Lead discovery sessions to translate complex client challenges into scalable, production-ready Data & AI architectures. Oversee the successful delivery of enterprise solutions while mentoring engineering teams and providing technical guidance.
Lead assigned client relationships, workstreams, and expansion opportunities for a strategic account, translating account strategy and business priorities into actionable plans and Data and AI solutions. Coordinate Sales, Delivery, technical teams, Finance, and partners to achieve measurable client outcomes, advance commercial opportunities, and strengthen account practices.
Own strategy, delivery, growth, and profitability for a portfolio of strategic accounts, translating client business objectives into data and AI programs and ensuring measurable outcomes. Lead executive relationships and cross-functional collaboration, manage delivery quality and risks, develop joint strategies with ecosystem partners, and contribute to practice standards and industry presence.
You will design, build, and deploy end-to-end cloud data solutions while collaborating with cross-functional teams and client stakeholders. Additionally, you will provide technical leadership, ensure delivery excellence, and contribute to internal practice initiatives and documentation.
Lead end-to-end Power BI engagements, translating client needs into scalable, governed analytics solutions from discovery and architecture through development, deployment, and adoption. Provide technical and delivery leadership, mentor teams, manage client relationships and project performance, and contribute to reusable assets and Analytics practice growth.
Lead end-to-end client analytics engagements, owning requirements, planning, development, testing, deployment, and adoption of scalable Sigma solutions. Advise clients on analytics governance and operating practices, manage delivery and stakeholder expectations, and mentor consultants while identifying opportunities to expand client value.
Lead end-to-end client analytics engagements, translating business needs into scalable Sigma workbooks, dashboards, governed datasets, and self-service analytics solutions. Own delivery quality and client communication while advising on enterprise Sigma governance, mentoring consultants, and identifying opportunities to expand client value.
Lead complex AI and data programs as the primary point of contact for client sponsors, ensuring successful delivery and measurable business impact. Manage engagement financials, project roadmaps, and multi-geo teams while providing executive-level status updates and strategic recommendations.
The Business Systems Architect designs and implements scalable enterprise platform architecture to support finance, HR, revenue operations, and IT processes. They lead cross-functional initiatives, manage system integrations, and ensure architectural alignment with business objectives and security standards.
The AI Services Lead will oversee the activation and growth of Anthropic-focused accounts, managing end-to-end delivery and building strategic AI roadmaps. They will act as a trusted advisor to senior client stakeholders while driving expansion opportunities and mentoring team members.
Develop end-to-end technical solutions into production while ensuring performance, security, and scalability. Create detailed solution documentation and deliver presentations to clients.
The role involves facilitating data governance working groups and executing metadata management activities such as cataloging and lineage capture. You will also partner with business teams to implement data quality controls and coach client staff on effective data stewardship practices.
Lead discovery sessions to translate complex client challenges into scalable, production-ready Data & AI architectures. Own the successful delivery of enterprise solutions while guiding engineering teams and mentoring staff through technical coaching.
The role involves leading stakeholder discovery and workshops to define project vision, scope, and business outcomes. You will also map value streams, identify AI automation opportunities, and document functional requirements for data and GenAI solutions.
The Senior IT Operations Administrator will manage the end-to-end lifecycle of internal IT support and ensure the reliability and security of cloud-based systems and end-user devices. They will also drive infrastructure improvements, automation initiatives, and maintain governance across IT assets and compliance standards.
You will lead the go-to-market strategy and development of commercial offerings for the life sciences sector, focusing on data, analytics, and AI solutions. Additionally, you will serve as a trusted advisor to clients while driving business development and scaling repeatable commercial accelerators.
The Principal Advisory Consultant will lead the growth of the Anthropic and AI FinOps practice by advising C-level executives on AI strategy, governance, and cost management. They will also be responsible for building the service catalog, driving business development, and overseeing the delivery of high-value advisory engagements.
The Solutions Architect will lead discovery sessions to translate business goals into scalable Data and AI architectures while serving as the primary technical advisor for client engagements. They will own the end-to-end delivery of solutions from architecture to production deployment while mentoring engineering teams and leveraging AI to improve productivity.
The role involves designing and executing data governance programs, including metadata cataloging and data quality controls. You will also act as a facilitator to align business and technical stakeholders while coaching client staff on data stewardship practices.
The Lead Analytics Consultant will manage client engagements by gathering requirements, prototyping solutions, and delivering high-quality analytical outcomes. They are also responsible for mentoring junior consultants, driving account growth, and collaborating with sales and marketing teams.
The Lead Advisory Consultant will help enterprise clients identify AI governance gaps and design scalable, responsible governance frameworks. They will also lead multi-workstream engagements, define AI operating models, and partner with sales to shape strategic opportunities.
The Director will own the design, delivery, and financial performance of AI and data product engagements while leading a team of product managers. They are also responsible for driving go-to-market strategies, managing client relationships, and ensuring high-quality delivery across a portfolio of accounts.
