Lead Expert Jobs

Pharma Commercial Consulting & Data Analytics Leader Role Overview We are looking for a senior Pharma consulting leader with strong expertise in Data & Analytics (D&A) and technology-led transformation. This individual will be part of the Business Consulting Group and will work closely with Account Management and Sales teams to drive consultative client engagement, solutioning, presales, and onsite delivery leadership for strategic Pharma and Consumer Health clients. The ideal candidate should be able to engage credibly with senior client stakeholders (VP+ level) and articulate how technology, AI, and data-driven solutions can solve complex business problems across the Pharma Commercial value chain. Key Responsibilities Consultative Sales & Client Advisory Partner with Sales and Account teams to drive strategic growth opportunities across Pharma and Consumer Health accounts. Lead client-facing consultative discussions, workshops, roadshows, and executive presentations. Influence customer decision-making through domain-led solutioning and thought leadership. Engage with senior client stakeholders (VP/CXO level) across Commercial, Marketing, Sales, and Analytics functions. Presales & Solution Leadership Own and lead presales efforts including: Opportunity qualification Solution development Proposal creation RFP responses POV creation and storytelling Provide outside-in industry perspectives and inside-out capability positioning. Build differentiated offerings and GTM narratives around Pharma Commercial analytics and AI. Delivery Leadership Lead onsite delivery engagements for strategic clients. Work closely with global delivery teams to ensure successful execution and client satisfaction. Act as a trusted advisor to clients while ensuring alignment between business outcomes and technology implementation. Functional Expertise Required Strong understanding of Pharma Commercial business processes and analytics use cases, including: Sales Force Effecti

FEQ327R128 Mission Solutions Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Field Engineering Manager for the team. Important Eligibility Requirement: Due to contractual requirements supporting U.S. Public Sector customers, this position requires U.S. citizenship. Candidates who are not U.S. citizens are not eligible for consideration. The impact you will have: Partner with the sales team to help customers understand how Databricks can help solve their business problems Provide technical leadership for customers to evaluate and adopt Databricks Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications Build and present references architectures, how-tos, and demo applications for customers Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars Travel to customers in your region What we look for: U.S. citizenship is required due to contractual requirements supporting U.S. Public Sector customers. 8+ years in a customer-fa

FEQ327R400 Mission Solutions Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Field Engineering Manager for the team. The impact you will have: Partner with the sales team to help customers understand how Databricks can help solve their business problems Provide technical leadership for customers to evaluate and adopt Databricks Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications Build and present references architectures, how-tos, and demo applications for customers Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars Travel to customers in your region What we look for: 7+ years in a customer-facing pre-sales, technical architecture, or consulting role Experience designing and architecting distributed data systems Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R Have built solutions with public cloud providers such as AWS, Azure, or GCP Data Engineering technologies ( Ex: Spark, Hadoop, Kafka )

FEQ427R58 Mission Solutions Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Field Engineering Manager for the team. The impact you will have: Partner with the sales team to help customers understand how Databricks can help solve their business problems Provide technical leadership for customers to evaluate and adopt Databricks Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications Build and present references architectures, how-tos, and demo applications for customers Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars Travel to customers in your region What we look for: 6+ years in a customer-facing pre-sales, technical architecture, or consulting role Experience designing and architecting distributed data systems Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R Experience supporting Public Sector clients Have built solutions with public cloud providers such as AWS, Azure, or GCP Data Engineering

At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. THE WORK: As a Senior Staff Security Engineer focused on AI Security, you will be Ripple's deepest technical expert at the intersection of artificial intelligence and security. This is a purpose-built, high-impact individual contributor role that spans two critical mandates: securing AI systems that Ripple builds and operates, and harnessing AI to make Ripple's security function faster, smarter, and more scalable. You will lead the technical strategy for AI security across the agentic SDLC, define and operationalize guardrails for LLM and agentic AI adoption, and build AI-powered security tooling in close partnership with the broader organization to embed AI security into how Ripple operates every day. You will also shape Ripple's external posture on AI security, contributing to industry standards, regulatory discussions, and Ripple's published security practices. WHAT YOU’LL DO: Drive the AI Security technical strategy and roadmap, defining how Ripple secures its AI systems, governs agentic workflows, and embeds security controls into the AI development lifecycle from day one. Design and implement security controls for LLM-integrated and agentic AI systems, including sandboxing, identity and permission scoping, runtime monitoring, and containment of autonomous agent actions that exceed authorized scope. Own AI security across the Controlled Agentic SDLC, establ

