Coretek Services

AI-driven Microsoft cloud consultancy and security

AI and Data Consultant Team Lead

Data EngineeringConfirmed live in the last 24 hours

Full-timeRemote in USANo salary listedRemote

About the Job

Requirements

At least 5 years of experience in data engineering, analytics, or AI, including hands-on Microsoft Azure delivery and client-facing consulting work.
Demonstrated experience leading or mentoring consultants, engineers, or contractors, including setting expectations, reviewing work, and addressing delivery concerns.
Strong SQL and practical Python skills, with hands-on experience in at least two platforms such as Microsoft Fabric, Databricks, Azure Synapse Analytics, or Azure SQL.
Experience implementing AI integrations and validating their behavior, with knowledge of data quality, access controls, and secure handling of client information.
Understanding of data lakes, warehouses, pipelines, and analytics, including how prepared datasets support Power BI and AI applications.
Experience with Git, testing, release practices, and technical documentation, and ability to review another team member’s work and provide useful feedback.
Clear client communication, sound estimation, and ability to balance personal delivery commitments with team leadership responsibilities.
Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field, or equivalent practical experience.

Responsibilities

Lead discovery sessions, clarify requirements and acceptance criteria, estimate assigned work, and explain options and delivery tradeoffs to technical and business stakeholders.
Build and improve data pipelines and platforms using SQL, Python, Microsoft Fabric, Azure data services, and Databricks, and deliver tested datasets for analytics and AI use cases.
Integrate Azure AI and Azure OpenAI capabilities into client solutions; test output quality, data handling, and failure behavior before release, working with architects on design decisions.
Apply access controls, data quality checks, and approved security practices; use version control, automated testing, and deployment pipelines to make changes repeatable and reviewable.
Own assigned work through implementation, validation, documentation, and handoff; coordinate with project managers on dates, effort, dependencies, and client acceptance.
Raise risks, blockers, and scope changes before commitments are missed; recommend recovery actions and obtain required approvals before undertaking additional work.
Set clear work expectations for assigned consultants and contractors, confirm owners, deliverables, due dates, and support needs, and follow up until commitments are closed.
Hold regular check-ins, provide specific feedback on technical work, client communication, documentation, and consulting skills, agree development actions, and review progress.
Inspect code, configurations, data pipelines, AI outputs, and project documentation against team standards; arrange peer reviews and confirm findings are corrected.
Review assignments, upcoming demand, and capacity with the Delivery Manager and project managers; identify skill gaps, conflicting priorities, and overloaded resources early.
Help coordinate Coretek and client onboarding, access, delivery expectations, and handoffs; serve as an escalation point for assigned contractors and promptly raise performance or continuity concerns.
Review task status and timesheet completeness regularly; expect early communication when work is at risk, accurate time recording, and consistent adherence to delivery processes.
Organize cross-training, knowledge sharing, and practical enablement; contribute reusable methods and templates, and support candidate assessments and onboarding when requested.
Provide a weekly summary of team delivery, capacity, risks, and quality concerns, including coaching and review work completed, corrective actions, and evidence of improvement.
Work with the Delivery Manager on staffing priorities, development plans, and formal personnel matters; coordinate with project managers on schedules, budgets, scope, and client status. Contractor administrative and commercial decisions remain with designated Coretek owners.
Achieve the 70% billable target while completing planned 30% non-billable leadership work.
Meet agreed acceptance criteria, reduce recurring defects and avoidable rework, and maintain usable documentation.
Demonstrate reliable follow-through, early escalation, completed coaching actions, and improvement in reviewed work.

Desired Qualifications

Experience leading mixed teams of employees and contract resources across multiple client engagements.
Experience with Spark, event-driven data integration, AI evaluation, or operating machine learning solutions in production.
Exposure to Elastic, Tines, infrastructure as code, or automation that improves delivery consistency.
Relevant Microsoft certifications in data engineering, analytics, Azure, or AI.

AI and Data Consultant Team Lead

Coretek Services · United States (Remote) · — · Posted 2026-10-30

Workplace: remote

Department: Consulting

Description

Coretek is seeking an AI & Data Consultant, Team Lead to deliver client solutions and provide day-to-day leadership for consultants and contract delivery resources. You will remain hands-on with Microsoft data and AI technologies while helping the team meet commitments, improve delivery quality, and develop its consulting skills.

The role is allocated 70% to billable client delivery and 30% to non-billable team leadership and practice support. Plan and review this split with the Delivery Manager, using Coretek’s utilization rules. Record time against the work performed. Client-specific work is billable only when authorized within the engagement scope, and internal leadership time must be recorded separately.

