AspenView Technology Partners

Role Description AspenView Technology Partners is seeking an AI Data Engineer to work on a contract basis with one of our clients. You'll be reporting directly to the company executive leadership (SVP and COO), you will create visibility into operations by connecting and unifying data from a mature, federated systems landscape — with an AS/400 core — and turning it into reports, dashboards, and AI-ready data products. A central part of the role is building agentic connectors that let AI tools work safely and securely with company data, backed by disciplined management of syntax, schema, and the semantic layer. You will partner closely with the company IT team while delivering executive-level insight — helping the business move from ad hoc Excel and Claude analysis to dependable, enterprise-wide intelligence. What you will do: - Executive Reporting & Dashboards Security & Governance - Build reports and dashboards that give executive leadership clear, timely visibility into operations, working under their direction. - Translate leadership questions into well-structured, trustworthy data products. - Data Integration & Access - Connect and unify data from disparate sources across a federated landscape — including the AS/400 core — without a wholesale data-lake migration. - Reconcile mismatched data from bolt-on acquisitions (e.g., SKUs, warehousing, safety records) to maintain integrity and comparability. - Agentic Connectors & AI Enablement - Build agentic connectors that let AI tools — such as Claude — work with company data reliably. - Protect and secure those connectors: scoped access, authentication, and safe handling of sensitive data. - Schema, Syntax & Semantic Layer - Manage syntax, schema, and a semantic layer so data is consistent, well-defined, and ready for both analysts and AI. - Establish shared definitions and metrics that hold up across systems and acquisitions. - Collaboration & Delivery - Partner with AMCON’s IT team for access, cooperation, and knowledge of the existing environment. - Deliver iteratively — prioritizing the insights leadership needs most — and document what you build. Qualifications - Solid data engineering experience, with a track record of building reports and dashboards that stand up to executive scrutiny. - Practical AI fluency — comfort using tools like Claude and building and securing agentic connectors (e.g., MCP-style integrations) between AI and enterprise data. - Strong skills in syntax, schema, and semantic-layer management, and in reconciling disparate data sources. - Experience integrating data through a federated approach — querying and connecting sources — rather than relying solely on a central data lake. - Familiarity accessing data from legacy / enterprise systems, ideally AS/400 (IBM i) / DB2, via ODBC, APIs, or equivalent. - Strong SQL and a scripting language (e.g., Python), with sound data modeling fundamentals. - A security-first mindset for connectors and data access, with good judgment about sensitive information. - Excellent written and spoken English, the confidence to work directly with C-suite stakeholders, and self-directed delivery in a lean-IT environment. Nice if you have: - Hands-on AS/400 (IBM i) / DB2 data extraction and modernization experience. - BI platform experience (Power BI or similar) and semantic modeling. - MCP (Model Context Protocol) or other agentic connector / integration experience. - Background in wholesale distribution, supply chain, logistics, or retail data. - Experience unifying data after acquisitions (M&A data integration). - Data governance and security tooling experience. Equal Opportunity Employer AspenView is proud to be an equal opportunity employer. We believe in creating an environment where all employees feel welcome, valued, and empowered to succeed. We celebrate diversity and strive to build a culture of inclusion where all individuals, regardless of their race, color, gender, gender identity or expression, sexual orientation, disability, age, or any other characteristic, can thrive. We encourage applicants from all walks of life to join our team and make a lasting impact.

