An AI-focused technologist focused on the Product Cost Process using AI, GenAI, agentic solutions, and Data analytics to enhance product cost modeling, forecasting, and decision-making.
Responsibilities
Design and implement IT solutions and proof-of-concept projects, leveraging Stellantis Platforms
Develop “use cases” tailored to the Product cost needs (Python, ML, LLMs, RAG) with the support of suppliers
Create data pipelines / transformations
Collaborate with backend, DevOps, and product teams for scalable deployment
Prototype and test new technologies in AI and Agentic AI
Senior Partner Technology Strategist (PTS) for Software Development Companies (SDCs) within the Microsoft EPS CTO team, serving as the strategic technology leader and trusted advisor for Microsoft’s most strategic and influential global SDC partners.
Compensation
Partner Technology Strategy IC4 - The typical base pay range for this role across the U.S. is USD $106,400 - $203,600 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $137,600 - $222,600 per year.
Responsibilities
Own the partner technical strategy and roadmap, aligning partner priorities, market opportunities, and technology investments with Microsoft solution plays.
Translate strategic priorities into a portfolio of technical initiatives and measurable outcomes, spanning build-with, solution activation, Marketplace, customer adoption, and Cloud consumption.
Serve as a trusted technical advisor to partner CTOs, product, engineering, and architecture leaders, influencing technology and platform decisions.
Identify and incubate strategic opportunities across AI, agents, data, cloud, security, and platform modernization that create differentiated and scalable partner solutions.
Orchestrate cross-functional Microsoft teams across Product, Engineering, Architecture, and Field to accelerate priority initiatives and address systemic blockers.
Requirements
Master's Degree in Computer Science, Information Technology, Engineering, Business or related field
Lead on-premises and real-time FHIR and HL7 integrations on the Data Platform product team, focusing on building and scaling critical infrastructure for secure data exchange.
Locations (4)
Chicago, Illinois, United States
New York City, New York, United States
California, United States
Colorado, United States
Compensation
US Range: $110,000-$160,000. The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York).
Responsibilities
Define and own the product strategy for the Tempus Data Platform, focusing on secure, scalable, and interoperable data exchange via Edge product offerings.
Associate Director to help build and deliver our Financial Crime Transformation & Optimisation capability across banking, payments, asset management and other regulated financial services firms, focusing on AML, sanctions and fraud.
Responsibilities
Lead financial crime transformation and optimisation engagements across AML, sanctions and fraud.
Design and implement target operating models, processes, controls and governance arrangements.
Lead regulatory remediation programmes and responses to regulatory reviews, including skilled person work.
Assess financial crime operations to identify control weaknesses, duplication, unnecessary manual activity and opportunities for simplification or automation.
Help clients integrate financial crime technology, data and AI into their operating models while maintaining appropriate governance, auditability and human oversight.
Provides a consistent facilities management standard across client sites; building and documenting the account's SOPs, escalation paths, and operating rhythm
Manages supplier base appropriate to each client site; holds vendors to contract, quality, cost, and safety requirements
Provides client visibility of cost and service performance from its own system of record; designing the KPI scorecard with the client and reporting performance on a fixed cadence
Standing up the client governance model, including operating reviews, QBRs, and contract compliance tracking
Leading client stakeholder relationships as the trusted advisor, translating expectations into delivery commitments
Develop and lead the group-wide Data & AI platform strategy for Orca Group, creating the technological foundation for next-generation products with a focus on AI and agent-based functions.
Locations (2)
München, Bavaria, Germany
Rosenheim, Bavaria, Germany
Responsibilities
Entwickle und verantworte die gruppenweite Data- & AI-Platform-Strategie und priorisiere gemeinsam mit Product und Engineering die relevanten Daten, Use Cases und Plattform-Capabilities.
Baue eine gemeinsame, skalierbare Datenplattform mit Datenpipelines, gemeinsamen Domain-Modellen und messbarer Datenqualität über unsere Produkte hinweg auf.
Entwickle unsere Datenbasis für AI Agents weiter und ermögliche einen sicheren, berechtigungsgesteuerten Zugriff über moderne Retrieval-, Search- und Context-Lösungen.
Gestalte offene APIs und agentenfähige Schnittstellen, über die unsere Produkte, Partner und Kunden sicher mit unseren Daten und Plattform-Services arbeiten können.
Baue gemeinsame AI-Platform-Services für unsere Product Teams auf – von Retrieval und Evaluation über Model Routing und Guardrails bis zu Monitoring und Observability.
Lead Echelon’s technical presales and solution strategy for AI, cloud and digital transformation opportunities across Government and Telco clients in KSA.
Responsibilities
Lead ideation and strategy workshops with C-level and senior government executives to define their AI vision and ambition
Co-create AI transformation strategies: identify and prioritise high-value use cases, assess AI readiness, and define target operating models
Translate strategy into phased roadmaps with business cases, governance, data foundations and quick wins
Shape new opportunities from strategy engagements, converting executive vision into fundable programmes
Own technical presales end to end: discovery, solution design, demos/PoCs, RFP/RFI responses, technical proposals and pricing inputs
Requirements
Master’s degree in Computer Science, Engineering or a related field
Nice to have: Saudi national
Nice to have: Fluent Arabic
Nice to have: Fluent English
Nice to have: Professional cloud/architecture certifications (e.g. Azure, AWS or GCP architect)
Enhance the efficiency and reliability of data ingestion, processing, and delivery workflows for internal and external stakeholders, including DICOM, HL7, FHIR, and various data modalities.
Champion user empathy for integrators, data engineers, and clinical operations teams, ensuring integration workflows are efficient, consistent, and scalable across diverse deployment topologies.
Explore and prioritize opportunities to leverage generative AI for streamlining integration setup, data mapping, anomaly detection, and troubleshooting.
Define and track KPIs to measure the performance, reliability, and adoption of Edge products, focusing on data throughput, latency, and successful data product creation.
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