phData

• Partner with business groups to identify AI/automation opportunities. • Assess feasibility (viability, data, integration, ROI, readiness) and help prioritize work across a portfolio of ideas. • Translate business problems into clear solution designs and implementation plans. • Communicate recommendations in a way that is understandable to both technical and non‑technical stakeholders. • Design, configure, and refine AI‑driven applications and agents (RAG, prompt design, agent workflows) for internal and occasional client use. • Build on platforms like Glean, Microsoft Copilot, and Snowflake Intelligence to orchestrate end‑to‑end agentic workflows (e.g., retrieval, reasoning, actions, and hand‑offs). • Implement guardrails, monitoring, and evaluation patterns so agents are safe, reliable, and helpful. • Implement workflow automation using RPA, scripting, and low‑code/no‑code tools to remove manual, repetitive steps from business processes. • Integrate systems and data sources through APIs and connectors to enable smooth, end‑to‑end execution. • Operate and optimize automations over time for performance, reliability, and cost. • Build automation and AI workflows using modern engineering practices (version control, code review, testing, CI/CD), with a focus on maintainability and reusability. • Contribute to shared patterns, templates, and documentation that make it easier to roll out new AI agents and automations. • Work with cross‑functional teams (Platform, Analytics, Operations, Sales, Delivery, Finance, IT) to deliver solutions that align with business priorities. • Participate in agile planning and ceremonies to keep work visible, prioritized, and on track. • Share best practices on AI agents and workflow automation across the organization. • Track and experiment with emerging AI/automation tools, and bring forward ideas for pilots and improvements. • Help evaluate and operate secure, governed cloud AI services.

• Lead the architecture, hardening, and continuous security improvement of enterprise Snowflake platforms across complex, security-sensitive client environments, ensuring strong controls, resilience, and long-term maintainability. • Translate business, security, and technical requirements into operating models, roadmaps, and engineering work that strengthen platform controls, access patterns, governance, and secure delivery practices. • Design and lead proactive monitoring, alerting, and threat detection across Snowflake environments using native audit and telemetry data, integrating with SIEM or similar platforms to detect, investigate, and remediate anomalous or unauthorized activity. • Use threat modeling and attack-path analysis to identify and remediate risk across access models, data sharing, network controls, identity posture, third-party integrations, service accounts, secrets management, and configuration drift. • Guide architectural and operational decisions across governance, authentication, privileged access, network security, and data protection, balancing platform risk, business priorities, compliance requirements, and performance goals. • Serve as a trusted advisor and senior technical leader across client stakeholders, internal engineers, and partner teams, clearly communicating trade-offs, platform risks, and remediation plans while guiding difficult decisions in complex environments. • Contribute to and improve managed services standards by creating automation, runbooks, accelerators, and best practices that enhance the quality, consistency, and scalability of secure Snowflake operations. • Lead cross-functional teams and mentor engineers while helping mature phData’s secure managed services delivery model.

• Lead complex AI and data programs as the primary point of contact for client sponsors and partners, owning successful delivery and client outcomes. • Translate client strategy into clear roadmaps and integrated delivery plans, balancing pace, quality, scope, and risk across multi-geo teams. • Partner closely with technical delivery leads, architects, and engineers to ensure delivery aligns to business goals and measurable value. • Own engagement financials including budget, burn, margins, forecasting, utilization, and change control; proactively manage risk and variances using delivery metrics. • Build strong, trust-based relationships with senior client, partner, and technical stakeholders, providing concise status updates and executive-ready storytelling. • Navigate ambiguity, competing priorities, and difficult trade-offs with calm, data-informed recommendations. • Manage project risks and customer escalations end-to-end in close partnership with delivery and sales. • Identify opportunities to expand phData services, including AI and analytics offerings, within existing accounts. • Provide account health readouts covering financials, project status, AI adoption metrics, and key blockers. • Help shape a healthy, inclusive delivery culture by coaching Project Managers and consultants, and contributing to the evolution of AI-augmented delivery practices.