The AI & Data Strategy Architect advises clients on leveraging data and AI to drive business transformation and competitive advantage. They are responsible for creating strategic roadmaps, designing modern data architectures, and leading cross-functional teams to deliver successful client outcomes.
Lead the end-to-end architecture and implementation of production-ready agentic AI solutions for enterprise clients. Collaborate with cross-functional teams to design reusable accelerators and establish technical standards for AI delivery.
Lead end-to-end AI and data strategy engagements, including problem definition, roadmap design, and the development of operating models. Manage executive-level stakeholder relationships while bridging the gap between business needs and technical execution to drive measurable outcomes.
The AI Services Lead will manage the private equity vertical for the Anthropic partnership, driving AI activation and client success across portfolio companies. They will lead the origination and shaping of engagements, acting as an executive sponsor to align AI solutions with financial outcomes like EBITDA improvement.
Lead and motivate client technical teams in the design, implementation, and operational support of modern data platforms. Manage multiple customer accounts simultaneously while ensuring high-quality delivery, stakeholder communication, and process improvements.
Lead the design of end-to-end Applied AI architectures including predictive ML, MLOps, and generative AI solutions. Collaborate with stakeholders to translate business requirements into production-ready technical roadmaps and implementation plans.
Lead the end-to-end architecture, implementation, and lifecycle management of AI/ML applications to deliver measurable business value. Collaborate with cross-functional teams and clients to design scalable, secure, and resilient data and machine learning solutions.
You will lead the architecture and hands-on implementation of production-ready agentic AI solutions for enterprise clients. Additionally, you will collaborate with cross-functional teams to design reusable accelerators and establish technical standards for the India Agentic Delivery Center.
Design, build, and operationalize production-ready agentic AI solutions that integrate with enterprise systems to deliver measurable business outcomes. Collaborate with cross-functional teams to establish technical standards, reusable accelerators, and high-quality delivery patterns.
The Principal Solutions Architect will design, deliver, and operationalize large-scale, cloud-native data platforms for global enterprise clients. They will also provide technical leadership, mentor engineering teams, and act as a trusted advisor to senior client stakeholders.
You will lead discovery sessions to translate complex client challenges into scalable Data and AI architectures while serving as the primary technical advisor. Additionally, you will own the end-to-end delivery of solutions and mentor engineering teams through implementation and production deployment.
The Applied AI Solutions Architect will design and deliver production-ready AI and machine learning solutions while partnering with clients to solve complex business challenges. This role involves leading technical workstreams, guiding implementation, and bridging the gap between business requirements and modern cloud-based AI architectures.
Lead the architecture, operation, and continuous improvement of modern cloud-native data platforms for multiple enterprise customers. Translate complex business requirements into actionable roadmaps while mentoring engineers and serving as a trusted advisor to senior stakeholders.
You will own the technical delivery and platform reliability of cloud-native data environments on AWS and Azure for managed services clients. This involves building infrastructure-as-code, maintaining CI/CD pipelines, and collaborating with stakeholders to implement scalable, well-governed solutions.
Operate, mature, and optimize modern cloud data platforms including streaming, data lakes, and warehouses for enterprise customers. Act as a technical leader and trusted advisor to align stakeholders and drive the reliability and scalability of data architectures.
Lead the design, implementation, and optimization of secure and scalable cloud-native data platforms for managed services clients. Collaborate with cross-functional teams and stakeholders to align platform strategies with business goals and maximize ROI.
Lead the design, implementation, and optimization of secure and scalable cloud-native data platforms for managed services clients. Collaborate with cross-functional teams and stakeholders to align platform strategies with business goals and maximize ROI.
Design and provision large-scale cloud-native data platforms and infrastructure on AWS and Azure using Snowflake. Lead technical teams in managing modern data stacks and provide architectural guidance to ensure scalability and security for multiple customer accounts.
Lead the design and implementation of end-to-end production data solutions for global enterprise clients. Manage and mentor a team of Solution Architects and Data Engineers while collaborating with stakeholders to ensure successful project delivery.
The Territory Director is responsible for scaling business in the Northeast region by sourcing new customers and managing strategic partner relationships. They must exceed sales targets across data engineering, machine learning, and analytics practice areas while co-selling with ecosystem partners.
The Territory Director is responsible for scaling business by sourcing new customers and managing strategic relationships within the cloud data ecosystem. Key duties include exceeding sales targets across data and AI practice areas and co-selling with partners like Snowflake and AWS.
The Territory Director is responsible for exceeding quarterly/annual sales targets across all practice areas and co-selling transformative data and AI engineering services with partners like Snowflake and AWS into enterprise companies. This role also involves driving lead generation activities and taking accountability for the phData brand, sales, delivery, and overall customer success within the assigned territory.
