3Cloud

Artificial Intelligence

• Lead the Advisory Business
• Define and execute the multiyear strategy for the Advisory service line.
• Establish the operating model, investment priorities, annual objectives, and management cadence for the business.
• Integrate the four advisory disciplines into one cohesive, market-facing organization.
• Determine where the practice will invest, differentiate, scale, or rationalize its capabilities.
• Balance near-term commercial performance with long-term capability development.
• Lead the 3Cloud AI Agenda
• Define the enterprise vision and business purpose of 3Cloud AI.
• Translate the company’s AI strategy into clear internal priorities and market-facing value propositions.
• Establish priorities for AI-enabled offerings, internal enablement, executive messaging, and go-to-market activation.
• Coordinate AI initiatives across Advisory, Data and AI, Sales, Architecture, Delivery, and Operations.
• Help executive clients address AI strategy, operating models, governance, use-case prioritization, adoption, and value realization.
• Ensure AI initiatives are grounded in measurable business outcomes rather than technology experimentation alone.
• Drive Growth and Commercial Performance
• Own Advisory performance across bookings, revenue, margin, pipeline quality, and forecast accuracy.
• Sponsor major pursuits, strategic proposals, and priority-account growth initiatives.
• Expand executive relationships and position 3Cloud as a trusted transformation advisor.
• Improve the creation, qualification, and conversion of advisory-led opportunities.
• Increase downstream revenue influenced by Advisory and AI-led engagements.
• Align market messaging with the firm’s actual capabilities and delivery strengths.
• Build a Differentiated Offering Portfolio
• Define a clear portfolio of entry-point diagnostics, strategic advisory offerings, and transformation programs.
• Ensure offerings are differentiated, commercially viable, repeatable, and aligned with market demand.
• Strengthen the connection between advisory offerings and downstream implementation or managed-services opportunities.
• Oversee the development of reusable methodologies, frameworks, accelerators, and intellectual property.
• Rationalize offerings that lack market relevance, scalability, differentiation, or economic value.
• Embed AI into the portfolio where it meaningfully strengthens client outcomes and competitive positioning.
• Develop the Leadership Team and Organization
• Lead, coach, and develop the Advisory leadership team.
• Establish clear expectations for vice presidents, senior directors, directors, and other practice leaders.
• Build organizational depth and reduce reliance on a small number of individual leaders.
• Assess succession risk and develop a strong internal leadership pipeline.
• Oversee hiring, performance management, development, promotion, and leadership deployment.
• Foster a culture of accountability, collaboration, quality, inclusion, innovation, and measurable client impact.
• Create Cross-Functional Alignment
• Partner with Sales to shape account strategies, pursuits, executive entry points, and growth priorities.
• Partner with Architecture and Solutions to strengthen the transition from strategic advisory into solution definition.
• Partner with Delivery to improve scope realism, engagement handoffs, transformation continuity, and execution quality.
• Partner with Data and AI leaders to align AI strategy, market messaging, technical capability, and client delivery.
• Partner with Operations to improve forecasting, staffing, governance, performance reporting, and business discipline.
• Resolve organizational friction that inhibits growth, execution quality, or client outcomes.
• Establish Governance and Operating Discipline
• Implement scalable operating reviews, portfolio governance, and performance-management processes.
• Define and monitor key performance indicators across financial performance, client impact, talent, practice maturity, and AI activation.
• Monitor portfolio quality, staffing effectiveness, utilization, client satisfaction, and systemic execution risk.
• Take corrective action when growth, quality, talent, or operating effectiveness is off track.
• Build the systems and management mechanisms required to scale without creating unnecessary bureaucracy.

Head of Advisory, AI

Client Services Representative

• Lead solution architecture and technical strategy for large-scale Azure modernization programs from presales through delivery.
• Own the solution definition process, ensuring architectures meet client needs, align to standards, and support delivery quality.
• Develop and promote reusable frameworks and reference architectures to drive delivery consistency across projects.
• Mentor architects and engineering teams, fostering growth, technical rigor, and alignment to delivery excellence.
• Provide architecture oversight through design reviews and technical leadership, ensuring alignment with client goals.
• Support presales efforts by partnering with account teams to shape solution strategies, define technical scope, and contribute to proposals.
• Identify cross-project patterns to inform the development of shared IP, tooling, and process improvements.
• Manage workload and commitments to achieve utilization and sales targets through effective prioritization and execution.

