced Analytics & Data Science

· AI / Machine Learning Development

· Tableau Dashboard Engineering

· Statistical Modeling (SAS)

· Python Programming for Data Science

· Enterprise Data Architecture

· Technical Leadership & Mentoring

· Data Visualization & Storytelling

Key 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.