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Were looking for an IT FP&A Analyst to join our Finance IT group, owning the full planning cycle and serving as a key bridge between Finance and IT. This role combines strong FP&A expertise with deep hands-on experience in Workday Adaptive Planning (or equivalent).
As part of the IT organization, you will not only support financial planning processes but also drive AI and automation innovation - identifying opportunities where technology can eliminate manual work and enhance financial decision-making. This is a highly impactful role for someone who brings both system ownership credibility and a forward-thinking, tech-driven mindset.
How will you make an impact? 
FP&A & Planning Systems
Own Workday Adaptive Planning - model structure, data loaders, dimensions, user access
Drive the full FP&A cycle: budgeting, forecasting, headcount, sales incentive, and COW models
Validate data accuracy across R2R and FP&A processes; support month/quarter-end close
| Maintain data flows between source systems, Workday Financials, and planning/BI tools
Build and maintain Power BI financial dashboards for Corporate Services AI & Innovation
AI & Innovation
Lead the AI and automation agenda for FP&A systems within the Finance IT team
Pilot AI tools to reduce manual effort, improve forecast accuracy, and accelerate reporting
Lead system enhancements end-to-end and partner with stakeholders on new entity rollouts.

We are seeking a Senior Cloud Architect to join our company IT AI and own the Azure cloud and AI infrastructure that powers intelligent automation across the enterprise.
This is a deeply hands-on role. You will design, build, and govern the full-stack architecture, from enterprise networking and private connectivity up to AI orchestration, delivering the platform to the development teams while partnering with the Systems, Network, and Security teams to connect, govern, and approve every design before it goes live.
How will you make an impact? 
You will own our company's IT AI cloud architecture end-to-end, combining hands-on Azure engineering with architectural leadership across these areas:
Cloud Architecture Design & Implementation
Own the end-to-end Azure architecture for AI workloads (LLMs, RAG, vector DBs, Graph, agents, MLOps) across all platform layers, with reference designs and ADRs.
Enterprise Networking & Private Connectivity
Design hub-and-spoke VNets, private connectivity (Private Endpoints, Private DNS), firewall/ingress patterns, and isolated multi-environment topology (prod / dev / test).
AI Developer Toolchain & Platform Engineering
Architect the developer AI stack, Azure AI Foundry, GitHub Copilot, Claude/MCP, Models Gateway, and scaled tooling distribution (MDM / Intune).
CI/CD, DevOps & Platform Automation
Establish CI/CD (GitHub Actions), Infrastructure-as-Code (Terraform / Bicep), and compute, MLOps/LLMOps, and FinOps practices with the DevOps team.
Identity, Security & Governance
Design IAM and auth flows (Entra ID, OIDC/JWT, API gateway validation) and the observability stack, and secure Security-team review and approval of every architecture.
Cross-functional Leadership
Act as architectural liaison across AI CoE, Development, DevOps, Infrastructure, Systems, Network, and Security; mentor engineers and own the platform roadmap.

We are seeking a Senior Cloud Architect to join our company IT AI and own the Azure cloud and AI infrastructure that powers intelligent automation across the enterprise.
This is a deeply hands-on role. You will design, build, and govern the full-stack architecture, from enterprise networking and private connectivity up to AI orchestration, delivering the platform to the development teams while partnering with the Systems, Network, and Security teams to connect, govern, and approve every design before it goes live.
How will you make an impact? 
You will own our company's IT AI cloud architecture end-to-end, combining hands-on Azure engineering with architectural leadership across these areas:
Cloud Architecture Design & Implementation
Own the end-to-end Azure architecture for AI workloads (LLMs, RAG, vector DBs, Graph, agents, MLOps) across all platform layers, with reference designs and ADRs.
Enterprise Networking & Private Connectivity
Design hub-and-spoke VNets, private connectivity (Private Endpoints, Private DNS), firewall/ingress patterns, and isolated multi-environment topology (prod / dev / test).
AI Developer Toolchain & Platform Engineering
Architect the developer AI stack, Azure AI Foundry, GitHub Copilot, Claude/MCP, Models Gateway, and scaled tooling distribution (MDM / Intune).
CI/CD, DevOps & Platform Automation
Establish CI/CD (GitHub Actions), Infrastructure-as-Code (Terraform / Bicep), and compute, MLOps/LLMOps, and FinOps practices with the DevOps team.
Identity, Security & Governance
Design IAM and auth flows (Entra ID, OIDC/JWT, API gateway validation) and the observability stack, and secure Security-team review and approval of every architecture.
Cross-functional Leadership
Act as architectural liaison across AI CoE, Development, DevOps, Infrastructure, Systems, Network, and Security; mentor engineers and own the platform roadmap.