Senior Architect – Client Services

Project Manager

• Own delivery across multiple concurrent engagements or workstreams.
• Ensure consistency in delivery execution and reporting across teams.
• Manage cross-team dependencies, risks, and escalations to keep delivery on track.
• Assess parallel or competing change initiatives that may cause change saturation, and develop strategies to minimize delivery risk.
• Mentor Lead Project Managers and delivery teams on delivery practices and client engagement.
• Model servant leadership and provide frequent, honest feedback that helps team members grow.
• Assess and apply appropriate delivery methodologies (Agile, Waterfall, hybrid) based on engagement context.
• Provide strategic, consultative guidance to clients, leveraging industry experience and best practices to help them achieve their business objectives.
• Advocate for clients internally, ensuring their needs and concerns are addressed effectively by cross-functional teams such as sales, operations, and support.

Delivery Manager – Project Delivery

Data Engineer

• Maintain a clear view of each team member's delivery commitments, growth plans, and internal contributions.
• Develop and grow team members through regular coaching, clear expectations, and constructive feedback. Build a culture of trust, inclusion, and collaboration.
• Monitor team health, morale, and workload balance, acting early to address engagement or performance concerns in partnership with practice leadership.
• Maintain regular one-to-one connections with each team member, provide clear feedback, and help them remove blockers related to client work, pursuits, or internal initiatives.
• Oversee staffing and resource alignment across teams, balancing utilization, development goals, client needs, and sustainable workloads.
• Communicate practice priorities and organizational objectives clearly, ensuring teams understand how their work contributes to broader organizational goals.
• Define interview standards and mentorship strategies, training others to apply them consistently and improving hiring outcomes and talent growth at scale.
• Create and maintain development plans for team members, including stretch assignments, shadowing, certifications, and opportunities for external visibility.
• Lead or support performance reviews, promotion recommendations, and compensation input for your teams, using consistent standards that reflect both impact and behavior.
• Represent your teams in leadership forums, communicate expectations and decisions clearly back to the group, and bring forward patterns, risks, and successes that should shape practice strategy.
• Lead architecture and technical strategy for large Azure programs and portfolios so solutions meet client goals for value, security, scalability, reliability, performance, and cost.
• Define modernization blueprints and reference architectures across applications, platforms, and data, including system and subsystem designs, patterns, and standards that simplify delivery and operations over time.
• Translate business and product strategy into cloud architecture roadmaps and execution plans that drive measurable outcomes and adapt based on production feedback and telemetry.
• Guide major architecture decisions across programs, promote shared design standards and reusable models, and resolve high-impact technical trade-offs.
• Work across teams to connect solutions into cohesive end-to-end architectures with clear ownership boundaries and integration contracts.
• Provide architectural oversight during delivery through design reviews, forums, and governance, keeping cross-cutting concerns (security, performance, resilience, availability, compliance, observability, and cost) aligned across teams.
• Promote modular design, clear boundaries, testability, CI/CD, and observability so non-functional requirements are treated as first-class and systems remain reliable and maintainable.
• Use AI tools to accelerate discovery, design, code, tests, documentation, and analysis, and scale successful practices so teams adopt them consistently.
• Define and own enterprise data platform strategy centered on Databricks or equivalent lakehouse architectures.
• Establish reference architectures spanning ingestion, lakehouse, analytics, and AI/ML.
• Set standards and best practices for: Databricks lakehouse design and workload isolation. Delta Lake optimization and data lifecycle management. Streaming and batch processing patterns. Unity Catalog–aligned governance and security models. Guide multi-workspace and multi-region Databricks deployments.
• Ensure tight integration between Databricks, Azure-native services, and downstream analytics tools.
• Oversee architectural alignment with complementary platforms (e.g., Snowflake, Fabric, Power BI).

