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.
The Analytics Consultant will gather client requirements and deliver scalable, durable analytics solutions using low-code/no-code tools and SQL. They are also responsible for managing client expectations, mentoring associate consultants, and identifying new business opportunities within existing accounts.
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 internal teams to identify new business opportunities.
Lead the activation and end-to-end delivery of Anthropic-focused accounts, driving growth and shaping AI transformation roadmaps. Act as a trusted advisor to senior client stakeholders to identify use cases and ensure successful project outcomes.
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.
Develop end-to-end technical data solutions that ensure performance, security, and scalability for enterprise clients. Create detailed technical documentation, including roadmaps, sequence diagrams, and system views while delivering presentations to stakeholders.
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.
Lead complex data and AI programs while serving as the primary point of contact for client sponsors and partners. Manage engagement financials, delivery roadmaps, and cross-functional teams to ensure measurable business impact.
The Director will lead enterprise-wide adoption of AI and data solutions by driving pre-sales engagements, defining value propositions, and overseeing delivery quality. They will also manage executive client relationships, track adoption KPIs, and mentor a team of change management practitioners.
You will lead the technical delivery and operational reliability of cloud data and AI platforms for managed services clients. This includes managing incidents, automating workflows, and collaborating with cross-functional teams to ensure high-quality, resilient solutions.
Design and build end-to-end Looker semantic models while migrating legacy reports to governed cloud data warehouses. Collaborate with data engineering teams to validate data quality and mentor junior developers on best practices.
The Forward Deployed Strategist acts as a business-facing lead to identify, shape, and accelerate high-value AI and data opportunities for clients. They translate complex business problems into actionable MVPs while building strong relationships with executive stakeholders to drive measurable business outcomes.
The Senior Business Analyst acts as a bridge between complex business challenges and technical solutions by leading stakeholder discovery and process design. They are responsible for defining requirements for AI and data projects while ensuring alignment between business objectives and measurable outcomes.
Lead the end-to-end architecture, design, and delivery of modern cloud data and analytics solutions for enterprise clients. Collaborate with cross-functional teams to translate business requirements into scalable technical solutions while providing strategic leadership and mentorship.
The Senior IT Operations Administrator will manage the end-to-end lifecycle of internal IT support and ensure the reliability, security, and performance of cloud-based systems and end-user devices. They will also drive infrastructure improvements, automation initiatives, and maintain governance across IT assets and security compliance.
Lead discovery sessions to translate complex client challenges into scalable, production-ready Data & AI architectures. Own the successful delivery of solutions from architecture through production deployment while mentoring engineering teams.
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.
Lead end-to-end analytics workstreams and build scalable Power BI solutions to help clients realize measurable value from their data. Collaborate with stakeholders to translate business needs into actionable analytics products while guiding technical delivery and best practices.
Lead the delivery of Looker-centric analytics engagements by translating business requirements into impactful, production-grade visualization solutions. Collaborate with client stakeholders and internal teams to optimize data models, troubleshoot performance issues, and ensure scalable analytics outcomes.
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.
The role involves designing and executing tailored data governance programs while facilitating alignment between business and technical stakeholders. You will also manage metadata cataloging, implement data quality controls, and coach client staff on effective data stewardship practices.
You will lead the go-to-market strategy and development of commercial offerings for the life sciences sector while advising clients on data, AI, and analytics solutions. Additionally, you will drive business development, manage client pursuits, and oversee the creation of repeatable commercial accelerators.
The Senior Product Manager will drive the success of data and AI solutions by translating business goals into clear requirements and agile execution plans. They will lead cross-functional teams and manage stakeholder communication to ensure product quality, adoption, and continuous improvement.
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.
Oversee multiple high-visibility data and AI projects for strategic customer portfolios, ensuring alignment between internal delivery teams and client stakeholders. Drive account growth through the translation of business objectives into actionable technical roadmaps and the mentorship of multidisciplinary teams.
Lead the India Product Engineering team and Platform Operations to develop automation tools and ensure operational excellence across multi-cloud environments. Oversee technical delivery, security compliance, and the mentorship of engineers while collaborating with US leadership.
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 complex AI and data programs as the primary point of contact for client sponsors, ensuring technical delivery translates into measurable business impact. Manage engagement financials, project roadmaps, and multi-geo teams while identifying opportunities to expand services within existing 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.
Lead the architecture, security posture, and continuous improvement of enterprise Snowflake platforms for security-sensitive clients. Own the end-to-end process from threat detection and monitoring to remediation and governance.
Act as a CTO-like advisor for strategic customers, guiding technical strategy, architecture, and platform maturity. Drive account growth and delivery excellence while mentoring technical teams to ensure high-quality project outcomes.
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.
This role involves defining and operationalizing Intelligence Platform and AI advisory offerings, connecting data and AI platforms to clear business outcomes, and codifying successful approaches into repeatable frameworks. Responsibilities also include partnering with Sales for deal shaping, leading key advisory engagements, and equipping field teams for successful positioning and delivery.
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.