• Serve as the executive-level technical leader and primary advisor for strategic customer accounts • Act as a CTO for your accounts, guiding technology decisions, roadmaps, architecture, and platform maturity • Build deep relationships with technical and business stakeholders, driving consensus on solutions • Lead Quarterly Business Reviews (QBRs), Innovation Days, roadmap presentations, and architectural vision sessions • Deliver clear recommendations, success criteria, and measurement frameworks for each engagement • Step into complex or ambiguous problem spaces and provide clarity, direction, and momentum • Collaborate closely with Account Executives to create and execute growth strategies • Identify new opportunities for phData services and lead scoping, pricing, and proposal development • Influence buying centers, build executive relationships, and create value-based narratives for expansion • Deeply understand customer needs and industry trends, positioning phData offerings accordingly • Drive strategic alignment between the customer, partners (e.g., Snowflake), and internal teams • Own delivery success and overall satisfaction across all projects within assigned accounts • Ensure delivery quality through mentorship, leadership, and hands-on involvement as needed • Provide architectural oversight, escalation management, and alignment across teams • Build technical documentation, vision statements, solution architectures, and proofs of concept • Drive accountability across internal and client teams through strategic, candid communication • Lead enablement and education of delivery teams through documentation, onboarding support, and cross-training sessions • Mentor technical consultants and engineers across the delivery organization • Build and grow technical and communication skills across teams to elevate delivery maturity • Identify and share delivery patterns that drive scalable, repeatable customer success • Actively contribute to phData internal initiatives and communities of practice

• Own and drive the delivery and operational excellence of modern data platforms (including streaming, data lakes, and analytics) for multiple customer accounts. • Translate business and technical requirements into actionable Epics, Stories, and Tasks that mature and improve customer data platforms while aligning to phData methodologies and best practices. • Ensure engagements are delivered on time, within scope, and on budget, with clear measures of success and value for customers. • Lead and motivate client technical teams, providing hands-on technical leadership for design, implementation, and ongoing operational support of cloud data platforms. • Provide leadership during major incidents, ensuring effective coordination, communication, escalation, and follow-through to resolution, root cause analysis, and remediation. • Collaborate with cross-functional partners including architects, engineers, and site reliability/operations teams in the US and India to deliver successful client engagements and seamless handoffs across time zones. • Develop strong relationships with sponsors and stakeholders, keeping them informed of progress and outcomes, hosting leadership discussions, and identifying opportunities to expand the value of our services. • Ensure teams are trained and prepared to deliver by driving accurate process documentation, clear internal and external communication, and continuous readiness for production operations. • Maintain proper staffing levels across accounts, balancing delivery between US and India team members to support continuous delivery and high customer satisfaction. • Deliver feedback and drive improvements to our overall Managed Services offerings through process optimization, knowledge sharing, and creation of accelerators and reusable assets. • Champion phData’s core values and foster a culture of accountability, ownership, and continuous improvement within delivery teams. • Contribute to the evolution of best practices for incident management, change management, and modern data platform operations across multiple customers. • Act as a trusted advisor to senior client stakeholders (Director and VP level), shaping roadmaps for cloud data platforms and influencing strategic decisions around data and analytics operations. • Mentor and coach architects, engineers, and operations team members, helping them grow technical depth and delivery capabilities across large and complex environments. • Help define and refine Managed Services standards, playbooks, and frameworks to support scalable growth across a broad customer base.

• Lead high-impact interviews and workshops with Executives, IT, and Business Stakeholders to uncover root-cause problems and define project vision, scope, and success metrics. • Understand enterprise business strategy and align solutions to clear business outcomes. • Map “As-Is” and “To-Be” value streams and business processes • Identify bottlenecks and automation/AI opportunities, distinguishing full automation from human-augmented workflows. • Quantify benefits (cycle time, error reduction, capacity, CSAT) to support prioritization. • Elicit, analyze, and document functional and non-functional requirements, user stories, and acceptance criteria, including for AI/ML and GenAI features. • Capture business rules, decision logic, and user journeys. • Define data requirements (sources, quality, latency, privacy constraints). • Specify model behavior, guardrails, and human-in-the-loop interactions. • Address non-functional needs (performance, explainability, auditability, SLAs). • Navigate complex organizational hierarchies and goals to build consensus. • Support experimentation and rollout (PoCs, pilots), including test design, feedback loops, training, SOP updates, and communications. • Partner with architects and developers to ensure designs meet business needs and oversee User Acceptance Testing (UAT). • Own the quality and readiness of BA deliverables and coach project team members. • Drive project outcomes by keeping alignment between business objectives, implementation, and success metrics. • Use Generative AI tools (e.g., Claude, Glean, agents) to accelerate analysis, documentation, and solution design—letting the tech do the heavy lifting while you validate outputs, synthesize themes, and recommend future states. • Establish, grow, and maintain strong customer relationships as a trusted advisor.