Director, Data Architecture – Engineering

Solutions Engineer

• Lead as a technical evangelist and trusted advisor for clients, shaping early-stage Data &amp; AI conversations into compelling solution visions built on the Microsoft platform.
• Partner closely with sales and account teams to drive opportunity qualification, solution strategy, and deal closure for Data &amp; AI engagements.
• Lead technical discoveries with clients to understand business priorities, decision criteria, and value drivers, translating them into winning Data &amp; AI architectures.
• Lead design and present Data &amp; AI solutions that clearly articulate business outcomes, technical feasibility, and ROI.
• Provide executive-level technical depth in Azure with depth in data engineering, data architect, machine learning, or AI to influence client stakeholders from practitioner to C-level.
• Lead technical credibility throughout the sales cycle, including whiteboarding sessions, architecture reviews, proposals, and executive presentations.
• Guide and mentor architects and data scientists to ensure solution consistency, technical excellence, and alignment with go-to-market strategy.
• Identify and lead opportunities to expand pipeline through innovation workshops, POVs, and targeted thought leadership aligned to Microsoft Data &amp; AI offerings.
• Ensure proposed solutions align with Microsoft best practices, security standards, and regulatory requirements.
• Stay current on Microsoft Data &amp; AI roadmaps and industry trends to continuously sharpen competitive positioning and client impact.

Principal Architect – Data & AI Solutions

DevOps Engineer

• Participate in technical envisioning, technical design, and delivery of assigned projects.
• Work with 3Cloud Architects to support project efforts from a technical perspective.
• Execute the implementation of designed solutions into client deliverables.
• Assist with design and deployment of client workloads into Azure.
• Providing technical expertise and support across the following four areas of specialization:
• Datacenter Transformation
• Azure Infrastructure
• DevOps and CI/CI pipelines
• Cloud automation

Senior Consultant – DevOps

QA Engineer

• Lead or support discovery and requirements analysis to translate business goals into testable acceptance criteria, QE scope, and an executable test approach.
• Implement the end-to-end QE strategy and quality architecture for a workstream across functional and non-functional needs (e.g., reliability, performance, security, data quality); contribute to governance/standards and documentation and escalate gaps/risks with recommended improvements.
• Design, build, and maintain scalable automation solutions (UI/API/data as applicable), selecting appropriate tools and frameworks and ensuring maintainability and reusability.
• Integrate testing into CI/CD and delivery workflows to improve release confidence (e.g., automation in pipelines, quality gates, environments, and test data strategy).
• Execute and guide testing (automation-first with targeted manual testing when needed), ensuring coverage, traceability, and actionable defect management and triage.
• Own workstream-level QE planning and execution management, including estimation, sequencing, dependencies, and day-to-day coordination with product/engineering to meet delivery milestones.
• Establish and run a workstream quality cadence (dashboards/status, defect triage, root-cause themes), ensuring risks and release readiness are visible early and decisions are data-informed.
• Communicate quality status, risks, and tradeoffs to client and internal stakeholders; recommend course-corrections to scope, plan, or approach based on data and outcomes.
• Mentor and coach engineers/consultants through pairing, feedback, and day-to-day technical leadership; model strong engineering practices and help the team adopt consistent QE ways of working.
• Contribute to QE practice development by sharing patterns, improving accelerators, and promoting a quality-first culture across engagements.

Senior Consultant – Quality Engineering

• Lead architecture and technical strategy for enterprise-scale Azure modernization and transformation programs.
• Translate client goals into scalable technical designs, aligning architecture decisions with business priorities and delivery outcomes.
• Drive architecture development across delivery teams, ensuring reusable models, design standards, and technical consistency.
• Collaborate across adjacent domains (App Innovation, Cloud Platform, Data & AI) to integrate solutions and strengthen architecture cohesion.
• Provide architectural oversight through design reviews, delivery frameworks, and technical quality assurance.
• Mentor architects and engineering teams, building delivery capability, technical rigor, and cross-domain fluency.
• Contribute to IP and framework development, identifying repeatable patterns and reusable assets to improve delivery efficiency.
• Engage in presales activities by supporting solution shaping, technical scoping, and proposal input for strategic opportunities.
• Collaborate with stakeholders across delivery and business functions to ensure delivery success and technical alignment.
• Manage workload and commitments to achieve utilization and quality outcomes while contributing to delivery innovation and client success.