The Procurement Operations & Excellence Lead is responsible for driving operational maturity across the global procurement & operations organization. This role owns the strategy, deployment, and continuous improvement of procurement & travel processes, systems, tools, governance, and policies. The role includes the management of team leads across procurement and travel operations and requires strong managerial capabilities to develop, coach, and direct those leaders. It requires a visionary operator with strong project-management and people-leadership skills, the ability to manage complex cross-functional interfaces, and a relentless drive for execution. The role ensures world-class performance, streamlined operations, compliance, and excellent service levels to stakeholders and suppliers.
How will you make an impact?
1. Operational Excellence & Process Leadership
- Design, implement, and optimize end-to-end procurement and corporate travel processes across all categories and regions.
- Diagnose operational gaps and drive continuous improvement initiatives across procurement and travel operations.
- Develop KPIs, dashboards, and performance metrics to monitor efficiency, effectiveness, and traveler experience.
- Standardize operating procedures and methodologies globally across procurement and travel.
- Leverage AI and analytics to identify process bottlenecks, forecast demand, and recommend optimization opportunities.
2. Systems, Tools & Digital Procurement
- Act as product owner for procurement and travel technologies such as ERP, P2P, contract management, intake tools, supplier portals, online booking tools (OBTs), TMC platforms, and expense management systems.
- Define system requirements, manage roadmaps, and lead improvement cycles with IT, TMCs, and vendors.
- Evaluate and deploy AI-powered capabilities, agentic intake, conversational assistants, contract intelligence, spend classification, and predictive analytics, across the procurement and travel stack.
- Train procurement and travel teams on new systems, AI tools, and digital capabilities.
- Ensure data integrity, automation, and seamless platform integration across procurement, travel, and finance systems.
3. Policy, Governance & Compliance
- Maintain procurement and travel policies, guidelines, and internal controls.
- Establish governance frameworks ensuring compliance with legal, audit, duty-of-care, and data-privacy standards.
- Define responsible-AI guardrails for procurement and travel use cases, including data handling, bias, and human-in-the-loop controls.
- Align policies with Finance, Legal, Security, and HR/Mobility teams.
4. Program & Project Management
- Lead cross-functional programs, including procurement and travel system rollouts, AI deployments, and process improvements.
- Track deliverables, timelines, risks, and stakeholder dependencies.
- Drive execution of strategic procurement and travel initiatives, including AI and automation programs.
5. Stakeholder & Service Management
- Serve as the central point for operational escalations and support across procurement and travel.
- Ensure high service levels and traveler experience via structured intake management, AI-assisted triage, and prioritization.
- Promote a culture of efficiency, accountability, and data-driven decision-making across the procurement and travel ecosystem.

