iShare Inc.

SEO Marketing

• Design, develop, test, and deploy JDE E1 Orchestrations, Notifications, Watchlists, and Service Requests for process automation
• Architect real-time integrations between JDE and external applications (RPA bots, chatbots, AI co-pilot tools, mobile apps, APIs)
• Build reusable orchestration components to streamline and standardize automation workflows
• Troubleshoot, optimize, and refactor existing orchestrations for performance, scalability, and stability
• Implement end-to-end automation solutions using tools such as UiPath, Automation Anywhere, MS Power Automate, or similar RPA platforms
• Integrate Orchestrator with cloud services, REST APIs, message queues, and AI-driven tools

JDE EnterpriseOne (E1) Technical Expert

Accountant

• Prepare journal entries, accruals, expense amortizations, reconciliations, and financial schedules.
• Support client billing cycles, media costs allocations, and pass-through expenses.
• Review/validate media plans and insertion orders for financial accuracy.
• Reconcile media spend, production costs, and vendor invoices.
• Process transactions, run reports, maintain GL accuracy.
• Support SAP FI/CO workflows and help troubleshoot discrepancies.
• Prepare P&L summaries, variance analysis, and management reporting for internal stakeholders and clients.
• Ensure adherence to company policies, GAAP, SOX controls (if applicable), and internal audit requirements.
• Partner with media planners, client services, AP/AR, and project management teams on financial accuracy and timely reporting.
• Identify and implement enhancements to streamline billing, close, and SAP workflows.

Mid-Level Accountant – Media & Advertising, SAP

AI Engineer

• Design, build, and operate agentic AI systems end-to-end—from concept to production.
• Work on multi-agent orchestration, Retrieval-Augmented Generation (RAG), evaluation frameworks, and AI guardrails to build safe, reliable, and high-performing systems.
• Collaborate cross-functionally with product, ML, and design teams—bringing ideas to life through strong engineering execution, clear communication, and a low-ego, problem-solving mindset.
• Design and implement Retrieval-Augmented Generation pipelines to ground LLMs in enterprise or domain-specific data.
• Make strategic decisions on chunking strategy, embedding models, and retrieval mechanisms to balance context precision, recall, and latency.
• Work with vector databases (Qdrant, Weaviate, pgvector, Pinecone) and embedding frameworks (OpenAI, Hugging Face, Instructor, etc.).
• Diagnose and iterate on challenges like chunk size trade-offs, retrieval quality, context window limits, and grounding accuracy—using structured evaluation and metrics.
• Establish comprehensive evaluation frameworks for LLM applications, combining quantitative (BLEU, ROUGE, response time) and qualitative methods (human evaluation, LLM-as-a-judge, relevance, coherence, user satisfaction).
• Implement continuous monitoring and automated regression testing using tools like LangSmith, LangFuse, Arize, or custom evaluation harnesses.
• Identify and prevent quality degradation, hallucinations, or factual inconsistencies before production release.
• Collaborate with design and product to define success metrics and user feedback loops for ongoing improvement.
• Implement multi-layered guardrails across input validation, output filtering, prompt engineering, re-ranking, and abstention (“I don’t know”) strategies.
• Use frameworks such as Guardrails AI, NeMo Guardrails, or Llama Guard to ensure compliance, safety, and brand integrity.
• Build policy-driven safety systems for handling sensitive data, user content, and edge cases with clear escalation paths.
• Design and operate multi-agent workflows using orchestration frameworks such as LangGraph, AutoGen, CrewAI, or Haystack.
• Coordinate routing logic, task delegation, and parallel vs. sequential agent execution to handle complex reasoning or multi-step tasks.
• Build observability and debugging tools for tracking agent interactions, performance, and cost optimization.
• Evaluate trade-offs around latency, reliability, and scalability in production-grade multi-agent environments.

AI Engineer – Agentic, RAG Systems

Account Manager

• Manage assigned client relationships across retail and CPG.
• Grow revenue within the assigned portfolio to $30M+ by developing new relationships.
• Collaborate with all delivery stakeholders involved to ensure fulfillment of all commitments to the client.
• Create the account plan including relationships required, opportunities to be pursued, price decisions, etc.
• Assistance with new logo acquisition – be able to bring new relationships and leverage existing relationships to help grow new logos.

AVP Account Manager – Retail, CPG

• The Client Partner will manage relationships across an assigned set of automotive clients and will be responsible for driving revenue growth and manage customer interactions related to service delivery.
• Grow revenue within the assigned portfolio by developing new relationships across multiple buying centers and increasing presence across client relationships.
• Collaborate with all delivery stakeholders involved to ensure fulfillment of all commitments to the client.
• Create the account plan including relationships required, opportunities to be pursued, price decisions, etc.
• Be able to bring new relationships and leverage existing relationships to help grow new logos.

