Sylvia Bier

Applications Support Technical Lead — Data Analytics / Azure / Databricks

Our client, a prestigious global firm, we seeking an experienced Applications Support Technical Lead for a long-term contract opportunity supporting global, Azure-based data analytics platforms. This is a hybrid role requiring 3 days per week onsite.

This is a hands-on technical leadership position focused on complex incident resolution, data platform troubleshooting, large dataset support, and root-cause analysis across modern Azure data environments.

The right candidate will serve as an escalation lead for challenging production issues involving large datasets, data pipelines, performance bottlenecks, configuration problems, and data-processing failures. You will work closely with support analysts, engineering teams, and product stakeholders to diagnose issues, guide resolution, and help create durable fixes.

This is a hybrid role with 3 days per week onsite. Key Responsibilities

• Lead technical support and escalation for complex data analytics application issues

• Troubleshoot large-scale data processing problems involving volume, performance, data quality, configuration, and transformation logic

• Investigate issues across Azure data services, Databricks, PySpark, SQL Server/DWH, ADLS, Delta, and Parquet

• Diagnose ETL, reporting, dataset upload, and data movement issues across cloud-based platforms

• Use advanced T-SQL skills to analyze, tune, and resolve production data issues

• Create reusable troubleshooting assets, including runbooks, query packs, diagnostics, and support documentation

• Coach analysts and partner with engineering/product teams to drive root-cause closure

Required Experience

• 8+ years of experience in application support, technical lead, data platform support, or production troubleshooting roles

• Strong hands-on experience with Azure data engineering and Python

• Working knowledge of Databricks and PySpark

• Strong T-SQL / data warehouse background, including stored procedures, functions, execution plans, indexing, CTEs, temp tables, and performance tuning

• Experience troubleshooting large datasets, data pipelines, ETL workflows, and reporting issues

• Strong understanding of relational database concepts and modern data platform support

• Excellent communication skills with the ability to explain complex technical issues clearly

Nice to Have

• Azure Data Factory experience

• ADLS file format expertise: Parquet/Delta vs. CSV/Excel

• Power BI, Alteryx, or advanced Excel

• MSBI / SSIS background

• ERP data experience with SAP or Oracle

• Basic accounting or financial dataset knowledge

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Our direct client, a growing, successful real estate investment firm is seeking a highly strategic and hands-on professional to build and integrate a modern AI-driven data framework across its investment and asset management platform. This is a newly created, high-impact role focused on leveraging data and AI to generate investment insights, improve decision-making speed, and expand opportunity sourcing.

This individual will operate at the intersection of investments, data science, and AI, partnering closely with senior leadership and investment teams to embed scalable, practical solutions into day-to-day workflows. The goal is not just building tools—but driving real adoption and unlocking measurable alpha.

Key Responsibilities

AI & Data Strategy

• Design and implement a scalable data and AI framework to support investment and asset management decisions

• Identify high-impact use cases where AI can accelerate insights, improve efficiency, and enhance returns

• Partner with investment leadership to align data initiatives with business strategy

Investment Insights & Deal Enablement

• Leverage AI and data analytics to enhance deal sourcing, screening, and underwriting processes

• Generate actionable insights from portfolio and market data to support investment decisions

• Expand the firm’s funnel of opportunities through smarter data aggregation and analysis

Data Infrastructure & Integration

• Work with large, unstructured datasets (e.g., deal files, SharePoint data) to structure, clean, and operationalize information

• Build or implement tools that make data more accessible, reliable, and usable across teams

• Enable faster and more cost-effective data processing using modern AI approaches

Adoption & Change Management

• Drive adoption of new tools and workflows across investment and operational teams

• Design solutions that integrate seamlessly into existing processes with minimal disruption

• Influence stakeholders and build consensus among senior partners and cross-functional teams

Cross-Functional Collaboration

• Partner with investments, asset management, compliance, and finance teams to identify opportunities and align priorities

• Serve as a bridge between technical capabilities and business needs

Qualifications

• 2-4+ years of experience across data science, analytics, or AI, with meaningful exposure to business or investment environments

• Strong understanding of how to apply AI and data tools to drive revenue, insights, or investment outcomes

• Experience working with large, unstructured datasets and building practical data solutions

• Demonstrated ability to build or deploy AI-driven tools or workflows (not just theoretical knowledge)

• Strong business acumen with an understanding of investment processes (real estate, private equity, or credit strongly preferred)

• Proven ability to influence stakeholders and drive adoption across senior teams

• Combination of technical depth and front-office mindset

What Makes This Role Unique

• Direct impact on investment performance and alpha generation

• Greenfield opportunity to build AI/data capabilities from the ground up

• High visibility with senior leadership and investment partners

• Focus on practical AI application, not theoretical or back-office reporting

This role is based in midtown NYC and is on-site 4 days/week, Fridays WFH.   Send resume today for immediate consideration and interview!  