We are looking for a highly organized, proactive, and business-oriented Executive Assistant to support the General Manager of one of our Product business units.
In this role, you will serve as a trusted partner to the GM, helping drive operational excellence, coordination, and execution across a fast-paced global organization. You will work closely with leaders and stakeholders across Product, Engineering, HR, Finance, and other functions to ensure priorities are effectively managed and key initiatives move forward seamlessly.
The ideal candidate thrives in a dynamic environment, demonstrates strong judgment and discretion, and is comfortable managing multiple priorities while building effective relationships across the organization.
This is an excellent opportunity for someone who enjoys working closely with senior leadership and making a meaningful impact on the success of a global business.
How will you make an impact?
Partner closely with the General Manager to support day-to-day operations, leadership priorities, and strategic initiatives
Coordinate leadership forums, business reviews, and cross-functional meetings across global teams and time zones
Prepare agendas, capture key decisions, track action items, and drive follow-through to ensure execution
Act as a central point of coordination across Product, Engineering, HR, Finance, Facilities, and other business functions
Manage complex calendars, scheduling priorities, and executive communications
Assist in planning team events, offsites, leadership meetings, and employee engagement activities
Work with vendors and support budget administration, purchase orders, and expense tracking related to team activities
Support onboarding and organizational logistics for new team members
Build strong relationships with stakeholders at all levels, including senior leadership, while handling sensitive information with discretion and professionalism
Identify opportunities to improve processes, increase efficiency, and enhance organizational effectiveness
Serve as a trusted extension of the General Manager, demonstrating sound judgment, ownership, and a proactive approach to problem-solving.

We are seeking a highly skilled and experienced Senior AI and Analytics AML Product Manager to join our dynamic team. The successful candidate will play a crucial role in leading the development and execution of our AI and analytics AML products. This individual will work closely with cross-functional teams to define product requirements, drive product development, and ensure successful delivery to market. The Senior AI and Analytics Product Manager will leverage their expertise in machine learning, data analytics, and product management to drive innovation and deliver value to our customers.
This is a customer-facing role that requires regular interaction with financial institutions (FIs), gathering feedback, building relationships, and understanding the challenges and pain points. The role involves travel and deep engagement with customers to align our products with real-world needs. Knowledge of AML and financial crime is critical to succeed in this position.
How will you make an impact?
Product Strategy and Roadmap Development:
Lead the development of the AI and analytics AML products and roadmap, aligning with the company's overall vision and objectives.
Conduct market research and competitive analysis to identify market trends, customer needs, and opportunities for differentiation.
Define product priorities and initiatives based on customer feedback, business goals, and technical feasibility.
Product Planning and Execution:
Collaborate with cross-functional teams including engineering, data science, design, and marketing to define product requirements and specifications.
Drive the product development process from concept to launch, ensuring timely delivery and adherence to quality standards.
Manage the product lifecycle, including feature prioritization, release planning, and post-launch performance monitoring.
AI and Analytics Expertise:
Apply deep knowledge of machine learning techniques to enhance product capabilities and drive innovation.
Leverage data analytics and visualization tools to derive insights from large datasets and inform product decisions.
Stay abreast of advancements in AI technology, industry trends, and best practices to continually improve product offerings.
Customer Engagement and Feedback:
Work directly with customers, including banks and financial institutions, to understand their challenges and gather actionable feedback.
Present product concepts and solutions to customers, aligning product functionality with their needs.
Travel as needed to meet with customers, participate in industry events, and ensure products address real-world AML scenarios.

This Position reports to our Global Vice President of Design and User Experience, the Director, Product Design will lead and Israel design organization as part of our collaborative UX leadership team. You'll build a high-performing team while making strategic design decisions that drive product excellence across our contact center and SaaS solutions.
How will you make an impact?
In this role, you'll have the autonomy to make critical design and resource allocation decisions that directly impact our products. Working alongside UX leadership peers in the US and India, you'll help shape our global design vision while building organizational excellence in Israel. Your leadership will blend strategic design thinking with thoughtful team development, as you establish processes that enable your organization to thrive at the highest levels of quality and efficiency. This position requires proactive communication, strong relationship-building skills, and a highly collaborative mindset. You will work closely with distributed peers and stakeholders across multiple regions and time zones. A core expectation of this role is schedule flexibility, including regular early-morning and occasional late-evening calls, to effectively partner with global teams and leadership. Success in this position depends on maintaining strong visibility and accessibility across international offices and ensuring consistent alignment regardless of geography.
Strategic Leadership & Decision Making
Influence roadmaps and feature prioritization through collaborative partnerships with product and engineering leadership
Champion design excellence and innovation across the organization
Organizational and Design Excellence
Create an inclusive culture of excellence that attracts and retains diverse design talent
Optimize team allocation and prioritize design work to maximize business impact
Lead cross-functional design reviews and stakeholder alignment sessions
Drive adoption of design systems and best practices across development teams
Ensure accessibility and internationalization standards are met across all products.

