Blue Acorn iCi

Technical Recruiter

• Develop sourcing strategies for highly specialized Adobe Experience Cloud and AI consulting roles.
• Identify and engage passive candidates using LinkedIn Recruiter, referrals, professional communities, GitHub, user groups, conferences, and other sourcing channels.
• Build and maintain evergreen talent pipelines aligned with current hiring needs and future business growth.
• Conduct competitive market mapping across Adobe Partners, consulting firms, system integrators, and enterprise organizations.
• Partner with recruiters to prioritize searches and align sourcing strategies with business objectives.
• Execute personalized outreach campaigns that highlight Blue Acorn iCi's culture, consulting model, and career opportunities.
• Conduct initial qualification conversations with prospective candidates.
• Build long-term relationships with passive talent.
• Ensure an exceptional candidate experience from first outreach through recruiter handoff.
• Maintain accurate candidate records within the ATS and LinkedIn Recruiter.
• Deliver recruiter-ready candidate shortlists, including sourcing notes and insights.
• Re-engage previous candidates and silver medalists.
• Monitor sourcing metrics and pipeline health.
• Support recruiter reporting and talent pipeline forecasting.
• Stay current on Adobe Experience Cloud, AI, digital experience, cloud, and data & analytics talent markets.
• Provide insights into compensation trends, competitor hiring activity, talent availability, and emerging technical skills.
• Identify and communicate sourcing challenges, talent market constraints, and competitive hiring trends to recruiting and business stakeholders.
• Recommend innovative sourcing strategies and continuous process improvements.

Technical Sourcer – Adobe Experience Cloud

Sales

• Lead Generation & Market Expansion
• Drive targeted go-to-market strategies to build and expand a high-quality pipeline across enterprise accounts and verticals.
• Partner with Marketing to design account-based campaigns, lead capabilities sessions, and align outreach strategies.
• Collaborate with Adobe Solution Partner Sales Teams and Infosys account organizations to identify and engage joint prospects.
• Opportunity Management
• Lead the sales cycle from qualification to close on complex, multi-solution deals.
• Build compelling proposals, lead executive negotiations, and secure contracts.
• Partner with internal teams to ensure accurate scoping, margin analysis, and resource alignment.
• Strategic Partnerships & Thought Leadership
• Cultivate trusted relationships with Adobe, Infosys, and client stakeholders.
• Represent Blue Acorn iCi as a senior leader at industry events and thought-leadership engagements.
• Revenue & Forecasting
• Consistently exceed quarterly and annual revenue targets.
• Improve average deal size, conversion rates, and competitive win rates.
• Maintain accurate CRM data to drive forecasting, planning, and pipeline health.
• Sales Process Optimization
• Partner with leadership to refine sales methodologies, increase efficiency, and improve predictability.
• Mentor junior sales team members and contribute to scaling the sales function.
• Measurement & Success Criteria
• Pipeline Growth: Volume and quality of enterprise opportunities generated.
• Conversion & Win Rates: From qualified opportunities to closed deals.
• Revenue Delivery: Achievement of targets and growth in deal size.
• Strategic Impact: Expansion of Adobe and Infosys partnerships and influence at senior client levels.
• CRM Accuracy: Reliable pipeline management for business planning.