By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Benchmark IT, LLC and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: https://bmarkits.com/privacy-policy/

SVP, MLOps / DevOps Engineer – Full Time – Hybrid We’re partnering with our client, a fast-growing fintech firm, on a senior-level MLOps-focused hire to help build and scale the infrastructure behind their AI and machine learning platforms. This is a highly visible, hands-on role where you’ll sit at the intersection of engineering, data, and cloud; helping bring AI/ML models into production in a secure, scalable, and automated way. The priority here is MLOps first, supported by strong DevOps experience across AWS, Kubernetes (EKS), and GitLab CI/CD. What You’ll Be Doing

• Build and scale MLOps pipelines across the full model lifecycle
• Help productionize AI/ML and GenAI (LLM) workloads
• Design and manage cloud infrastructure in AWS, leveraging Kubernetes (EKS)
• Develop and improve CI/CD pipelines (GitLab) for ML and platform services
• Partner closely with ML engineers to bring models into production
• Drive automation, reliability, and performance across the platform
• Implement monitoring, governance, and security for AI workloads

What They’re Looking For

• 15+ years of experience in MLOps, DevOps, or platform engineering
• Strong, hands-on MLOps experience in production environments (key priority)
• Deep experience with AWS (SageMaker preferred)
• Expertise with Kubernetes/EKS and containerized environments
• Experience building CI/CD pipelines using GitLab
• Strong scripting skills (Python or similar) and Infrastructure as Code (Terraform)
• Exposure to Generative AI / LLMs is a big plus
• Comfortable working cross-functionally in a fast-paced environment

Why This Role

• Opportunity to shape and scale AI infrastructure at a growing fintech
• High-impact, high-visibility role working across teams
• Strong compensation: $180K–$230K base + bonus + equity
• Hybrid model: 4 days onsite / 1 day remote (NYC area)

By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Benchmark IT, LLC and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: https://bmarkits.com/privacy-policy/

About the Role

Our client, a mission-driven healthcare and nonprofit organization, is seeking a Director of Information Technology & Health Systems to lead enterprise technology operations and healthcare systems strategy.

This senior-level leadership role combines hands-on technical expertise with strategic oversight, ensuring technology supports operational excellence, regulatory compliance, and high-quality care delivery. The Director will oversee enterprise infrastructure, cybersecurity, IT operations, and Electronic Health Record (EHR) systems while partnering closely with clinical, administrative, and executive leadership.

This is a fully onsite position in Middletown, NY.

Key Responsibilities

Technology Leadership & Strategy

• Develop and execute the organization’s IT strategy in alignment with operational goals and long-term growth.
• Partner with executive leadership on digital transformation initiatives, technology investments, and process improvements.
• Identify opportunities to improve efficiency, service delivery, and user experience through technology.

Infrastructure & IT Operations

• Oversee enterprise IT infrastructure including networks, servers, endpoints, backups, and cloud systems.
• Ensure systems remain secure, scalable, and highly available.
• Manage day-to-day IT operations including helpdesk support, device management, onboarding/offboarding, and vendor coordination.

Healthcare Technology & EHR Systems

• Lead administration and optimization of EHR platforms and supporting clinical applications.
• Partner with clinical teams to align technology with care workflows, reporting requirements, and operational needs.
• Drive interoperability, data integrity, and system usability across healthcare systems.

Cybersecurity, Governance & Compliance

• Maintain strong IT governance practices including cybersecurity, access controls, disaster recovery, and business continuity planning.
• Ensure compliance with healthcare security and privacy standards, including HIPAA.
• Develop and maintain IT policies, procedures, and risk mitigation strategies.

Leadership & Vendor Management

• Lead and mentor a small, high-performing IT team.
• Manage third-party vendors and service providers, ensuring quality, cost-efficiency, and contract performance.
• Foster a culture of accountability, continuous improvement, and strong customer service.

Required Experience

• 8+ years of progressive IT experience, including hands-on infrastructure management.
• 3+ years leading enterprise IT operations and technical teams.
• Experience supporting or managing Electronic Health Record (EHR) platforms such as Epic, Netsmart, NextGen, or similar systems.
• Strong understanding of enterprise infrastructure, cybersecurity, cloud systems, backups, patch management, and endpoint support.
• Working knowledge of HIPAA compliance and healthcare security standards.
• Strong communication skills with the ability to translate technical concepts for non-technical stakeholders.

Preferred Qualifications

• Bachelor’s degree in Information Technology, Computer Information Systems, or related field.
• Experience leading IT initiatives in healthcare, nonprofit, or highly regulated environments.
• Industry certifications such as PMP, ITIL, Azure, or related credentials.
• Experience managing multiple initiatives in fast-paced, mission-driven organizations.