Role Description The Functional / Process Consultant is responsible for translating complex business and control requirements into scalable Identity Governance & Administration (IGA) processes. This role leads the design of the target state from a low-maturity, manual baseline, establishing structured access governance across the enterprise. You will hold accountability across requirements gathering, workflow design, certification campaigns, and operating model recommendations, acting as the primary interface with key business stakeholders to ensure a secure, compliant, and user-adopted IGA rollout. This is a remote opportunity open to candidates located anywhere in Europe or Latin America (LATAM), provided they can operate during standard European business hours. - IGA Strategy & Process Design - Translate overarching business and control requirements into workable, efficient IGA processes and workflows. - Design the target state architecture and processes from a near-zero baseline, replacing manual ad-hoc ticketing and email approvals with structured governance. - Access Governance & Certification - Lead requirements workshops to conceptualize and design access request workflows and comprehensive access certification campaigns. - Define Segregation of Duties (SoD) rulesets, ensuring robust compliance and risk mitigation across critical business systems (e.g., SAP finance and procurement). - Role Modeling & Stakeholder Management - Develop and implement Role-Based Access Control (RBAC) models from the ground up, resolving complex environments of flat groups and custom profiles. - Drive change management initiatives and provide user adoption support to guarantee the successful rollout of IGA platforms across the business. - Tools & Technologies: - IGA Platforms: Functional configuration and architecture within SailPoint or Saviynt. - Enterprise Systems: Integration and ruleset definition for SAP (Finance/Procurement) and ITSM tools like ServiceNow. Qualifications - Demonstrated background in IGA functional design specifically for large-scale, enterprise-level programs. - Deep practical experience in access certification campaign design, SoD ruleset definition, and stakeholder management. - Proven ability to design and implement robust RBAC models starting from low-maturity baselines. - Strong capabilities guiding change management and ensuring high user adoption during enterprise security rollouts. - Must be based in Europe or LATAM with the ability to consistently work within the European time zone. Nice if you have: - Experience driving IGA initiatives in complex, global, or multi-geography programs. - Familiarity with designing lifecycle processes for third-party vendors and contractors. - Experience in designing governance frameworks for Non-Human Identities (NHI). - Background in defining target operating models and facilitating Business as Usual (BAU) transition design. - Formal functional certifications in SailPoint or Saviynt are highly desirable, though strong practical experience is equally valued. Equal Opportunity Employer AspenView is proud to be an equal opportunity employer. We believe in creating an environment where all employees feel welcome, valued, and empowered to succeed. We celebrate diversity and strive to build a culture of inclusion where all individuals, regardless of their race, color, gender, gender identity or expression, sexual orientation, disability, age, or any other characteristic, can thrive. We encourage applicants from all walks of life to join our team and make a lasting impact.

Role Description Establish and operationalize security controls for emerging Artificial Intelligence and Machine Learning capabilities across the enterprise. This role is responsible for embedding security into AI solution design, protecting AI models and data pipelines, and enabling secure adoption of AI use cases across business and technology functions. The role works closely with Digital, Data, AI, Security Architecture, Engineering, and Cyber Defense Operations teams to define secure AI architecture patterns, implement guardrails, and ensure AI platforms operate within client’s cybersecurity, risk, and governance standards. The ideal candidate combines strong cybersecurity engineering capability with practical knowledge of AI platforms, model risks, and enterprise technology integration. What you will do: - AI Security Architecture & Engineering - Define secure architecture patterns for AI and machine learning solutions, ensuring protection of models, training pipelines, inference environments, and supporting data flows. - Establish secure integration patterns for AI services across enterprise applications, APIs, cloud platforms, and data environments. - Review AI solution designs to ensure alignment with enterprise security architecture standards and secure-by-design principles. - Support implementation of secure controls across AI development, testing, deployment, and production environments. - AI Risk Management & Security Controls - Identify, assess, and mitigate AI-specific threats including model poisoning, prompt injection, adversarial attacks, unauthorized model access, data leakage, and misuse of AI outputs. - Define and implement security guardrails for AI model access, API usage, prompt controls, and secure interaction with enterprise data sources. - Establish controls to protect sensitive training data, embeddings, prompts, and inference outputs across AI workflows. - Support validation of third-party AI services and external model integrations from a cybersecurity risk perspective. - Governance, Standards & Responsible AI Enablement - Establish AI security standards, engineering guardrails, and governance practices aligned with regulatory requirements, enterprise risk expectations, and responsible AI principles. - Partner with Digital and AI teams to enable secure AI use cases where security accelerates responsible business adoption rather than acts as a