Jobs at AHEAD

Consult with enterprise customers on data center and cloud/hybrid solutions, sell AHEAD offerings to C-level and IT leaders, maintain solution knowledge, meet individual and group sales targets, leverage vendor relationships and consultative, financially-driven sales approaches.

Customer-facing technical consultant responsible for implementing and optimizing enterprise block and file storage across datacenter and cloud. Deploys storage arrays and SAN infrastructure, supports replication and continuity tools, produces technical documentation, leads cutovers and escalations, collaborates with project teams, delivers post-implementation knowledge transfer, and mentors junior staff while recommending improvements to storage and delivery practices.

Design, implement, maintain, and troubleshoot enterprise LAN/WAN/wireless and security networks. Support deployments, upgrades, migrations, and operational improvements. Analyze requirements, recommend scalable secure solutions, create documentation, monitor performance, resolve reliability/security issues, provide technical support during projects, collaborate with stakeholders, mentor junior engineers, and pursue continuous learning.

Design, develop, and maintain end-to-end Microsoft Power Platform solutions (Power Apps, Power Automate, Power BI, Dataverse). Integrate with Dynamics 365, Azure, and third-party systems using custom connectors and APIs. Monitor performance, enforce security/compliance, build dashboards, automate workflows, troubleshoot issues, mentor junior engineers, and propose continuous improvements.

Lead architecture, design, development, and deployment of complex ServiceNow IRM/SecOps solutions. Mentor teams, run client workshops/demos, design integrations, maintain certifications, participate in presales, and provide thought leadership across multi-resource programs.

Lead architecture, design, development, and deployment of ServiceNow solutions (preferably IRM/SecOps). Mentor teams, run client workshops/demos, design integrations, contribute to presales, maintain expert certifications, and travel ~25% for client engagements.

Serve as a cross-functional partner resolving commission disputes, validating commission data and reporting, troubleshooting across Salesforce/Power BI/Xactly, and identifying automation opportunities to improve commission processes and stakeholder confidence.

Lead and grow a software engineering team building Hatch and Unity platforms. Partner with product and business stakeholders to deliver high-quality web features on schedule, guide architecture and technical decisions, refine development and AI-assisted workflows, hire and mentor engineers, conduct code reviews, and remove blockers so the team can ship reliably.

Deploy and integrate AI-enabled SOC solutions across customer environments: design cloud-native ingestion pipelines, integrate SIEM/XDR/SOAR and tooling, implement automation and AI workflows, improve analyst experience, troubleshoot production issues, and provide technical leadership and field-facing delivery.

Lead and build an Operations Excellence function to centralize operational quality, own issue management across quote-to-cash, drive root cause analysis and corrective actions, define SOPs and automation opportunities, maintain executive reporting and scorecards, and embed continuous improvement and governance across cross-functional teams.

Lead complex data, analytics, AI, and cloud transformation engagements as a trusted advisor: manage delivery, scope, budget, stakeholders, and teams; design scalable data platform solutions; drive business development, mentoring, and practice improvements.

Hands-on technical leader designing, building, and scaling AI-powered operational capabilities for Managed Services. Deliver agentic AI workflows (triage, remediation, RAG knowledge, orchestration), integrate with ITSM, observability, and automation tools, establish guardrails, and drive adoption and measurable operational outcomes like incident deflection and MTTR reduction.

The Senior Technical Consultant leads the design and implementation of enterprise-grade technical solutions, mentors team members, and collaborates on innovations for client projects.

Support assigned Client Directors to protect and increase gross profit margin and customer satisfaction. Manage quote-to-cash transaction lifecycle, prepare pricing/proposals, maintain pipeline/forecast in Salesforce, resolve customer issues, coordinate internal teams, manage vendor and AR interactions, and maintain client records and value-add deliverables.

Lead architecture, design, development and deployment of ServiceNow solutions (ITOM preferred). Mentor teams, drive integrations, lead client workshops/demos, contribute to presales, maintain certifications, and own project delivery with at least 25% travel.

Lead and implement hands-on data governance across the Data Platform: build and operate the enterprise catalog, automate lineage, embed data quality checks, configure Snowflake governance, manage access workflows and event contract governance, create governance metrics and dashboards, define standards and operating model, enable domain teams, and hire and lead a small governance function.

Lead build-and-run of an enterprise Data Platform: design and operate Snowflake architecture, data governance, access/authorization, FinOps, ingestion (batch/CDC/streaming), medallion pipelines, data product publishing, and event streaming/messaging. Recruit and lead a cross-functional team, define operating model and standards, ensure secure governed connections for analytical and operational use cases, and align platform decisions with business priorities.

Serve as a hands-on principal consultant embedded with business units to discover AI opportunities, facilitate design-thinking workshops, scope MVPs, guide platform fit, bridge business and engineering, drive adoption/change readiness, engage executives, and measure business impact through defined success metrics and reporting.

Build and operate production AI applications on enterprise GPT platforms: design agents and workflows, integrate enterprise data sources, implement APIs/webhooks, ensure security/observability, prototype and scale RAG and agentic solutions, measure model quality and cost, and partner with business stakeholders to deliver and support AI-enabled outcomes.

Lead a multinational order management team to ensure logistics data integrity, analyze performance metrics, collaborate with sales, procurement, IT and external partners, prioritize vendor data feeds, monitor shipments, and resolve customer shipment issues to improve timeliness and accuracy.