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Complex Head Jobs

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We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. As a Senior Workday Integration Developer – Workday Studio you will be responsible for designing, developing, implementing, and maintaining integrations between Workday and other internal or external systems. This role requires deep technical expertise in Workday’s integration tools, integration methodologies and best practices to ensure data flows smoothly and accurately between Workday and other enterprise and external systems. Responsibilities include: Designing Integration Solutions: Leading the design and development of integration solutions between Workday and external systems (such as payroll, benefits, HR, finance, or third-party applications). Writing code, developing software components, and implementing complex functionalities according to project requirements. Workday Studio: Using Workday Studio to develop complex integrations involving multiple systems, including configuring web services (REST/SOAP), developing transformation logic, and handling data mappings. Pre-built Connectors: Leveraging Workday Cloud Connect and other pre-built connectors to integrate Workday with third-party applications efficiently. Customization: Customizing integrations to meet the unique business requirements of the organization, ensuring they align with Workday’s best practices. Develop Integration Workflows: Building int

financeHRpayroll
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We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary The Lead Director, Stop Loss Relationship Management will serve as the single accountable owner for enterprise stop loss relationship strategy, governance, escalation management, and operational performance. This role is responsible for creating a more disciplined, scalable, and consistent operating model across stop loss carriers, internal business partners, and cross-functional stakeholders. This leader will address current gaps in ownership, decision rights, escalation pathways, and carrier performance that are contributing to delays, disputes, reimbursement challenges, and financial exposure. The role will centralize accountability for stop loss-related funding decisions, risk acceptance, issue resolution, and carrier engagement, ensuring clearer governance, faster resolution of high-cost claim issues, and improved predictability across the stop loss ecosystem. The ideal candidate is a strong enterprise relationship leader with deep experience managing complex, cross-functional programs, executive-level stakeholders, financial risk, operational escalations, and external partner performance. This individual must be highly effective at driving alignment, establishing governance, improving processes, and influencing outcomes across matrixed teams. What You Will Do Serve

N
21 days ago

NVIDIA is seeking a Senior System Architect: Heterogeneous EDA Systems to solve a complex challenge in accelerated computing: Failure Attribution at Scale. As EDA or equivalent experience workloads scale across thousands of heterogeneous nodes, a single failure can cause massive resource waste. We need an engineer to develop and build an automated framework. This framework will ingest telemetry from CPU and GPU clusters to identify the root cause of job failures in real-time. It will distinguish between hardware faults, infrastructure instability, and software defects. What you'll be doing: Architect Failure Attribution Frameworks: Build a scalable "flight recorder" for EDA jobs that captures high-fidelity state across the CPU, GPU, and Fabric at the moment of failure. Build automated diagnostics that correlate GPU XID errors, PCIe bus failures, and CUDA memory exceptions. Connect these errors with system-level events such as OOM kills or NUMA-related hangs. Distributed Logging & Tracing: Implement low-overhead tracing mechanisms (using tracing tools or custom agents) that provide access to job execution across multi-node Slurm or Kubernetes clusters. Root Cause Automation: Develop heuristics and models based on machine learning to classify failures as "Hardware Fault," "Software Bug," or "Environment Issue." This reduces the Mean Time to Identify (MTTI) for R&D teams. Resiliency Engineering: Work closely with hardware and infrastructure teams to define "signals of impending failure," enabling proactive job migration or check-pointing before a crash occurs. What we need to see: Distributed Systems Mastery: BS, MS, or PhD in Computer Science or Electrical Engineering (or equivalent experience) with 6+ years in systems programming. Experience building automated

pythonkuberneteslinux
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P
Prolific
📍 Mexico• Full-time• $150K – $200K/yr
24 days ago