blocker. - Support creation of AI security review checkpoints for new AI initiatives, pilots, and production deployments. - Contribute to enterprise AI security policies, reference architectures, and operational standards. - Operational Security & Monitoring - Collaborate with Cyber Defense Operations to operationalize AI-related detection, monitoring, and response capabilities. - Support development of monitoring use cases for AI misuse, abnormal model behavior, unauthorized access, and suspicious data movement. - Define logging and telemetry requirements for AI platforms to improve visibility and incident readiness. - Support integration of AI platform telemetry into enterprise detection and monitoring tools where applicable. - Cross-Functional Collaboration - Work closely with Security Architecture, Cloud Engineering, Data teams, Application teams, and AI program owners to ensure consistent security adoption. - Support security reviews for AI vendors, AI-enabled SaaS platforms, and internally developed AI capabilities. - Provide technical guidance to project teams on secure AI implementation and operational controls. Qualifications - 5–8 years of cybersecurity engineering or security architecture experience, with exposure to cloud security, data protection, or application security. - Experience working with enterprise AI, machine learning, analytics platforms, or data-driven technology environments. - Practical understanding of AI/ML deployment patterns, APIs, model lifecycle, and enterprise data integration. - Experience with Microsoft Azure AI services, OpenAI integrations, Databricks, or enterprise AI platforms preferred. - Familiarity with emerging AI governance frameworks and responsible AI standards. - Experience with Secure AI controls embedded into enterprise AI initiatives without slowing adoption. - Clear visibility into AI-related cyber risks and mitigation actions and ability to translate emerging AI risks into practical engineering controls. - Practical AI guardrails established for data, model access, and operational use. - Strong alignment between AI innovation, enterprise security, and regulatory expectations. - Security certifications such as CISSP, CCSP, or cloud security certifications preferred. Security Engineering Skills - Strong understanding of cybersecurity controls across cloud, applications, APIs, identity, and data protection. - Familiarity with AI/ML risks including prompt injection, model abuse, data leakage, and adversarial techniques. - Knowledge of secure architecture principles for modern digital and AI platforms. Equal Opportunity Employer AspenView is proud to be an equal opportunity employer. We believe in creating an environment where all employees feel welcome, valued, and empowered to succeed. We celebrate diversity and strive to build a culture of inclusion where all individuals, regardless of their race, color, gender, gender identity or expression, sexual orientation, disability, age, or any other characteristic, can thrive. We encourage applicants from all walks of life to join our team and make a lasting impact.

Role Description As a Mid-Level AI Engineer, you sit at the intersection of AI-assisted development and software quality assurance. You won't be writing boilerplate — you will co-create with LLMs, mature our in-house QA testing framework, and ensure our AI workflows are reliable, predictable, and built to scale. This role is ideal for a builder who thrives in early-stage environments, loves experimentation, and takes real pride in clean, well-tested code. - Embrace the "vibe coding" philosophy — use LLMs and AI coding assistants to rapidly prototype, write, and iterate on Python applications. - Design, execute, and maintain automated test suites using Alambda's proprietary in-house QA tools for complex software systems. - Work closely with foundational models to optimize prompts, evaluate outputs, and handle edge cases in LLM-driven features. - Maintain and improve internal Python scripts and testing frameworks to ensure seamless integration with our core product. - Partner with product and engineering teams across global time zones (US EST/PST) to ensure software alignment and rapid deployment. Qualifications - 3+ years of professional Python experience — writing clean, readable, and maintainable code. - Hands-on experience integrating LLM APIs (OpenAI, Anthropic Claude, Llama, or similar), including prompt engineering and API output management. - Strong QA fundamentals: unit testing (pytest / unittest), integration testing, and regression testing at scale. - Solid Git workflow and familiarity with CI/CD pipelines (GitHub Actions, GitLab CI, or equivalent). - Active use of AI coding companions (Copilot, Cursor, Windsurf) and the ability to audit AI-generated code for security and performance issues. - High tolerance for ambiguity, a passion for rapid iteration, and the ability to pivot quickly based on AI outputs and prototyping results. - Excellent English communication skills — written and verbal — and proven ability to work autonomously in a fully remote, async-first environment. Requirements - Experience building or meaningfully contributing to internal Python frameworks, SDKs, or developer tooling beyond standard application code. - An active open-source or personal AI/ML project portfolio — GitHub repos, experiments, technical blog posts, or community contributions — that demonstrates self-driven exploration of the AI landscape. Equal Opportunity Employer AspenView is proud to be an equal opportunity employer. We believe in creating an environment where all employees feel welcome, valued, and empowered to succeed. We celebrate diversity and strive to build a culture of inclusion where all individuals, regardless of their race, color, gender, gender identity or expression, sexual orientation, disability, age, or any other characteristic, can thrive. We encourage applicants from all walks of life to join our team and make a lasting impact.

