Manager - Services - Data & AI

SHI International Corp.

4d•$185,000 - $200,000

About The Position

The Data and AI Practice Lead is responsible for leading, scaling, and maturing SHI’s Microsoft Data and AI services practice. This role owns technical direction, delivery excellence, and people leadership across data engineering, analytics, and applied AI solutions. The Practice Lead partners closely with sales, solution architects, and delivery leadership to ensure the practice delivers high impact, secure, and scalable outcomes for enterprise clients using Microsoft technologies. This role manages and mentors Solutions Engineers across data engineering and data visualization while shaping the practice roadmap across Microsoft Fabric, data governance, and intelligent agent development using Copilot Studio and GitHub based pro code frameworks.

Requirements

Expert understanding of modern data and analytics architectures within the Microsoft ecosystem.
Expert ability to lead and scale consultative delivery teams.
Expert capability in securely handling sensitive and regulated data.
Expert relationship management with clients, partners, and internal stakeholders.
Expert ability to oversee complex, multi workstream delivery engagements
Comprehension of the inner workings of a company, including its market positioning, competitive dynamics, and operational processes, to inform decision-making and drive sustainable growth.
The capability to design and implement long-term human resources initiatives that align with the overall business strategy, driving organizational success through effective workforce planning and development.
Ability to oversee and direct projects to completion, ensuring goals are met, resources are utilized efficiently, and stakeholders are satisfied.
Bachelor’s degree in a related technical field or equivalent professional experience.
7 plus years of experience delivering data, analytics, or AI solutions in a consulting or enterprise environment.
3 plus years of experience leading or managing technical delivery teams.
Deep hands on experience with Microsoft Fabric, Azure data services, or comparable modern data platforms.
Ability to work independently and as part of a cross functional leadership team.
Willingness to travel to client sites as required.
Commitment to continuous learning and technical leadership within the Microsoft ecosystem.
Experience designing and delivering solutions with strong data governance and security controls.
Strong understanding of modern analytics, data engineering, and applied AI patterns.
Proven ability to translate business requirements into scalable technical solutions.
Excellent written and verbal communication skills.
Ability to travel 20%

Nice To Haves

Experience building or leading a Data and AI consulting practice.
Experience supporting regulated or public sector clients.
Experience with Copilot Studio, GitHub based development workflows, or intelligent agent solutions.
Microsoft certifications in Data, Analytics, or AI related disciplines.

Responsibilities

Lead the day to day operations of the Data and AI services practice, ensuring consistent, high quality delivery across all engagements.
Define and evolve the technical and delivery standards for Microsoft Data and AI services, including Fabric based Azure Lakehouse architectures, analytics, and applied AI solutions.
Manage, mentor, and develop Solutions Engineers across data engineering and data visualization, fostering a culture of technical excellence, accountability, and continuous learning.
Own practice capability development across Microsoft Fabric, data governance, analytics, and agent based solutions built with Copilot Studio and GitHub.
Partner with sales and solution architecture teams to shape offerings, support presales motions, and ensure delivery readiness for complex Data and AI engagements.
Ensure solutions are designed and delivered with strong security, governance, and compliance controls aligned to client and regulatory requirements.
Monitor delivery performance, utilization, and quality metrics to identify improvement opportunities and drive practice health.
Lead the creation and maintenance of reusable architectures, delivery frameworks, templates, and accelerators across the Data and AI practice.
Act as a technical escalation point for complex client challenges related to data platforms, analytics, and applied AI solutions.
Build strong relationships with key clients and stakeholders, serving as a trusted advisor for Microsoft Data and AI strategy and execution.
Stay current on Microsoft Data and AI platform evolution and translate platform capabilities into practical, deliverable services.