Head-Project will lead the end-to-end execution of large-scale data center construction projects, ensuring alignment with AdaniConneX’s vision of building a 2GW environmentally and socially conscious data center infrastructure platform by 2030. This role is pivotal in delivering state-of-the-art facilities that meet global benchmarks in design, engineering, and operations, leveraging Adani Group’s expertise in mega-structure construction and EdgeConneX’s global standards. The incumbent will drive project excellence in quality, safety, and timely delivery while managing multidisciplinary teams and stakeholders. Source: Adani Group | Job ID: 51061

FEQ227R170 Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and AI. As a member of our team, you will exercise and grow your expertise in those areas, using open source projects such as Apache Spark™, Delta Lake, and MLflow. This is a customer-facing role, where you will work with customers, your teammates, the product team, our post-sales team,s and partners, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish meaningful outcomes for their businesses. In this process, you will build relationships with our customers, identify and cultivate champions, and establish yourself as a trusted advisor. You will report to a Field Engineering Manager within the Financial Services team at Databricks. The impact you will have : Partner with the sales team to help customers understand how Databricks can help solve their business problems Provide technical leadership for customers to evaluate and adopt Databricks Consult on big data architecture, execute proof of concepts for strategic customer projects, and validate integrations with cloud services and other 3rd party applications Build and present reference architectures, how-tos, and demonstrate applications for customers Become an expert in, and promote open source projects (Apache Spark™, Delta Lake, MLflow, and Unity Catalog) across developer communities through meetups, conferences, and webinars Travel to meet with customers in your territory What we look for : 7+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges Experience designing and architecting distributed data systems Comfortable programming in, and debugging, at least one of: Pyth

FEQ427R139 Mission Solutions Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Field Engineering Manager for the team. The impact you will have: Partner with the sales team to help customers understand how Databricks can help solve their business problems Provide technical leadership for customers to evaluate and adopt Databricks Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications Build and present references architectures, how-tos, and demo applications for customers Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars Travel to customers in your region What we look for: 8+ years in a customer-facing pre-sales, technical architecture, or consulting role Experience designing and architecting distributed data systems Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R Experience supporting Public Sector clients Have built solutions with public cloud providers such as AWS, Azure, or GCP Data Engineerin

Role Overview: As a Business Development Rep at Defense Unicorns, you will play a pivotal role in the company's success by identifying, cultivating, and managing new opportunities, partnerships and relationships within the ecosystem. You will leverage your deep understanding of market trends and industries to develop effective strategies for delivering mission capabilities. This position requires a strategic thinker and excellent communicator. Key Responsibilities: Research and analyze market trends and identify opportunities for Defense Unicorns’ capabilities to deliver mission value. Cultivate strong relationships with partners, and stakeholders. Act as a primary point of contact, understanding mission needs and tailoring our capabilities to meet those needs effectively. Lead negotiations, prepare proposals, and close deals with clients to drive revenue growth. Negotiate terms and conditions that are mutually beneficial for both the company and the client. Develop and execute comprehensive technology driven strategies that align with the company's goals and objectives. Collaborate with the executive team to ensure seamless integration with overall company strategy. Stay updated with industry news, market trends, and competitor activities. Use this knowledge to make informed decisions and refine technology driven strategies. Work closely with cross-functional teams to ensure a cohesive approach to business development initiatives. Collaborate to enhance product offerings and customer experience. Prepare regular reports on business development activities, track key performance indicators (KPIs), and analyze the effectiveness of various strategies. Use data-driven insights to refine approaches and achieve better results. Preferred Experience and Qualifications: Deep US Army experience Demonstrated expertise and established credibility in domain-specific technology, strategic planning, business development, or a related role within the tech industry or Departmen