Vice President of Sales

Data Engineer

• Lead client discovery sessions to gather business and technical requirements, define project scope, and manage stakeholder expectations throughout engagements.
• Provide strategic guidance on Adobe Experience Platform adoption, enterprise data strategy, and solution architecture.
• Partner with clients to assess data maturity and recommend scalable architecture solutions aligned with business objectives.
• Serve as a trusted advisor by translating complex technical concepts into actionable recommendations for both technical and non-technical stakeholders.
• Review and validate enterprise data architectures, XDM schema designs, identity resolution strategies, activation plans, and technical specifications.
• Provide recommendations across the entire data lifecycle, including data ingestion, ETL/ELT processes, transformation, governance, quality, archival, and lifecycle management.
• Guide customer identity mapping and Customer 360 initiatives through effective SQL and NoSQL data modeling strategies.
• Promote enterprise data governance standards and repeatable best practices across Adobe Experience Platform implementations.
• Review technical design documents and architecture specifications to ensure alignment with Adobe best practices and enterprise standards.
• Mentor Data Architects and cross-functional engineering teams by providing architectural oversight and technical leadership.
• Collaborate with software engineering consultants, data scientists, and delivery teams to guide scalable data workflows and machine learning operationalization.
• Act as the senior data architecture advisor across multiple client engagements, ensuring technical excellence throughout project delivery.
• Successfully manage multiple client engagements while balancing competing priorities and maintaining project governance.
• Contribute reusable templates, playbooks, frameworks, and Center of Excellence initiatives that strengthen the Adobe consulting practice.
• Develop client-facing documentation, presentations, architecture recommendations, and implementation guidance.
• Maintain accurate project documentation, workload estimates, and project tracking throughout engagements.
• Stay current on Adobe Experience Platform capabilities, Azure cloud technologies, and emerging enterprise data architecture trends.
• Identify opportunities to improve delivery methodologies and recommend innovative solutions that address evolving client needs.
• Continuously expand technical expertise while contributing knowledge and best practices across the consulting organization.

Data Architect Consultant

Program Manager

• Serve as the subject matter expert for learning technology platforms, including Adobe Learning Manager (ALM), Adobe Connect, Qualtrics, TidWit, SharePoint, and curriculum development tools such as Adobe Captivate and Articulate Rise.
• Partner with business stakeholders to gather, document, and validate business requirements across the organization.
• Develop a deep understanding of learning platform user experience challenges and identify opportunities for optimization.
• Translate business requirements into clear, actionable documentation for Product and Engineering teams.
• Support roadmap planning, feature prioritization, and enhancement recommendations based on stakeholder needs.
• Lead technology initiatives including platform migrations, automation efforts, enhancements, and strategic improvement projects.
• Manage project plans, identify risks, communicate project status, and ensure successful on-time delivery.
• Serve as the primary technical contact for platform administration and collaborate with internal product and technology teams.
• Evaluate current technical solutions, identify process gaps, and recommend future-state improvements.
• Communicate new platform releases, features, and capabilities while driving stakeholder awareness and adoption.
• Manage user provisioning within Adobe systems and support platform administration activities.
• Research, evaluate, and recommend new technology solutions that support the learning ecosystem.
• Maintain documentation for applications, technical processes, and key business decisions.
• Utilize Adobe Workfront to manage project execution, communicate project status, and contribute as a technology subject matter expert.
• Author and schedule content within Adobe Learning Manager as needed to support business objectives.
• Conduct research and analysis to support strategic initiatives and future technology investments.
• Build alignment across business and technical stakeholders to accelerate delivery and improve the overall learning experience.

Program Manager – ALM, LMS

Consultant

• Serve as a recognized authority in Adobe Workfront solutions and technologies.
• Gather and understand client business objectives, technical requirements, goals, and challenges.
• Educate clients on Adobe Workfront best practices and industry-specific methodologies.
• Evaluate solution designs and Workfront configurations to ensure implementation accuracy and alignment with recommended practices.
• Analyze complex project challenges, identify solution options, and facilitate recommendation discussions with clients and partners.
• Translate business requirements into architecture, design, and development activities utilizing Adobe Workfront solutions.
• Lead and support enterprise Workfront implementations, including workflow design and platform configuration.
• Provide guidance on project management methodologies including Waterfall, Scrum, Kanban, PMI, and hybrid approaches.
• Validate implementation approaches and recommend scalable solutions aligned with client objectives.
• Support data migration efforts from legacy tools and systems into Workfront.
• Ensure adherence to governance standards and platform best practices.
• Design, develop, and troubleshoot Workfront Fusion scenarios and automations.
• Configure modules, develop functions, and implement integration workflows.
• Utilize REST APIs, JSON structures, array refinement techniques, and error-handling best practices.
• Integrate Workfront with enterprise systems including Creative Cloud, AEM Assets, Jira, Outlook, Salesforce, Slack, and other business applications.
• Support ongoing optimization and troubleshooting of integration solutions.
• Manage a high-volume portfolio of client engagements while ensuring timely execution and quality delivery.
• Collaborate with marketers, analysts, developers, project teams, and business leaders.
• Facilitate technical discussions with both technical and non-technical stakeholders.
• Build credibility and trust through strong consulting, communication, and facilitation skills.
• Act as an advocate for customer success and long-term platform adoption.
• Maintain accurate project records, workload estimates, and time tracking documentation.
• Create client-facing documentation, presentations, and recommendations using Microsoft Office tools.
• Continuously expand Adobe Workfront expertise through certifications, training, and self-study.
• Stay current on Adobe Workfront product enhancements, features, and industry best practices.