As AI Quality Architect, you are the person who makes quality native to the agentic SDLC. You design the systems, standards, and intelligence layers that ensure every stage of an AI-accelerated pipeline - from requirement ingestion to autonomous deployment - is observable, trustworthy, and continuously improving. You don't retrofit testing onto AI workflows; you architect quality into them from the ground up.
How will you make an impact?
Agentic Quality Architecture
Design the end-to-end quality architecture for agentic SDLC pipelines - spanning requirement analysis, code generation, test creation, execution, triage, and release gates
Define how quality agents are orchestrated: which decisions they own autonomously, which require human-in-the-loop checkpoints, and how confidence thresholds govern both
Architect multi-agent quality workflows: requirement validation agents, test generation agents, failure triage agents, and regression analysis agents working in coordinated pipelines
Establish trust and verification models for agent-produced artifacts - test code, assertions, coverage reports, and defect analyses must all be auditable and traceable
Own the architectural patterns for quality feedback loops between agents: how a deployment agent learns from a triage agent's findings, and how that signal improves future generation
AI-Native Test Engineering Platform
Design and own the LLM-powered test generation platform - from natural language requirement ingestion to executable, maintainable test output
Architect the evaluation harness that continuously measures test generation quality: coverage delta, false-positive rates, assertion accuracy, and maintenance burden over time
Build the self-healing test infrastructure layer - agents that detect broken selectors, drifted APIs, or changed behaviors and propose or apply fixes autonomously
Define the prompt engineering standards, context injection patterns, and RAG architectures that ground test generation agents in real codebase context
Architect test artifact governance: versioning, ownership attribution (human vs. agent), rollback capability, and confidence scoring for every generated artifact
Quality Gates in Autonomous Pipelines
Design intelligent, adaptive quality gates that operate at the speed of agentic CI/CD - gates that reason about risk, not just pass/fail thresholds
Build risk-scoring models that dynamically adjust gate strictness based on change scope, code origin (human vs. AI-generated), historical failure patterns, and deployment context
Architect the observability layer for agentic pipelines: what signals indicate a pipeline agent is making poor quality decisions, and how are those signals surfaced in real time
Define the integration patterns between quality gates and orchestration platforms (LangChain, LlamaIndex, custom agent frameworks) used across the engineering org
Establish rollback and circuit-breaker patterns for autonomous deployments triggered by quality signal degradation.