Role Description The Mid-Level GRC Analyst operates at the intersection of compliance, risk, and operational integrity. You will be more than a compliance checker—you will be a strategic partner in protecting our organization's reputation and resilience. By embedding continuous audit readiness, strengthening our risk posture, and enabling teams to move fast without compromising on security or compliance, your work will directly shape how we meet industry standards, pass audits with confidence, and build a culture of accountability. - Lead and execute internal audits across business units, ensuring alignment with frameworks such as ISO 27001, SOC 2, HIPAA, or SOX. - Maintain and enhance our GRC platform (e.g., Archer, ServiceNow GRC, or similar) to track controls, risks, and remediation activities. - Partner with IT, Security, and Operations teams to assess risks in new projects, vendors, and technologies. - Support certification and regulatory compliance efforts by preparing documentation, evidence, and audit responses. - Monitor and report on key risk indicators (KRIs) and control effectiveness metrics to leadership. - Drive continuous improvement by identifying gaps, recommending process enhancements, and implementing best practices. Qualifications - 3–5 years of experience in governance, risk, and compliance, preferably in a technology-driven or regulated industry. - Hands-on experience with GRC tools (e.g., Archer, LogicGate, ServiceNow GRC) and audit management workflows. - Familiarity with compliance frameworks such as ISO 27001, SOC 2, NIST CSF, HIPAA, or SOX. - Strong analytical skills with the ability to translate complex regulations into actionable controls. - Excellent communication skills—you can explain risk and compliance concepts to both technical and non-technical audiences. - A proactive, detail-oriented mindset with a passion for building secure, compliant, and ethical business practice. Equal Opportunity Employer AspenView is proud to be an equal opportunity employer. We believe in creating an environment where all employees feel welcome, valued, and empowered to succeed. We celebrate diversity and strive to build a culture of inclusion where all individuals, regardless of their race, color, gender, gender identity or expression, sexual orientation, disability, age, or any other characteristic, can thrive. We encourage applicants from all walks of life to join our team and make a lasting impact.

Role Description AspenView Technology Partners is recruiting a GTM Engineer for a fast-growing Managed Service Provider specializing in Go-To-Market systems. You will be embedded directly with client accounts, owning end-to-end design, implementation, and optimization of GTM and Revenue Operations infrastructure. This is a high-impact, client-facing role at the intersection of strategy and execution — building AI-native, automated systems that drive real pipeline results. The role begins as a contract engagement (3–6 months) with a clear path to full-time conversion for top performers. - Architect and manage end-to-end GTM automation workflows using no-code/low-code platforms (Clay, Make.com, n8n, Apify), covering lead enrichment, intent-signal routing, ICP scoring, and multi-channel sequencing. - Integrate AI-powered components via API — including LLMs (OpenAI, Anthropic, Gemini), voice AI, and custom ML models — to enable personalized outreach, predictive scoring, and real-time lead qualification. - Build and maintain data acquisition pipelines (web scraping, waterfall enrichment, signal aggregation) in compliance with GDPR and CCPA standards. - Connect GTM workflows to CRM platforms (Salesforce, HubSpot), marketing automation tools (Marketo, ActiveCampaign), and outbound tools (Outreach, Salesloft, Apollo) via REST and GraphQL APIs. - Diagnose, optimize, and scale high-volume automation infrastructure, managing error handling, retry logic, and uptime SLAs in live environments. - Run discovery and scoping sessions with client stakeholders (founders, VPs of Sales, RevOps leads, CMOs) and deliver clear architecture documentation, runbooks, and training guides. - Define and track performance metrics per engagement: time saved, reply rates, pipeline velocity, MQL-to-SQL conversion, and cost-per-opportunity. - Run structured A/B tests on outreach copy, sequencing logic, and enrichment flows to continuously improve performance. Qualifications - 3+ years in GTM Engineering, RevOps, Sales/Marketing Automation, Technical Consulting, or a closely related role at a high-growth startup, agency, or consulting firm. - Demonstrated experience delivering automation projects in a client-facing or professional services context — managing scope, timelines, and stakeholders. - Deep, hands-on expertise in Clay, Make.com, n8n, and/or Apify — able to build complex multi-step workflows from scratch. - Strong API fluency: reading documentation, authenticating, testing endpoints, and building reliable REST and GraphQL integrations. - Working proficiency in Python and/or JavaScript to write custom functions, transform data, and extend no-code platforms. - Familiarity with LLM API usage (OpenAI, Anthropic, etc.) and prompt engineering for practical GTM applications. - Excellent communicator — able to explain technical work clearly to non-technical stakeholders without hiding behind jargon. - Highly autonomous and self-directed, capable of managing multiple client engagements without constant oversight. Nice if you have - Experience with AI agent frameworks or orchestration tools (LangChain, CrewAI, n8n agents, Clay AI columns). - Background in cloud infrastructure (AWS/GCP/Azure), containerization (Docker), or data warehousing (Snowflake, BigQuery). - Track record of building systems that moved a measurable metric: pipeline generated, time saved, or conversion rates improved. Equal Opportunity Employer AspenView is proud to be an equal opportunity employer. We believe in creating an environment where all employees feel welcome, valued, and empowered to succeed. We celebrate diversity and strive to build a culture of inclusion where all individuals, regardless of their race, color, gender, gender identity or expression, sexual orientation, disability, age, or any other characteristic, can thrive. We encourage applicants from all walks of life to join our team and make a lasting impact.