Workfront Consultant

Solutions Engineer

• Lead architecture, strategy, and delivery for Adobe Journey Optimizer B2B (AJO B2B) implementations.
• Design scalable Buying Group, audience, account-based marketing, and lifecycle orchestration frameworks.
• Develop solution architectures that align platform capabilities with business objectives and customer engagement strategies.
• Provide architectural leadership across Adobe Journey Optimizer B2B, Adobe Experience Platform (AEP), Marketo, Salesforce, and related marketing technology ecosystems.
• Translate business requirements into scalable technical solutions and implementation roadmaps.
• Partner with business and technical stakeholders to align platform capabilities with organizational goals.
• Facilitate discovery workshops, solution design sessions, roadmap development, and governance planning.
• Serve as a trusted advisor to clients on B2B marketing transformation strategies and platform adoption.
• Guide implementation teams through the delivery of AJO B2B solutions.
• Establish implementation best practices, solution standards, and governance models to support long-term scalability.

Solution Architect – Adobe Journey Optimizer, B2B

Engineer

• Configure RTCDP components including identity namespaces, datasets, schemas, and mapping workflows
• Implement batch and streaming ingestion pipelines using Adobe sources, connectors, and APIs
• Configure segment definitions, audience sharing, and activation readiness checks
• Validate end-to-end data flow from ingestion → profile → segmentation → activation
• Design and implement identity stitching strategies across CRM IDs, ECIDs, hashed emails, AAIDs, and other identifiers
• Configure and validate identity graphs to ensure accurate stitching and profile completeness
• Troubleshoot identity issues including profile fragmentation, namespace conflicts, and declining match rates
• Map CRM, behavioral, transactional, and event data to appropriate XDM classes and field groups
• Implement data governance, consent enforcement, and data minimization rules for activation
• Ensure data quality, normalization, deduplication, and schema consistency across datasets
• Build and maintain RTCDP segments including rule-based, event-based, account-based, and streaming audiences
• Configure and test activation destinations such as: Paid media platforms, Email and marketing automation tools, Cloud and file-based export destinations
• Validate activation accuracy, latency, and downstream audience performance
• Partner with AEP engineers to align schemas, datasets, and identity requirements
• Work with AJO teams to ensure journeys and decisioning logic receive accurate audience inputs
• Support CJA teams by aligning profile and event datasets for reporting and analysis
• Collaborate with client and Adobe architects to ensure interoperability across systems
• Monitor ingestion success, data lineage, schema adherence, and governance compliance
• Conduct QA across profiles, identities, segments, and activation endpoints
• Identify and mitigate risks related to data completeness, identity match rates, or activation discrepancies
• Produce technical documentation including mappings, runbooks, and implementation artifacts.

RTCDP Engineer

Product Specialist

• Maintain deep working knowledge of Adobe Experience Platform, including data ingestion, schemas, identity, governance, and activation
• Apply hands-on expertise across RTCDP, CJA, and AJO to shape solution options and configuration approaches
• Review Adobe product documentation, release notes, and roadmaps to stay current on evolving capabilities
• Partner with Adobe product teams and internal experts to understand intended usage patterns and constraints
• Translate platform capabilities into clear solution patterns, tradeoffs, and implementation guidance
• Support pilots, proofs of concept, and test-and-learn initiatives by enabling and validating configurations
• Identify dependencies, risks, and feasibility considerations to inform roadmap and prioritization discussions
• Contribute platform-informed inputs to backlog refinement and adoption planning

Product Specialist – Adobe Experience Cloud

• Help clients realize and quantify value driven by Adobe solutions
• Act as a recognized authority in Marketo Engage and integrated Adobe solutions
• Provide advice on best practices and business needs
• Collaborate cross-team to deliver recommendations
• Analyze complex technical issues and facilitate solutions
• Advise on architectural design development
• Support troubleshooting of advanced Marketo automation issues
• Maintain accurate daily records of project hours
• Interact frequently with clients via Microsoft Teams and email
• Actively maintain the highest level of technical expertise.