AVP Account Manager – Auto Industry

Marketing

• Define and execute the marketing strategy, planning, and measurement framework for Sports & Gaming clients, aligning with each organization’s growth priorities.
• Serve as the senior voice for marketing transformation, connecting fan, digital media, and commerce data into cohesive engagement strategies.
• Partner with client CMOs, CTOs, and data leaders to design integrated roadmaps that combine analytics, automation, and creative orchestration for acquisition and retention.
• Lead MarTech architecture and enablement, integrating data, identity, activation, and analytics across platforms such as Adobe, Salesforce, Braze, Iterable, Attentive, and Tealium.
• Collaborate with engineering and analytics teams to build scalable, real-time systems that power personalization, decisioning, and performance measurement.
• Oversee end-to-end campaign operations and signal-based dynamic journey design across outbound and paid channels (email, push, SMS, in-app, web, and media) tailored to segments, behavioral data, and product interactions - delivering contextual, personalized, and localized experiences at scale ensuring quality, compliance, and operational excellence at the same time.
• Drive efficiency and innovation through automation, reusable assets, and test-and-learn programs in collaboration with creative and data science teams.
• Establish personalization and measurement frameworks, including segmentation, A/B testing, MTA, incrementality, and ROI analysis.
• Champion the adoption of generative AI, real-time decisioning, and automation tools to deliver individualized multi-channel customer experiences.
• Lead and mentor a cross-functional team of strategists, analysts, and campaign specialists while ensuring delivery excellence and profitability.
• Support business growth and industry leadership through RFPs, client presentations, and partnerships with MarTech vendors and alliances.

AVP, Consulting – Sports & Gaming

Software Engineer

• Own end-to-end strategy and execution of email and direct mail programs
• Ensure on-time, error-free delivery with clear stakeholder updates
• Coordinate list pulls and QA for direct mail alongside digital touchpoints
• Uphold brand, legal, and privacy standards

Lead Developer, Adobe Campaign

Customer Support

• Respond to customer inquiries via phone regarding financial transactions.
• Follow structured call procedures and maintain high service standards.
• Provide accurate and professional solutions to customer concerns.
• Ensure high levels of accuracy and attention to detail.
• Work under supervision for routine tasks and general guidance for special assignments.
• Maintain professionalism and effective communication at all times.

Customer Service Representative – Treasury Services

Recruitment

• Lead and manage a team of ~10 recruiters and recruiting admins (mix of onshore/offshore).
• Own full-cycle recruiting delivery across AI, Data, Digital, and Tech verticals.
• Develop and execute sourcing strategies for hard-to-find AI & GenAI talent using multiple channels.
• Build hiring strategies for new and emerging skill areas (LLMs, GenAI, ML, DataOps, Cloud, Analytics).
• Act as a player-coach: mentor, train, and motivate recruiters while directly contributing to strategic searches.
• Partner with business leaders and hiring managers to forecast needs, define roles, and deliver qualified pipelines.
• Drive process improvements, adoption of AI tools in recruiting, and “red-carpet” candidate experience.
• Ensure consistent metrics tracking, reporting, and performance management across the team.

Recruitment Lead – AI, Digital, Tech Talent

Business Intelligence Developer

• Design and develop interactive Power BI dashboards and reports using DAX, Power Query, and data modeling best practices.
• Collaborate with business users from P&C lines (Underwriting, Claims, Policy Admin, Actuarial, Finance) to understand KPIs, data requirements, and analytical objectives.
• Connect and integrate data from multiple sources such as SQL Server, Azure Data Lake, Guidewire, Duck Creek, Data Warehouse systems, or policy admin systems.
• Develop and optimize data models, measures, and calculations for performance and usability.
• Implement row-level security, data refresh automation, and governance standards within Power BI Service.
• Support data validation, reconciliation, and data quality initiatives.
• Work closely with data engineering teams to improve ETL pipelines feeding Power BI datasets.
• Document report logic, data lineage, and ensure version control for deliverables.

Power BI Developer, Data Analyst – P&C Insurance

• Design and develop Power BI reports and dashboards.
• Collaborate with business stakeholders to gather requirements and translate them into technical specifications.
• Optimize data models for performance and scalability.
• Ensure data accuracy and integrity in reporting.
• Provide training and support to end-users on Power BI tools.

Power BI Developer

Financial Planning and Analysis

• Analyze trends in KPIs, focusing on financial metrics such as sales, expenditures, and profit margins.
• Investigate root causes of unexpected variances in financial data.
• Enhance budgeting processes, financial projections, and operating forecasts.
• Deliver data-driven insights to support management and Finance Business Partner teams.
• Contribute to month-end reporting, variance analysis, and spend analysis.
• Prepare dashboards and reports to support EPM-related initiatives.
• Collaborate with cross-functional teams to improve business performance.
• Support data collation and analysis as required.