Director - Solution Architect

3 months ago

Raleigh, NC, USAStaff+

Responsibilities

Lead technical discovery and presales conversations with enterprise prospects seeking data, analytics, and machine-learning solutions.
Translate client challenges into AI roadmaps covering use-case prioritization, data readiness, model design, deployment, and adoption.
Design and present end-to-end architectures for forecasting, optimization, anomaly detection, recommendation, and decision-support use cases.
Develop proof-of-concepts, solution estimates, and technical narratives to support pursuit strategy and deal closure.
Serve as the technical lead in client workshops, explaining model performance, explainability, feature engineering, and operationalization.
Own solutions through delivery and ensure implementations align with architecture, outcomes, and commercial commitments.
Lead cross-functional teams across data engineering, data science, cloud, and business stakeholders.
Create reusable templates, reference architectures, delivery playbooks, case studies, and go-to-market collateral.
Mentor junior architects, data scientists, and analysts on AI solution design and client communication.

12+ years of experience in data, analytics, AI/ML consulting, solution architecture, or enterprise technology delivery.
Experience serving enterprise clients across financial services, retail, manufacturing, healthcare, or industrial industries.
Experience in a client-facing technical role shaping solutions and supporting delivery.
Demonstrated success guiding projects from technical discovery through proposal, implementation, and handoff.
Bachelor’s degree in a related field.
Strong understanding of regression, classification, clustering, forecasting, optimization, and anomaly detection.
Experience with data engineering, feature engineering, model deployment, monitoring, and MLOps practices.
Ability to design solutions across cloud platforms, APIs, data platforms, and analytics stacks.
Working knowledge of model governance, validation, interpretability, and enterprise risk controls.
Excellent executive communication, storytelling, commercial judgment, and cross-functional influencing skills.

United States-based remote work arrangement.
Opportunity to shape enterprise AI adoption and work on high-value business use cases.
Opportunity to define delivery standards and reusable solution patterns.
Global reach, analytics depth, flexible work-life balance, and diverse and inclusive teams.