Marketo Engineer

• Serve as a recognized authority in Adobe Marketo Engage and integrated Adobe solutions following industry best practices and standards.
• Act as a subject matter expert on B2B marketing automation methodologies and best practices.
• Gather and understand client business objectives, technical requirements, and key performance indicators.
• Assess client technical environments and identify implementation gaps relative to business goals.
• Translate business use cases into scalable Marketo solution designs while balancing campaign flexibility, reporting requirements, integration dependencies, and platform guardrails.
• Review technical designs for alignment with KPIs, business objectives, and implementation feasibility.
• Document actionable recommendations to reduce implementation risk and improve platform adoption.
• Advise clients on architectural design and B2B data models for Marketo integrations.
• Design and evaluate integrations between Marketo and enterprise platforms including CRM, ERP, and other business systems.
• Review API usage patterns and integration architecture to identify quota, throughput, concurrency, and data processing risks.
• Provide guidance on integration technologies including REST APIs, webhooks, CRM synchronization, and interoperability across Adobe and non-Adobe systems.
• Evaluate processing, scalability, and downstream impacts of complex data models and recommend sustainable solutions.
• Provide troubleshooting and design guidance for advanced Marketo data structures, including custom fields, custom objects, and custom activities.
• Evaluate Smart Campaign designs, trigger versus batch strategies, campaign qualification behavior, and operational guardrails.
• Support troubleshooting of complex automation issues including campaign recursion, processing delays, activity volume impacts, sync backlogs, and unintended behavior.
• Provide best-practice guidance for Marketo Design Studio assets including emails, forms, templates, and landing pages.
• Recommend scalable solutions that support performance, maintainability, and long-term growth.
• Manage multiple client engagements simultaneously while ensuring timely delivery and high-quality service.
• Interact regularly with marketers, analysts, developers, and executive stakeholders.
• Facilitate technical discussions and solution reviews with clients and partners.
• Establish credibility and trust through strong communication and consulting skills.
• Support customer success initiatives and drive adoption of Adobe solutions.
• Maintain accurate project records, workload estimates, and time tracking documentation.
• Create client-facing documentation, presentations, and recommendations using Microsoft Office and AI-enabled tools.
• Leverage AI technologies to improve workflow efficiency, research platform capabilities, and accelerate delivery.
• Continuously expand technical expertise through training, certifications, and self-study.

Marketo Consultant

IT Support

• Serve as the primary technical leader for enterprise digital experience and digital marketing initiatives.
• Review, develop, and maintain architectural plans aligned with client business objectives.
• Translate complex business requirements into scalable technical solutions.
• Design and oversee enterprise-level Adobe Experience Cloud implementations and integrations.
• Ensure architecture decisions align with project scope, schedule, budget, and business goals.
• Provide strategic guidance on platform capabilities, solution roadmaps, and implementation approaches.
• Lead diverse, cross-functional, and multi-region delivery teams.
• Align delivery activities with documented customer business objectives.
• Support project planning activities including scope definition, delivery estimations, resource allocation, and timeline development.
• Provide technical leadership throughout the project lifecycle.
• Identify delivery risks and proactively develop remediation strategies to ensure successful project outcomes.
• Drive accountability across teams while maintaining a customer-focused approach.
• Architect and deliver solutions across multiple Adobe Experience Cloud products and capabilities.
• Guide clients through digital marketing, customer experience, personalization, analytics, content management, and workflow transformation initiatives.
• Provide expertise across Adobe Experience Platform and integrated Adobe solutions.
• Evaluate architecture decisions with consideration for scalability, security, governance, integrations, and long-term maintainability.
• Support enterprise digital transformation initiatives through best-practice architecture and consulting services.