As AI Quality Architect, you are the person who makes quality native to the agentic SDLC. You design the systems, standards, and intelligence layers that ensure every stage of an AI-accelerated pipeline - from requirement ingestion to autonomous deployment - is observable, trustworthy, and continuously improving. You don't retrofit testing onto AI workflows; you architect quality into them from the ground up.
How will you make an impact?
Agentic Quality Architecture
Design the end-to-end quality architecture for agentic SDLC pipelines - spanning requirement analysis, code generation, test creation, execution, triage, and release gates
Define how quality agents are orchestrated: which decisions they own autonomously, which require human-in-the-loop checkpoints, and how confidence thresholds govern both
Architect multi-agent quality workflows: requirement validation agents, test generation agents, failure triage agents, and regression analysis agents working in coordinated pipelines
Establish trust and verification models for agent-produced artifacts - test code, assertions, coverage reports, and defect analyses must all be auditable and traceable
Own the architectural patterns for quality feedback loops between agents: how a deployment agent learns from a triage agent's findings, and how that signal improves future generation
AI-Native Test Engineering Platform
Design and own the LLM-powered test generation platform - from natural language requirement ingestion to executable, maintainable test output
Architect the evaluation harness that continuously measures test generation quality: coverage delta, false-positive rates, assertion accuracy, and maintenance burden over time
Build the self-healing test infrastructure layer - agents that detect broken selectors, drifted APIs, or changed behaviors and propose or apply fixes autonomously
Define the prompt engineering standards, context injection patterns, and RAG architectures that ground test generation agents in real codebase context
Architect test artifact governance: versioning, ownership attribution (human vs. agent), rollback capability, and confidence scoring for every generated artifact
Quality Gates in Autonomous Pipelines
Design intelligent, adaptive quality gates that operate at the speed of agentic CI/CD - gates that reason about risk, not just pass/fail thresholds
Build risk-scoring models that dynamically adjust gate strictness based on change scope, code origin (human vs. AI-generated), historical failure patterns, and deployment context
Architect the observability layer for agentic pipelines: what signals indicate a pipeline agent is making poor quality decisions, and how are those signals surfaced in real time
Define the integration patterns between quality gates and orchestration platforms (LangChain, LlamaIndex, custom agent frameworks) used across the engineering org
Establish rollback and circuit-breaker patterns for autonomous deployments triggered by quality signal degradation.

The Chief Architect at our company Actimize owns the technical vision that holds this portfolio together. The mandate is to ensure that a wide-ranging set of products remains coherent, secure, scalable, and economical to build and operate regardless of where and how it is deployed. This is a hands-on leadership role at the intersection of deep technical authority and enterprise strategy: you will set architectural direction, resolve the hardest cross-cutting trade-offs, and raise the engineering bar across the organization.

This is the most senior individual-contributor-plus-leadership technical role in the company. You will be a trusted advisor to the executive team and the final technical authority on architecture decisions that span products.
How will you make an impact?
Architectural Vision & Strategy
Define and own the multi-year target architecture across the entire product suite, balancing product autonomy with shared platform leverage.
Establish an architecture strategy so that products can be delivered on-premise, in private cloud, in public cloud, or as pure cloud SaaS.
Drive the platform and shared-services strategy (identity, data, integration, observability, deployment tooling) that reduces fragmentation across products.
Help architects translate business and product strategy into technical roadmaps; advise the executive team on build-vs-buy, modernization, and major technology bets.
Design abstractions and packaging models that let a single product run reliably across heterogeneous environments with differing scale, network, data residency, and operational constraints.
Establish reference architectures and patterns for tenancy, configuration management, release/upgrade cadence, and feature parity across on-premise and cloud-hosted deployments.
Security, Compliance & Resilience
Embed security, privacy, and regulatory compliance into the architecture by design - addressing the standards relevant to financial services (e.g., data protection, auditability, segregation, encryption, and regional data residency).
Define non-functional requirements and architectural guardrails for availability, disaster recovery, transactional integrity, performance, and observability appropriate to mission-critical financial systems.
Partner with Security, Risk, and Compliance leadership to ensure the architecture withstands audit and regulatory scrutiny across jurisdictions.
Governance & Standards
Establish and run an architecture governance function: standards, decision records, review processes, and a technology radar - proportionate enough to enable speed rather than obstruct it.
Evaluate and select core technologies, platforms, and strategic vendors; own the long-term technology stack direction.
Leadership & Influence
Lead and mentor a community of architects and senior engineers; grow architectural capability across teams.
Build consensus across product, engineering, security, operations, and commercial stakeholders, and make decisive calls when consensus isn't reachable.
Represent the company's technical vision with key customers, partners, and prospects, and in due-diligence and pre-sales conversations for strategic deals.