Join us at the forefront of AI compiler technology and help shape the future of accelerated computing. NVIDIA is seeking passionate engineers to build the next generation of tools used by AI developers and researchers worldwide. Our team is developing Thunder , an ambitious, source-to-source compiler built to unlock outstanding performance for PyTorch models on NVIDIA GPUs. This is a unique opportunity to contribute to a project that enhances the PyTorch ecosystem, working with modern compiler stacks like PyTorch 2.0's TorchDynamo and TorchInductor to create powerful, open-source solutions that benefit the entire community. If you are driven to solve complex problems and want to make a foundational impact on the AI ecosystem, apply to join our collaborative and innovative team. What you'll be doing: As a key member of our team, you will be contributing directly to the future of accelerated AI. Your role will be dynamic and deeply technical, placing you at the center of compiler innovation. You will lead the design, implementation, optimization, and maintenance of the core compiler technologies that accelerate massive deep learning workloads. This is a highly collaborative role where you'll work alongside the very engineers who built PyTorch for NVIDIA hardware, helping to pioneer new features and stay at the forefront of framework development. You'll dive deep into performance analysis, scrutinizing workloads running on thousands of GPUs to find optimization opportunities that will shape the future design of Thunder. Furthermore, you will be part of a vibrant ecosystem, working closely with leading compiler, library, and systems teams—including experts behind nvFuser, TVM, XLA, and CUDA—to translate the latest research into practical, high-impact solutions for the open-source community. What we need to see: We are look

The Data Governance Foundation Lead Analyst is responsible for contributing to the directional strategy and assisting in creation and modification of Enterprise Data Governance Strategy, and/or Data Risk and Control Framework and Data Risk Taxonomy. The focus of this role may be on one or more of the following areas: assisting in identification, measurement and reporting, data policy adoption and compliance, data controls framework performance and issue management process, and regulatory and audit response and action tracking. This role requires someone who is dynamic, flexible, and can easily respond to quickly changing needs. The candidate must have the ability to handle ambiguity and complexity and be able to deliver on multiple responsibilities. Developed communication and diplomacy skills are required in order to guide, influence and convince others. Responsibilities: Partner with multiple teams to implement relevant Data Governance requirements and execute inline with policies and/or Data Risk and Control framework Oversight and analysis of data-related issues, tracking of ownership and target dates and associated metrics and reporting Identify and remediate data quality issues, including mapping inconsistencies, duplicate elements, invalid domains, and ineffective business rules Gather and synthesize metrics on existing Data Governance implementation and/or Data Risk and Controls principles, policies, practices and standards Produce recommendations for enterprise-wide guiding principles, policies, processes and practices Determine requirements for and prioritize development of new tools and requirements leveraging data and maintaining compliance with Data Governance requirements as a part of the Business as Usual (BAU) process Perform data analysis and build subject matter expertise of data and usage Maintain traceability between data sources, busine

About the Role At OpenAI, we are proud to build and operate our data centers with a community-first led approach. From construction to operations, we want to be positive partners within our data center communities that we are honored to call home…and we are just getting started. OpenAI is seeking a Workforce Development & Education Manager to help build local talent for data center construction, commissioning, and operations in communities hosting OpenAI infrastructure projects. You will work with infrastructure teams and project partners, education providers, and local Community Engagement Leads to understand workforce needs and help education and training providers prepare people for these jobs of the future. You will build partnerships with local community colleges, technical schools, universities, and union apprenticeship programs from the ground up. Working with educators and technical experts, you will develop and expand training programs that connect local residents with career opportunities and meet the local industry hiring needs. Key Responsibilities Work in partnership with the local Community Engagement Lead to build and manage relationships with community colleges, technical schools, universities, career and technical education programs, and local workforce boards. Work with building trades unions and joint apprenticeship and training committees to expand training opportunities aligned with project needs both on a local and national level. Partner with OpenAI’s infrastructure teams, developers, contractors, and operators to identify job requirements, skills gaps, and hiring timelines across construction, commissioning, and operations. Work with educators and technical experts to develop or adapt curricula, hands-on training, and credential programs that reflect employer requirements and offerings available through OpenAI’s literacy programs. Support apprenticeships, internships, and other work-based learning opportunities with participating employer