By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Benchmark IT, LLC and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:https://bmarkits.com/privacy-policy/

Artificial Intelligence Engineer – Vice President About the Role iCapital is seeking a Vice President Artificial Intelligence Engineer to lead the design, development, and delivery of production-grade AI systems that drive measurable business outcomes across the firm. This role is ideal for a seasoned engineer with a track record of shipping complex AI systems end-to-end and someone who combines deep technical expertise with strong cross-functional partnership, architectural judgment, and able to operate as a force multiplier for the team. This individual will own key workstreams and serve as a technical leader, driving system design, mentoring engineers, partnering directly with business stakeholders, and ensuring that AI capabilities are built to production-grade standards of reliability, scalability, and measurability. This role is expected to bring independent judgment on technical approach, a bias toward delivery, and able to translate ambiguous business needs into well-scoped, well-executed solutions. Responsibilities

• Lead the architecture and delivery of production AI systems, including document intelligence (IDP), intelligent knowledge systems, and agentic orchestration, to power internal and external workflow automation at scale.
• Own AI projects end-to-end, from problem scoping and stakeholder alignment through solution design, implementation, deployment, monitoring, and continuous improvement, delivering tangible business outcomes with a track record of consistent, high-quality delivery.
• Drive technical design and architectural decisions for the team, including API design, system decomposition, evaluation strategy, and infrastructure patterns, establishing standards that raise the quality bar across the AI/ML platform.
• Architect and champion robust evaluation frameworks for AI systems, defining statistically sound, problem-specific metrics, curating benchmark datasets, and enforcing strict versioning to ensure reproducibility and continuous improvement.
• Partner directly with cross-functional stakeholders, including the Product, Operations, Legal, and Business teams, to identify AI opportunities, translate requirements into technical plans, and communicate tradeoffs, risks, and recommendations clearly.
• Mentor and develop engineers on the team through code review, design review, pair problem-solving, and knowledge sharing, acting as a technical role model and raising the overall capability of the group.
• Identify systemic problems and propose solutions, proactively improving team processes, tooling, and infrastructure to reduce technical debt and increase development velocity.

  Qualifications

• 7+ years of experience developing production AI/ML systems, including hands-on experience with AWS or cloud-native development patterns for AI/ML workloads and a demonstrated track record of delivering complex systems from inception through production
• Strong proficiency in Python and demonstrated ability to build well-engineered, maintainable software, including adherence to software engineering best practices (i.e. source control, CI/CD, testing, and documentation)
• Deep expertise in at least one of the following: LLM-based systems (fine-tuning, inference optimization, prompt engineering, modern tooling AI tooling, such as transformers, vLLM, or agentic frameworks), document intelligence and IDP, or ML system design (training pipelines, model serving, evaluation infrastructure)
• Experience designing and operating end-to-end ML pipelines in production, including model training, deployment, monitoring, and iteration (MLOps)
• Solid fundamentals in statistics, experimentation, and data quality with the ability to reason rigorously about metrics, error patterns, and the limitations of AI systems
• Experience leading technical design, mentoring engineers, and driving architectural decisions within a team
• Strong written and verbal communication skills to represent the team in cross-functional settings, document technical designs, and communicate effectively with both technical and non-technical stakeholders
• Experience spanning more than one of LLM systems, document intelligence, and ML platform and infrastructure
• Familiar with agentic architectures and protocols (i.e. MCP andA2A) or designing multi-step, tool-using AI workflows
• Knowledge of cost and latency optimization for LLM inference at scale (i.e. quantization, batching strategies, and model routing)
• Prior experience in financial services or FinTech, particularly in document-heavy or compliance-sensitive domains
• Contributions to open-source projects or published technical writing demonstrating thought leadership in applied AI

Benefits The base salary range for this role is $170,000 to $200,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.  

Application Support and Operations Manager Location: Montvale, NJ (Hybrid – 3 days/week onsite) Duration: Long-term contract Environment: Azure / .NET / SQL Server / Global Application Support Overview We seek an experienced Application Support and Operations Manager to oversee the global support operations for a key global application with more than 80,000 users. This individual will serve as the right hand to the Application Support Director, taking ownership of daily operations. The role involves managing a team of approximately eight Application Support Analysts (onshore and offshore) responsible for maintaining uptime, ticket response, and issue resolution across six large Azure-based production environments used by the company’s global teams. Responsibilities

• Lead day-to-day operations of the Application Support and Operations team, ensuring timely and accurate ticket triage, troubleshooting, and resolution.
• Collaborate with a team of other Support Analysts (both onshore and offshore).
• Act as the escalation point for complex incidents, performing hands-on troubleshooting and root cause analysis as needed.
• Collaborate closely with Microsoft other vendors and internal engineering teams on Azure performance, environment stability, and release management.
• Review and analyze logs, daily performance reports, and service metrics to ensure consistent application uptime and SLA adherence.
• Maintain strong communication and coordination across business, technical, and vendor teams.
• Implement best practices for incident, problem, and change management (ITIL).
• Drive continuous improvement across the support function — adoption of AI Agents, process automation, proactive monitoring, documentation, and knowledge sharing.
• Report KPIs, trends, and operational insights to leadership.