Senior Architect – Enterprise Solutions Architecture

Systems Engineer

• Respond to user queries, gather support request information, analyze issues, and document all work performed.
• Ensure support requests and problem tickets are completed within established SLAs.
• Train users in the proper use of hardware and software as necessary.
• Provide exceptional customer service and end-user support.
• Perform routine systems support, maintenance, and testing.
• Troubleshoot hardware, software, networking, and communication issues.
• Assist with equipment repair and replacement activities.
• Support Azure, Microsoft 365, SharePoint, Exchange, Teams, Entra ID, and Intune environments.
• Assist with Apple Business Manager, Mosyle, or other MDM solutions.
• Assist with research and development initiatives.
• Support the implementation of new technologies and IT projects.
• Assist System Administrators and Engineers with projects and implementations.
• Maintain accurate and up-to-date documentation.
• Research and recommend solutions for hardware and software issues.
• Assist with inventory tracking and maintenance.
• Support procurement activities and record keeping.
• Maintain records, project documentation, user instructions, and reports.
• Attend meetings as required.
• Maintain current knowledge of emerging technologies and industry best practices.
• Perform other duties as assigned.

Support Engineer

• Serve as the main point of contact for office technology inquiries, including:
• Door access systems
• Workstation issues
• CCTV system troubleshooting
• Network and Wi-Fi inquiries (guest and main)
• Teams room equipment
• Printer-related support
• Handle technology queries from visitors such as executives, clients, and training attendees.
• Assist with meeting room and Teams Room equipment setup and troubleshooting.
• Manage the sending and receiving of laptops for onboarding/offboarding processes.
• Coordinate with the in-house driver for equipment deliveries and replacements.
• Reformat and prepare laptops for redeployment.
• Participate in end-of-month and end-of-year inventory audits.
• Organize and maintain the IT room.
• Autopilot enrollment devices in Intune and ensure proper setup.
• Handle password and MFA reset tickets for GDC users within the assigned shift.
• Escalate unresolved technical issues to the Business Systems Team as necessary.
• Provide support during executive, client, and training visits.
• Be receptive to feedback and maintain trustworthiness in handling high-value equipment.

IT Support Technician

Operations

• Review and verify all signed SOW’s and Change Orders to project estimates for accuracy.
• Create projects in SalesForce for verified SOW’s.
• Update project and project budgets for verified change orders.
• Coordinate with and support our Project Management team, Resource Planning team, and Sales team throughout the engagement delivery cycle.
• Assist with onboarding and offboarding team members in SalesForce.
• Respond to support cases filed by stakeholders.
• Support our delivery team to ensure timely and accurate timecard submission.
• Support our contract management system (CLM).
• Validate data in Salesforce/Certinia using provided audit reports, update data as needed.
• Support our Accounting and Billing team by processing corrections to projects and timecards as needed.
• Backup the Accounting team on our corporate travel and expense processing systems Expensify and Navan.
• Recommend and implement process and automation improvements to prevent errors and gain efficiency.
• Synergy Timecard tracking
• Assist in integration tasks

