Senior Director Analytics & Apps Practice (5733)

SMX•Herndon, VA

8h•$191,700 - $280,800

About The Position

The Analytics & Applications Practice Leader builds SMX’s capability to turn agency data into decisions and modernize the applications mission users rely on. The role determines where SMX will differentiate its offerings and owns the offering, talent bench, and financial results for analytics and application work across the ESS Business Unit. It also connects ERP practices to the data and AI layer above them. The leader sets the practice’s strategic vision, operating approach, metrics, market positioning, portfolio, delivery methodology, and quality standards. The position oversees hiring and development, capacity and succession planning, project delivery, financial performance, and executive escalation. It works with growth, product engineering, Solutions & Innovations, other business units, and executive leadership to develop offerings and repeatable assets, including data platform architectures, reusable AI patterns, CX research and design methods, and application modernization playbooks. The portfolio spans data engineering and platforms, enterprise analytics and business intelligence, applied AI/ML and generative AI, custom and low-code application development, and customer experience and digital services. The leader also builds cross-practice offerings with SAP and Oracle portfolios, such as ERP analytics, AI applied to financial and supply-chain data, and modern front ends for ERP systems. Employee development focuses on data engineers, data scientists, full-stack and low-code developers, and CX/UX designers, with pathways to cleared work. The position requires an active Secret clearance or the ability to obtain one. The proposed salary range is $191,700–$280,800 USD. SMX offers health insurance, paid leave, retirement, and learning and development opportunities. Selected applicants may be subject to a background investigation and/or education verification. SMX does not sponsor employment authorization or immigration-related support for this position.

Requirements

15+ years of experience in data, analytics, or application development.
7+ years leading programs or a practice of 50+ people.
Experience delivering enterprise data platforms, analytics, or AI solutions in production for large organizations.
Track record of winning and growing federal analytics, AI, or application modernization work.
Working knowledge of federal data and AI policy, security (including FedRAMP and ATO), and agile/DevSecOps delivery.
Experience owning revenue and margin for a business line.
Active Secret clearance or ability to obtain one.
Bachelor’s degree in a technical field required.

Nice To Haves

Experience building a CX or digital service practice under federal CX priorities.
Experience productizing services into reusable solutions or accelerators.
Graduate degree preferred.

Responsibilities

Determine the strategic vision, operational execution, and key performance metrics for the Analytics & Apps line of business, including market analysis, product-development input, delivery methodology and quality, and skills and resource planning.
Hire, develop, and manage the capacity, careers, and succession of resources supporting Analytics & Apps services and projects.
Own the practice’s P&L and delivery quality; lead practice directors and establish methodology, governance, quality assurance, and executive escalation standards.
Set metrics and manage revenue, margin, utilization, forecasting, budget, and project pricing approvals across the Analytics & Apps line of business.
Define market positioning, offerings, and pipeline in conjunction with growth and product engineering divisions.
Define the ESS Business Unit portfolio across data engineering and platforms, enterprise analytics and BI, applied AI/ML and generative AI, custom and low-code application development, and CX and digital services.
Lead ESS Business Unit cross-functional teams and manage stakeholders across business units and executive leadership.
Build cross-practice offerings with SAP and Oracle portfolios, including ERP analytics, AI on financial and supply-chain data, and modern front ends for ERP back ends.
Coordinate with Solutions & Innovations to build and package repeatable assets, including data platform reference architectures, reusable AI patterns, CX research and design methods, and application modernization playbooks.
Focus employee development on data engineers, data scientists, full-stack and low-code developers, and CX/UX designers, with a path to cleared staff.