Strategic Projects Lead, Managed Services Team: Client Services Prolific Prolific isn’t just enabling AI innovation – we’re redefining it. While foundational AI technologies are becoming commoditized, Prolific’s human data infrastructure provides the high-quality, diverse data required to train the next generation of AI models. Through our platform, we empower researchers and companies to access a global, ethically curated participant base, ensuring cutting-edge AI research and training grounded in inclusivity and precision. The Role As a Strategic projects lead focused on AI projects, you’ll play a key role in delivering some of Prolific’s most important and complex client programmes. You’ll own client engagements end to end, working directly with clients to understand what they’re trying to achieve and translating their requirements into successful human data programmes. You’ll bring together teams across Prolific to deliver the right solution, while owning the client relationship, project execution and overall success of the engagement. This is a hands-on role in a fast-moving area of AI. Projects can be complex and requirements can evolve quickly, so you’ll need to be comfortable working through ambiguity, getting into the detail when needed and making sound decisions to keep delivery moving. You’ll combine strong client management with an understanding of AI and human data workflows, helping us deliver excellent work for our clients while continuing to improve how we deliver AI projects at scale. What You’ll Be Doing Own the end-to-end delivery of complex AI projects, from understanding client requirements and shaping the delivery approach through to execution and completion. Act as the primary point of contact for your clients, building strong relationships and providing clear, consistent communication throughout the project lifecycle. Work with clients to translate complex or evolving requirements into clear project scopes, delivery plans,

aigorust
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DC
Diligent Corporation
📍 New York• Full-time• From $131K/yr
24 days ago

Role Overview You’re a seasoned Site Reliability Engineer who loves owning complex infrastructure, making things run faster, safer, and with less manual effort. In this Staff‑level role, you’ll design and operate VMware‑based private cloud platforms that power mission‑critical SaaS products used by customers around the world. You’ll work across Linux, Windows Server, networking, storage, and automation frameworks to increase reliability, reduce toil, and modernize a global datacenter environment. You’ll have the scope to set technical direction, build automation at scale, and mentor engineers while staying hands‑on with VMware vSphere, F5/AVI load balancers, and hybrid Active Directory. Here’s a breakdown of what you’ll do (not all of it, just the important stuff) Lead the architecture, deployment, and ongoing optimization of VMware vSphere–based private cloud infrastructure across multiple global datacenters. Design and build automation using PowerShell/PowerCLI, Ansible, Python, and CI/CD tools to streamline provisioning, configuration, and compliance. Administer, harden, and troubleshoot Linux (RHEL/CentOS/Ubuntu) and Windows Server environments that host enterprise and SaaS workloads. Integrate and manage Active Directory for authentication, access control, and service accounts across hybrid on‑prem and cloud environments. Partner with network and security teams to manage firewalls, VPNs, storage, and load balancers (F5 BIG‑IP, AVI/NSX Advanced Load Balancer) for highly available services. Document architectures and runbooks, participate in on‑call and change management, and mentor engineers while influencing long‑term reliability and automation strategy. These are the essentials you’ll need to get an interview 10+ years of experience in systems or infrastructure engineering, including operating large‑scale enterprise or SaaS datacenter environments. Deep hands‑on expertise with VMware vSphere (ESXi, vCenter, DRS, HA, vMotion, distributed switches) in production

pythonawsazure
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LA
24 days ago

ROLE SUMMARY We are looking for a Senior Data Scientist to lead complex data science engagements that combine traditional statistical modelling with Generative AI. You will work hands-on with very large datasets across disparate systems and formats, translate ambiguous business problems into rigorous analytical solutions, and present those solutions clearly to C-level stakeholders. This is a delivery-first role with a fast track into technical leadership: alongside your own project work, you will help guide junior data scientists and shape how Lynx builds and ships data science solutions. KEY RESPONSIBILITIES Solution Design & Delivery Design and deliver end-to-end solutions for defined data science problems, combining classical modelling, data transformation, and Generative AI / LLM techniques. Work hands-on with very large datasets across disparate stores and formats, from ingestion and transformation through to modelling and validation. Apply statistical and machine learning methods to business problems such as customer retention, campaign management, and commercial performance optimisation. Client Communication & Leadership Present results and prepare client-ready materials for project stakeholders, including C-level audiences, translating technical work into clear business narratives. Lead smaller data science workstreams, with support from internal leadership and the PMO, including day-to-day guidance for junior team members. Partner with delivery and account teams to scope problems, set realistic timelines, and manage stakeholder expectations. Knowledge Building Create reusable documentation, presentations, and code libraries during projects so future engagements can build on prior work. Participate in internal education, research, and knowledge-sharing initiatives that raise the technical bar across the practice. SKILLS, QUALIFICATIONS AND EXPERIENCE 8+ years of overall experience in data science, with a track record of leading analytic

pythonsqlaws
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