Sr Enterprise Technical Lead

NM2TECH LLC.; Washington (District of Columbia); On-site; USD 170,000 - 210,000; Full time

Job summary

NM2TECH LLC. seeks a Senior Enterprise Technical Lead with hands‑on expertise in data analytics, visualization, and AI‑driven solutions. You will lead a team of analysts and data scientists while delivering enterprise analytics products.

The role requires deep experience with Tableau, SAS, Python, and AI/ML, plus the ability to actively contribute code and architecture while guiding the team to successful outcomes.

Qualifications

• 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, SAS, Python.

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.

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

Education

Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or related field

Tools

Tableau

SAS

Python

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:

1. oTableau – dashboard development and enterprise visualization
2. oSAS – statistical analysis and large‑scale data processing
3. oPython – 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.

Key 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

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.