Role Overview: As a Business Development Representative at Defense Unicorns, you will play a pivotal role in the company's success by identifying, cultivating, and managing new opportunities, partnerships and relationships within the ecosystem. You will leverage your deep understanding of market trends and industries to develop effective strategies for delivering mission capabilities. This position requires a strategic thinker and excellent communicator. Key Responsibilities: Research and analyze market trends and identify opportunities for Defense Unicorns’ capabilities to deliver mission value. Cultivate strong relationships with partners, and stakeholders. Act as a primary point of contact, understanding mission needs and tailoring our capabilities to meet those needs effectively. Lead negotiations, prepare proposals, and close deals with clients to drive revenue growth. Negotiate terms and conditions that are mutually beneficial for both the company and the client. Develop and execute comprehensive technology driven strategies that align with the company's goals and objectives. Collaborate with the executive team to ensure seamless integration with overall company strategy. Stay updated with industry news, market trends, and competitor activities. Use this knowledge to make informed decisions and refine technology driven strategies. Work closely with cross-functional teams to ensure a cohesive approach to business development initiatives. Collaborate to enhance product offerings and customer experience. Prepare regular reports on business development activities, track key performance indicators (KPIs), and analyze the effectiveness of various strategies. Use data-driven insights to refine approaches and achieve better results. Preferred Experience and Qualifications: Deep US Space Force experience Demonstrated expertise and established credibility in domain-specific technology, strategic planning, business development, or a related role within the tech ind

MKTQ427R49 We're looking for a content lead who sits at the intersection of brand content storytelling and AI-era discoverability. You will own the creation of high-quality and high-volume brand content, ensuring that content is structured, distributed, and measured to win visibility across AI answer engines. You will produce and edit compelling content and employ optimization strategies to make sure LLMs discover, parse, and cite it. You will identify content gaps by analyzing where the brand is (and isn't) showing up in LLM answers, map those gaps against business objectives, target audiences, and product priorities, and orchestrate a mix of AI agents, technical writers, and internal teams to close them. A core part of this orchestration is overseeing a system of AI agents that create, optimize, and evaluate content — a task that requires real editorial expertise applied to prompt design and agent engineering, not just tool adoption. You will be responsible for building and maintaining the brand context, target prompts, and writing guidelines that guide agents and internal SMEs to create on-brand, accurate, and authoritative content. A major part of the role is editorial judgment: this includes reviewing drafts from agents and adjusting prompts and inputs to improve output quality. The impact you will have: Within 12–24 months in this role, success looks like: The content roadmap is driven by evidence. You've stood up ongoing GEO/AI answer analysis, and every major content bet ties back to a documented gap — where the brand is underrepresented, inaccurate, or absent — requiring gap-analysis skills and fluency with GEO/AI-visibility diagnostics. Business priorities and content output are in lockstep. The roadmap (blogs, video, web pages, thought leadership) is visibly built from business objectives, audience search intent, and product priorities, and stakeholders can trace any piece of content back to a prompt that justified it — requiring sharp prioritization judg

About Mixpanel Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com . About the Customer Engineering Team Mixpanel's Customer Engineering teams are analytics consultants who embed themselves within our enterprise customer teams to drive business outcomes. We work with prospects and customers throughout the customer journey to understand what drives value, and serve as the technical counterpart to our Sales organisation to deliver on that value. You will partner closely with Account Executives, Customer Value Architects, Product, Engineering, and Support to successfully roll out self-serve analytics within our customers' organisations, help manage change, execute on technical projects and services that delight our customers, and ultimately drive ROI on the customer's Mixpanel investment. About the Role Our Customer Engineers are inquisitive, nimble, and able to clearly articulate the technical benefits and requirements of Mixpanel to developers and product managers, while also communicating the business value of our product to senior executives. In your first month, you'll become a Mixpanel expert—both in features and functionality as well as implementation. You'll shadow customer calls and demos with current Customer Engineers and Account Executives while learning to articulate our value proposition, and be trained on Mixpanel's internal systems and tools. Within your first three months, you'll be directly involved in deal cycles with Account Executives. You'll lead the technical qualification for customer use cases and deliver customised demos for prospects and existing customers, working directly with leadership at the prospect's organisation to understand business chall