About the role We're building secure, scalable, and automated data solutions on Azure — and we're looking for a Data Engineer who can bridge the worlds of data architecture and cloud security. You'll be joining a team that works on complex, high-impact data platforms where engineering rigor and security best practices go hand in hand. This is a fully remote position. What you will do: - Design, plan, and implement secure and scalable data architectures on Azure (on-premise and cloud) - Build and maintain ETL/ELT pipelines using Azure Data Factory, Databricks, and Azure Functions - Develop and optimize data platforms for analytics and decision-making (Data Warehouse / Lakehouse) - Write and maintain data processing code using Python and PySpark - Implement and manage Azure networking and security components (Firewall, VNET, Private Endpoints, NSG/ASG, FrontDoor) - Deploy and manage infrastructure using Terraform or Bicep (IaC) - Set up and maintain CI/CD pipelines via Azure DevOps or GitHub Actions - Lead technical projects or engineering teams, ensuring delivery and quality standards - Collaborate on data governance and security practices across the data platform What you bring: - 3+ years of experience as an analyst or engineer in development, databases, data governance, or data architecture - 3+ years designing and automating data architectures in cloud and on-premise environments - Hands-on experience with the core Azure data stack: Data Factory, Databricks, Azure Functions, and Microsoft Fabric - Strong SQL skills and experience with both relational and non-relational databases - Proficiency in Python and PySpark for data processing - Solid understanding of Azure networking and security (VNET, Firewall, Private Link, NSG/ASG) - Experience with Infrastructure as Code (Terraform or Bicep) and CI/CD pipelines - Proven track record leading teams or technical projects Nice if you have: - Azure Associate or Expert certification - English proficiency at B2 level or above - Experience with Azure Synapse or Microsoft Fabric - Familiarity with Site-to-Site VPN or ExpressRoute for on-prem connectivity - Experience working in complex or regulated environments - Background in data governance and security frameworks - Experience with self-hosted agents in CI/CD pipelines Equal Opportunity Employer: AspenView is proud to be an equal opportunity employer. We believe in creating an environment where all employees feel welcome, valued, and empowered to succeed. We celebrate diversity and strive to build a culture of inclusion where all individuals, regardless of their race, color, gender, gender identity or expression, sexual orientation, disability, age, or any other characteristic, can thrive. We encourage applicants from all walks of life to join our team and make a lasting impact.