Consulting Operations Coordinator

• Lead architecture and technical strategy for large Azure programs and portfolios so solutions meet client goals for value, security, scalability, reliability, performance, and cost.
• Define modernization blueprints and reference architectures across applications, platforms, and data, including system and subsystem designs, patterns, and standards that simplify delivery and operations over time.
• Translate business and product strategy into cloud architecture roadmaps and execution plans that drive measurable outcomes and adapt based on production feedback and telemetry.
• Guide major architecture decisions across programs, promote shared design standards and reusable models, and resolve high-impact technical trade-offs.
• Work across teams to connect solutions into cohesive end-to-end architectures with clear ownership boundaries and integration contracts.
• Provide architectural oversight during delivery through design reviews, forums, and governance, keeping cross-cutting concerns (security, performance, resilience, availability, compliance, observability, and cost) aligned across teams.
• Promote modular design, clear boundaries, testability, CI/CD, and observability so non-functional requirements are treated as first-class and systems remain reliable and maintainable.
• Use AI tools to accelerate discovery, design, code, tests, documentation, and analysis, and scale successful practices so teams adopt them consistently.
• Lead or co-lead executive and senior stakeholder conversations on cloud modernization, platform strategy, AI adoption, and program roadmaps.
• Use structured problem solving to clarify scope, dependencies, risks, and trade-offs, and shape delivery plans that balance value, cost, speed, and long-term system health.
• Set discovery strategy so program objectives flow into a clear, traceable backlog tied to architecture and business outcomes.
• Explain complex architecture and modernization strategies in clear language for executives, business leaders, and technical teams, including options, trade-offs, and recommendations.
• Build trusted relationships with technology and business leaders, influencing priorities and investment decisions in ways that help mature their engineering and architecture practices.
• Run structured decision-making forums (such as architecture reviews or steering committees) that produce clear decisions, documented rationale, and actionable next steps.
• Define architecture, discovery, and delivery frameworks and working agreements that support predictable, incremental delivery across multiple teams and time zones, including cadences, artifacts, escalation paths, and hybrid delivery guidelines.
• Align teams on shared outcomes, APIs, integration contracts, and operating models, ensuring cross-team dependencies are identified early, owned, and tracked through to completion.
• Support effective use of Agile methods at program scale so architecture, backlogs, and release plans support meaningful increments, stable team velocity, low defect escape, clear definitions of done, and course corrections based on telemetry and feedback.
• Track risks, technical debt, quality trends, and architectural drift across teams, and recommend adjustments that keep programs on track while balancing short-term delivery needs with long-term system health.
• Support cross-practice opportunity qualification and estimating using playbooks, benchmarks, and templates so the organization focuses on high-fit pursuits and improves proposal quality and confidence in value, risk, and margin.
• Mentor Senior Architects, Delivery Architects, and senior engineers, helping them grow systems thinking, architectural judgment, cross-team awareness, and their ability to lead multi-team initiatives.
• Provide architectural oversight across programs, modeling pragmatic decision-making, including when to keep solutions simple, when to standardize, when to extend patterns, and when to introduce new technologies.
• Help shape career paths and development plans for architects by clarifying expectations for operating at program scale and providing concrete examples of what “good” looks like.
• Create and maintain high-leverage learning assets—such as reference implementations, architecture decision records, playbooks, and mentoring guides—that accelerate onboarding and skill growth.
• Support hiring, calibration, and talent development by defining interview standards, participating in senior-level interviews and promotion reviews, and training others to apply those standards consistently.
• Set a high bar for executive-ready communication and storytelling, and coach others so their narratives support clear decisions and strengthen client trust.
• Help build a culture of psychological safety, inclusion, constructive feedback, and continuous improvement within and across teams, and support new ways of working that endure beyond a single project.
• Grow the company by identifying opportunities within your accounts across all our capabilities and pursuing them with the support of the account team.
• Intentionally build executive relationships within accounts to expand our partnership and create opportunities to provide strategic value.
• Drive sales opportunities by participating in pursuit teams as either the Pursuit Lead or Technical Solution Lead.
• Partner with sales, account, and practice leaders to shape technical strategy for strategic pursuits, projects and/or programs.
• Lead the creation of solution options, program-level architectures, and estimates, clearly documenting assumptions, dependencies, and risks and explaining how proposed approaches drive business value and reduce risk.
• Operate as a senior technical advisor whose guidance shapes multi-track initiatives and supports long-term account growth.
• Identify follow-on and adjacent opportunities—such as platform extensions, additional modernization waves, AI-enabled capabilities, or data estate modernization—that align with client strategies and 3Cloud’s strengths.
• Define and evolve reusable assets—such as reference architectures, modernization playbooks, landing zone templates, workshops, accelerators, and starter repositories—that become standard patterns for delivery teams and reduce cycle time and rework while honoring architectural and nonfunctional requirements.
• Champion adoption of modern frameworks, cloud platform capabilities, automation practices, and AI-assisted tools in a responsible and secure way, using pilots and experiments with clear success criteria to turn innovation into stable, repeatable practice.
• Contribute to internal cross-practice initiatives that share patterns and lessons from large programs and reinforce our credibility with clients and partners.
• Shape enablement programs that grow capabilities and reusable assets across accounts and package applied innovation into offerings and assets used in delivery and pursuits.

