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 Senior Consultant will design and implement data governance programs, including policies, metadata cataloging, and data quality controls. They will also facilitate working groups and coach client staff to ensure effective data stewardship and alignment between business and technical teams.
The Forward Deployed Strategist identifies and shapes high-value AI and data opportunities by working directly with business stakeholders to translate complex problems into actionable MVPs. They act as a bridge between business needs and technical teams, ensuring solutions deliver measurable value and align with organizational goals.
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.
Lead and manage complex data and AI programs while serving as the primary point of contact for client sponsors and partners. Drive measurable client outcomes by orchestrating multi-geo teams and managing engagement financials, scope, and delivery roadmaps.
Design, build, and operationalize production-ready AI and machine learning systems to solve complex enterprise business problems. Collaborate with cross-functional teams to implement robust AI patterns and contribute to reusable engineering standards and accelerators.
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 cross-functional teams while maintaining strong relationships with senior stakeholders.
Lead end-to-end analytics engagements by owning the planning, development, and deployment of scalable Sigma solutions. Collaborate with client stakeholders to translate business needs into actionable analytics products while mentoring internal delivery teams.
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 discovery sessions to translate complex client challenges into scalable, production-ready Data & AI architectures. Oversee the end-to-end delivery of enterprise solutions while mentoring engineering teams and advising executive stakeholders.
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.
You will partner with clients to design and build scalable, production-ready Data and AI solutions while serving as a senior technical contributor. Additionally, you will mentor engineering teams, contribute to technical architecture, and leverage AI tools to improve delivery speed and code quality.
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 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.
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.
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.
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.
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.
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.
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 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.
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.
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.