Billable Client Delivery

Client engagement: Lead discovery sessions, clarify requirements and acceptance criteria, estimate assigned work, and explain options and delivery tradeoffs to technical and business stakeholders.
Data engineering: Build and improve data pipelines and platforms using SQL, Python, Microsoft Fabric, Azure data services, and Databricks. Deliver tested datasets for analytics and AI use cases.
AI implementation: Integrate Azure AI and Azure OpenAI capabilities into client solutions. Test output quality, data handling, and failure behavior before release, working with architects on design decisions.
Secure delivery: Apply access controls, data quality checks, and approved security practices. Use version control, automated testing, and deployment pipelines to make changes repeatable and reviewable.
Delivery ownership: Own assigned work through implementation, validation, documentation, and handoff. Coordinate with project managers on dates, effort, dependencies, and client acceptance.
Scope and communication: Raise risks, blockers, and scope changes before commitments are missed. Recommend recovery actions and obtain required approvals before undertaking additional work.

Team Leadership and Practice Support

Day-to-day leadership: Set clear work expectations for assigned consultants and contractors. Confirm owners, deliverables, due dates, and support needs, and follow up until commitments are closed.
Coaching: Hold regular check-ins and provide specific feedback on technical work, client communication, documentation, and consulting skills. Agree development actions and review progress.
Quality review: Inspect code, configurations, data pipelines, AI outputs, and project documentation against team standards. Arrange peer reviews and confirm that findings are corrected.
Workload coordination: Review assignments, upcoming demand, and capacity with the Delivery Manager and project managers. Identify skill gaps, conflicting priorities, and overloaded resources early.
Contractor support: Help coordinate Coretek and client onboarding, access, delivery expectations, and handoffs. Serve as an escalation point for assigned contractors and raise performance or continuity concerns promptly.
Operating discipline: Review task status and timesheet completeness regularly. Expect early communication when work is at risk, accurate time recording, and consistent adherence to delivery processes.
Team capability: Organize cross-training, knowledge sharing, and practical enablement. Contribute reusable methods and templates, and support candidate assessments and onboarding when requested.
Inspection and reporting: Provide a weekly summary of team delivery, capacity, risks, and quality concerns. Show the coaching and review work completed, corrective actions, and evidence of improvement.
Work with the Delivery Manager on staffing priorities, development plans, and formal personnel matters. Coordinate with project managers on schedules, budgets, scope, and client status. Contractor administrative and commercial decisions remain with the designated Coretek owners.

How Success Is Measured

Personal utilization: Achieve the 70% billable target while completing the planned 30% non-billable leadership work.
Delivery quality: Meet agreed acceptance criteria, reduce recurring defects and avoidable rework, and maintain usable documentation.
Team performance: Demonstrate reliable follow-through, early escalation, completed coaching actions, and improvement in reviewed work.

Requirements

5+ years of experience in data engineering, analytics, or AI, including hands-on Microsoft Azure delivery and client-facing consulting work.
Demonstrated experience leading or mentoring consultants, engineers, or contractors, including setting expectations, reviewing work, and addressing delivery concerns.
Strong SQL and practical Python skills, with hands-on experience in at least two platforms such as Microsoft Fabric, Databricks, Azure Synapse Analytics, or Azure SQL.
Experience implementing AI integrations and validating their behavior, with knowledge of data quality, access controls, and secure handling of client information.
Understanding of data lakes, warehouses, pipelines, and analytics, including how prepared datasets support Power BI and AI applications.
Experience with Git, testing, release practices, and technical documentation. Ability to review another team member’s work and provide useful feedback.
Clear client communication, sound estimation, and the ability to balance personal delivery commitments with team leadership responsibilities.
Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field, or equivalent practical experience.
Preferred
Experience leading mixed teams of employees and contract resources across multiple client engagements.
Experience with Spark, event-driven data integration, AI evaluation, or operating machine learning solutions in production.
Exposure to Elastic, Tines, infrastructure as code, or automation that improves delivery consistency.
Relevant Microsoft certifications in data engineering, analytics, Azure, or AI.

Why Join Coretek

Client impact: Stay hands-on with data and AI solutions while helping other delivery resources succeed.
Leadership development: Build coaching and team leadership experience with dedicated time allocated to the work.
Technical growth: Work with architects and consultants, contribute shared delivery practices, and develop expertise through training and client projects.

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About the Company

Coretek Services

AI-driven Microsoft cloud consultancy and security

Coretek delivers Microsoft AI Cloud solutions through high-performance consulting, managed services, and security to help businesses tackle complex challenges. Its offerings combine AI-driven innovation with practical cloud services, including implementation, ongoing management, and protection of cloud workloads. The product mix centers on enabling organizations to build, deploy, and secure AI and cloud-based applications on Microsoft platforms. What sets Coretek apart is its specialized focus on Microsoft AI Cloud, integrated services, and end-to-end support—from strategy and design to execution and ongoing security—allowing clients to move from idea to deployed, secure solutions faster. The company’s goal is to help businesses achieve meaningful outcomes by leveraging Microsoft's cloud and AI capabilities to optimize operations, accelerate innovation, and reduce risk.

Company size: 201-500
Company stage: Not listed
Total funding: Not listed
Headquarters: United States
Founded: 2005

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