Principal Architect – AI

Security Engineer

• Lead and deliver complex security engagements centered on Azure Security, Identity & Access Management (IAM), and Microsoft Purview / AI Governance.
• Serve as a principal-level architect, thought leader, and trusted advisor who shapes secure cloud, data, and AI governance strategies for enterprise clients while remaining deeply engaged in delivery.
• Provide senior technical leadership across multiple strategic client engagements. Lead executive and architectural design sessions, define target-state security architectures, and guide delivery teams through implementation with a strong focus on quality, scalability, and measurable business outcomes.
• Act as a trusted advisor to client stakeholders, including security, infrastructure, data, and executive leaders. Shape security roadmaps, advise on operating models and governance, and bring forward innovative perspectives on Azure security, identity modernization, data protection, and AI governance.
• Remain hands-on in delivery while overseeing complex programs from strategy through implementation. Partner with delivery leadership to align milestones, manage technical risk, remove blockers, and ensure successful outcomes across architecture, implementation, and adoption phases.
• Design and lead implementation of enterprise security architectures across Azure and hybrid environments, including Microsoft Entra ID, Conditional Access, Identity Protection, Privileged Identity Management (PIM), role-based access control, Zero Trust controls, workload protection, and security monitoring patterns aligned to least privilege and strong governance.
• Lead engagements focused on Microsoft Purview, information protection, data security posture management, data loss prevention, compliance, and governance for Copilot, AI applications, and AI agents. Help clients establish secure and compliant approaches for data access, policy enforcement, monitoring, lifecycle management, and responsible AI enablement.
• Contribute approximately 25-30% of role capacity to sales enablement and solution development activities. Partner with account teams and solution leaders to shape opportunities, lead discovery conversations, develop solution approaches, support estimates and statements of work, contribute to proposals, and articulate differentiated value in client pursuits.
• Help scale the security practice through reusable assets, reference architectures, accelerators, and delivery standards. Mentor architects and engineers, coach teams on emerging Microsoft security capabilities, and strengthen organizational readiness across Azure security, identity, data governance, and AI security disciplines.

Principal Architect – Security

• Be an essential part of the team responsible for crafting and delivering creative cloud solutions for our clients.
• Participate in technical envisioning, technical design, and delivery of assigned projects.
• Execute the implementation of designed solutions into client deliverables.
• Lead consultants in design and deployment of client workloads into Azure.
• Provide technical expertise and support across the following areas of specialization:
• Datacenter Transformation
• Azure Infrastructure
• DevOps and CI/CD pipelines
• Cloud automation

Architect – DevOps

Vice President

• Lead and develop the Delivery Management’s Project Delivery organization, including Delivery Managers, Program Managers, and related delivery leadership roles.
• Establish and maintain delivery governance frameworks, standards, methodologies, and operating procedures across all client engagements.
• Drive consistent execution practices that improve delivery quality, predictability, client satisfaction, and financial performance.
• Partner with Market Delivery Leaders to ensure successful delivery outcomes across strategic client portfolios.
• Provide executive oversight for large, complex, and high-risk engagements, ensuring appropriate governance, escalation management, and stakeholder alignment.
• Monitor portfolio health through operational metrics, delivery reviews, financial performance indicators, and client feedback.
• Identify and mitigate delivery risks, resource constraints, and execution challenges before they impact client outcomes.
• Collaborate with Service Line Leaders to align delivery capabilities, technical expertise, staffing strategies, and delivery methodologies.
• Support account planning and growth initiatives by ensuring delivery organizations can scale effectively to meet client demand.
• Drive continuous improvement initiatives that increase operational efficiency, delivery consistency, utilization, and gross margin performance.
• Establish standards for project planning, financial forecasting, change management, resource management, and executive reporting.
• Develop delivery management career paths, training programs, coaching practices, and succession plans to strengthen organizational capability.
• Partner with executive leadership to evaluate delivery performance trends and implement strategies that improve business outcomes.