Enterprise Architect

Architect

• Serve as a recognized authority in Adobe Experience Platform and integrated Adobe solutions following industry best practices and standards.
• Act as a subject matter expert on Adobe Experience Platform, Adobe Analytics, Customer Journey Analytics (CJA), Adobe Target, and AEP RTCDP.
• Gather and understand client business objectives, technical requirements, and key performance indicators.
• Align technical recommendations with customer goals, business objectives, and implementation feasibility.
• Translate business use cases into scalable solution designs while balancing campaign flexibility, reporting requirements, integration dependencies, and platform guardrails.
• Document actionable recommendations to mitigate implementation risks and improve platform adoption.
• Assess client technical environments and identify implementation gaps relative to business objectives.
• Recommend and design best-practice solutions based on findings and platform capabilities.
• Analyze complex technical issues, evaluate solution options, and facilitate customer discussions around recommended approaches.
• Provide guidance on integration technologies and patterns, including REST APIs, webhooks, and interoperability across Adobe and non-Adobe systems.
• Support solution troubleshooting and best-practice implementation across Adobe Analytics, CJA, Adobe Target, and AEP RTCDP.
• Utilize Adobe Experience Platform Debugger, Assurance logging, and related tools to validate implementations and troubleshoot issues.
• Interact regularly with clients, including marketers, analysts, developers, and executive stakeholders.
• Manage multiple client engagements simultaneously while ensuring timely delivery and high-quality service.
• Establish credibility and trust with clients and partners through strong communication and facilitation skills.

Digital Intelligence & Personalization Architect, DIPA FE

• Design, develop, and deploy production-ready AI agents and multi-agent systems that automate enterprise business workflows
• Build reusable agent frameworks, orchestration patterns, and integration components that accelerate future client implementations
• Own the full software development lifecycle from proof of concept through production deployment
• Implement evaluation frameworks, guardrails, observability, and error handling for production AI systems
• Stay current with emerging AI models, orchestration frameworks, and agent technologies, incorporating new capabilities where they provide measurable business value
• Integrate AI agents with enterprise platforms through REST APIs, webhooks, OAuth2, and workflow automation technologies
• Design scalable approval workflows, routing logic, notifications, and intelligent automation supporting enterprise marketing operations
• Assess existing client workflows and identify opportunities to improve efficiency through intelligent automation
• Design secure, scalable integrations capable of supporting enterprise production workloads
• Develop reusable integration patterns that simplify future client implementations
• Partner directly with client stakeholders to understand business processes and operational challenges
• Identify and prioritize high-value automation opportunities that reduce manual effort and improve business outcomes
• Rapidly prototype AI solutions, gather client feedback, and iterate toward production-ready implementations
• Present technical recommendations and solution approaches to both technical and business audiences
• Collaborate with architects, engineers, delivery managers, and consultants to deliver enterprise AI solutions
• Participate in solution architecture discussions, technical discovery sessions, and implementation planning
• Perform peer code reviews and promote engineering best practices across project teams
• Mentor fellow engineers on emerging AI technologies and integration patterns
• Support sales and solution teams by providing technical expertise during client pursuits, demonstrations, and solution estimation.

AI Integration Engineer

Full-stack Engineer

• Design, implement, and maintain CI/CD pipelines and environment automation using Jenkins, GitHub Actions, Terraform, and Ansible
• Manage and operate AEM as a Cloud Service environments including provisioning, configuration, deployment, and troubleshooting
• Configure, monitor, and support Apache web servers and AEM Dispatcher setups
• Build and manage containerized services using Docker and Kubernetes across development, staging, and production
• Guide internal and external teams on performance optimization and operational best practices for AEM
• Lead infrastructure builds for high-availability production environments on AWS, GCP, or Azure
• Automate operational tasks and enhance deployment workflows using Bash, Python, and Groovy
• Monitor site uptime and performance using tools like New Relic, Datadog, and Splunk
• Maintain operational documentation including DR runbooks and infrastructure diagrams
• Participate in incident response and on-call support rotation

AEM Technical Lead

QA Engineer

• Execute test cases and test plans for AEM projects in collaboration with developers and project managers
• Perform functional, regression, and integration testing to ensure system stability and quality
• Participate in defect tracking, reporting, and validation of fixes
• Support verification and validation processes, including defect detection, inspection, and testing methods
• Contribute to quality inspections of requirements, designs, and specifications
• Collaborate effectively in a remote, fast-paced environment while proactively sharing knowledge