About the role At iData, we're building secure, scalable, and automated data solutions on Azure — and we're looking for a Data Engineer who can bridge the worlds of data architecture and cloud security. You'll be joining a team that works on complex, high-impact data platforms where engineering rigor and security best practices go hand in hand. This is a fully remote position. What you will do: - Design, plan, and implement secure and scalable data architectures on Azure (on-premise and cloud) - Build and maintain ETL/ELT pipelines using Azure Data Factory, Databricks, and Azure Functions - Develop and optimize data platforms for analytics and decision-making (Data Warehouse / Lakehouse) - Write and maintain data processing code using Python and PySpark - Implement and manage Azure networking and security components (Firewall, VNET, Private Endpoints, NSG/ASG, FrontDoor) - Deploy and manage infrastructure using Terraform or Bicep (IaC) - Set up and maintain CI/CD pipelines via Azure DevOps or GitHub Actions - Lead technical projects or engineering teams, ensuring delivery and quality standards - Collaborate on data governance and security practices across the data platform What you bring: - 3+ years of experience as an analyst or engineer in development, databases, data governance, or data architecture - 3+ years designing and automating data architectures in cloud and on-premise environments - Hands-on experience with the core Azure data stack: Data Factory, Databricks, Azure Functions, and Microsoft Fabric - Strong SQL skills and experience with both relational and non-relational databases - Proficiency in Python and PySpark for data processing - Solid understanding of Azure networking and security (VNET, Firewall, Private Link, NSG/ASG) - Experience with Infrastructure as Code (Terraform or Bicep) and CI/CD pipelines - Proven track record leading teams or technical projects Nice if you have: - Azure Associate or Expert certification - English proficiency at B2 level or above - Experience with Azure Synapse or Microsoft Fabric - Familiarity with Site-to-Site VPN or ExpressRoute for on-prem connectivity - Experience working in complex or regulated environments - Background in data governance and security frameworks - Experience with self-hosted agents in CI/CD pipelines Equal Opportunity Employer: AspenView is proud to be an equal opportunity employer. We believe in creating an environment where all employees feel welcome, valued, and empowered to succeed. We celebrate diversity and strive to build a culture of inclusion where all individuals, regardless of their race, color, gender, gender identity or expression, sexual orientation, disability, age, or any other characteristic, can thrive. We encourage applicants from all walks of life to join our team and make a lasting impact.

• Establish and operationalize security controls for emerging Artificial Intelligence and Machine Learning capabilities across the enterprise. • Embed security into AI solution design, protecting AI models and data pipelines, and enabling secure adoption of AI use cases across business and technology functions. • Work closely with Digital, Data, AI, Security Architecture, Engineering, and Cyber Defense Operations teams to define secure AI architecture patterns, implement guardrails, and ensure AI platforms operate within client’s cybersecurity, risk, and governance standards. • Define secure architecture patterns for AI and machine learning solutions, ensuring protection of models, training pipelines, inference environments, and supporting data flows. • Establish secure integration patterns for AI services across enterprise applications, APIs, cloud platforms, and data environments. • Review AI solution designs to ensure alignment with enterprise security architecture standards and secure-by-design principles. • Support implementation of secure controls across AI development, testing, deployment, and production environments. • Identify, assess, and mitigate AI-specific threats including model poisoning, prompt injection, adversarial attacks, unauthorized model access, data leakage, and misuse of AI outputs. • Define and implement security guardrails for AI model access, API usage, prompt controls, and secure interaction with enterprise data sources. • Establish controls to protect sensitive training data, embeddings, prompts, and inference outputs across AI workflows. • Support validation of third-party AI services and external model integrations from a cybersecurity risk perspective. • Establish AI security standards, engineering guardrails, and governance practices aligned with regulatory requirements, enterprise risk expectations, and responsible AI principles. • Partner with Digital and AI teams to enable secure AI use cases where security accelerates responsible business adoption rather than acts as a blocker. • Support creation of AI security review checkpoints for new AI initiatives, pilots, and production deployments. • Contribute to enterprise AI security policies, reference architectures, and operational standards. • Collaborate with Cyber Defense Operations to operationalize AI-related detection, monitoring, and response capabilities. • Support development of monitoring use cases for AI misuse, abnormal model behavior, unauthorized access, and suspicious data movement. • Define logging and telemetry requirements for AI platforms to improve visibility and incident readiness. • Support integration of AI platform telemetry into enterprise detection and monitoring tools where applicable. • Work closely with Security Architecture, Cloud Engineering, Data teams, Application teams, and AI program owners to ensure consistent security adoption. • Support security reviews for AI vendors, AI-enabled SaaS platforms, and internally developed AI capabilities. • Provide technical guidance to project teams on secure AI implementation and operational controls.

• Own the customer lifecycle for ServiceNow accounts • Drive adoption and measurable outcomes • Build strong stakeholder relationships • Lead business reviews and success planning • Support renewals and account growth