Qualifications

• At least 6+ years of experience in Application Support, Production Operations, or Technical Service Management, including 3+ years in a leadership or management capacity.
• Bachelor’s degree in Computer Science, Information Systems, or related discipline is preferred
• Strong understanding of Microsoft Azure architecture, monitoring, and operational tools.
• Technical proficiency in .NET / C#, SQL Server, and IIS/WCF/Windows-based application environments.
• Hands-on ability to review logs, write SQL queries, and interpret system performance data.
• Prior experience managing offshore support teams and coordinating global operations.
• Excellent written and verbal communication skills; ability to interface effectively with vendors, engineers, and business stakeholders.
• Knowledge of ServiceNow, Application Insights, and ITIL-based processes.
• Experience with applying AI to application support/ticketing systems and processes is a big plus, as the customer is introducing several different AI Agents to assist with ticket triage and processing. 

This position requires 3 days/week onsite in the Northern NJ office.  Long-term (12 mo + contract position).  Immediate interview and hire, send resume today for immediate consideration! By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Benchmark IT, LLC and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: https://bmarkits.com/privacy-policy/

Our direct client, based in White Plains, NY, is seeking an AI-forward Technical Lead who leverages cutting-edge AI tools to transform software development processes. This is a long-term contract position (12-36+ months) with likely extension beyond. This role is a hybrid on-site position and you will be required to work on-site 4 days per week in White Plains, NY.

In this role, the Java Tech Lead will champion the integration of AI into every aspect of the development lifecycle while maintaining responsibility for the overall design, implementation and quality of the code the team produces across one or more projects. You will be expected to proactively identify opportunities to enhance development efficiency, code quality, and team productivity through AI tools and processes. You will partner with IT leadership, architecture, and development staff to establish AI-enhanced vision, strategy and road maps that align with business strategies and organizational priorities. You must collaborate with peers and leadership to leverage AI-driven knowledge and solutions across the organization.

This position is within a development group focused on leading the delivery of best-in-class systems to support client's business lines, across all channels. These include customer and internal applications built on AWS using Microservices Architecture and other AWS components that integrate with existing on-prem systems and databases.

Organizational Relationships:

The Technical Lead reports to the Director of Development and is accountable for daily status on tech design, development, and resource management. The Lead will collaborate with team members to define requirements, design, and develop mission critical applications while continuously exploring and implementing AI-enhanced workflows.

The Technical Lead works with:

• Delivery leads to staff projects with associates, contractors, and/or third party teams
• Project managers on a plan and estimates
• Architecture and delivery leads on solution blueprints
• QA and delivery leads on functional testing, integration testing, performance testing and to triage defects
• Service introduction on hand-off to application operations team

Qualifications:

• Proven experience utilizing AI tools for Java software development including code generation, review, documentation, testing, and debugging (e.g., Amazon Q, GitHub Copilot, or similar platforms)
• Proactive, self-directed mindset for identifying and implementing AI-driven process improvements without waiting for top-down directives
• Strong prompt engineering skills and commitment to continuous exploration of emerging AI tools to enhance development workflows
• 8+ years experience in Java backend development demonstrating increasing levels of responsibility
• Experience leading a team of 3 or more software developers and mentoring them in AI-enhanced development practices
• Bachelor's degree in computer science or equivalent experience
• Experience producing solution designs for large-scale, highly available, mission-critical systems
• Proficient in designing, creating and consuming Web Services (REST, JSON, OAuth), multi-tier or microservice applications in Java and large scale database applications
• Strong experience in SQL and data modeling
• Demonstrate sound architecture skills and broad experience designing applications
• Ability to communicate complex technical design concepts and translate into non-technical business solutions
• Able to communicate well with all levels in the organization, and must be comfortable as a primary contact to internal and external customers
• Excellent oral and written communication skills
• Experience in Agile, Waterfall and other software development methodologies

Preferred Qualifications:

• Experience with developing within a Cloud environment with good knowledge of cloud infrastructure like AWS is a plus
• Hands-on experience with Amazon Q and Hero (current company AI tools)
• Python scripting experience
• Angular experience strongly preferred for any frontend development needs
• Experience with ecommerce, retail, and financing is a plus

To ensure a fair and secure hiring process, candidates must complete live video interviews with cameras on and present valid government-issued identification during the process. All interviews are conducted directly with our internal team - proxy interviewing is not permitted.

Apply today for immediate consideration! This is immediate, interview and hire.

By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Benchmark IT, LLC and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: https://bmarkits.com/privacy-policy/