• Build and operationalize end-to-end agentic AI solutions, like RAG pipelines, multi-agent workflows, and human-in-the-loop steps, for enterprise clients • Translate solution designs and business requirements into clean, well-tested production-grade code aligned with phData methodologies, standards, and best practices. • Build production-grade agents emphasizing reliability, scalability, security, observability, and evaluation and guardrail strategies for safe, accurate performance before and after deployment. • Ensure engagements are delivered on time, within scope, and with measurable business value for clients. • Contribute hands-on to reusable agentic accelerators and reference implementations aligned with the Intelligence Platform that can be deployed across multiple clients. • Help establish engineering patterns, tooling, and ways of working as part of the zero-to-one buildout of the India delivery center. • Collaborate with cross-functional partners, including forward-deployed engineers, data engineers, platform/DevOps engineers, and business stakeholders to deliver successful client engagements. • Ensure high-quality deliverables through code reviews, technical documentation, automated testing, and adherence to security and governance standards. • Partner with practice and account leaders to identify opportunities to expand engagements, improve delivery patterns, and standardize AI deployment approaches. • Contribute to internal initiatives such as IP development, accelerators, reference architectures, templates, playbooks, and training for colleagues on best practices for AI engineering. • Represent phData with professionalism in all interactions, communicating clearly with both technical and non-technical stakeholders.

• Propose, design, and provision cloud-native data solutions on AWS/Azure. Leverage a deep understanding of Snowflake, IAM, S3, EC2, Kinesis, Sagemaker, Airflow, Kafka, Azure Data Factory, ADLS, Fivetran, Matillion, DBT, and/or other services and tools in designing and enhancing these solutions. • Lead a technical team operating and managing modern data platforms - from streaming, to data lakes, to analytics, and beyond across a progressively evolving technical stack. • Provide clear ownership of multiple simultaneous customer accounts across a variety of technical stacks as the technical leader. • Skillfully navigate complex customer environments and build Epics, Stories, and Tasks in order to mature and improve our customers’ data platform. Delegate to and coach Engineers and ensure the successful and timely delivery of these Epics. • Provide thought leadership by recommending the right technologies and approaches to maturing and solving problems to help ensure performance, security, scalability, and user satisfaction. • Lead discussions and contribute to design recommendations for data model design for Data Warehouses and Data Lakes. • Continually hunt for ways to automate, optimize, and expand our customers’ data platform and our service offering.

• Own and drive end-to-end architecture, design, and delivery of modern cloud data and analytics solutions for enterprise customers across industries. • Translate business requirements into technical and data platform solutions that align with phData methodologies, standards, and best practices. • Ensure engagements are delivered on time, within scope, and with measurable business value for clients. • Architect secure, scalable, and high-performing data pipelines and integration patterns leveraging modern cloud data platforms and tooling. • Guide implementation teams through design decisions, trade-offs, and best practices across the full solution lifecycle. • Collaborate with cross-functional partners including data engineering, analytics, ML, cloud platform, sales, and PMO to deliver successful client engagements. • Provide technical and strategic leadership during workshops, discovery sessions, design reviews, and project delivery. • Ensure high quality in deliverables through architecture reviews, code reviews, documentation, testing, and governance. • Partner with practice and account leaders to identify opportunities to expand engagements, improve delivery, and standardize reusable solution patterns. • Support pre-sales activities such as scoping, solutioning, and presenting technical approaches to client stakeholders. • Contribute to internal initiatives such as IP development, accelerators, reference architectures, templates, playbooks, training, and mentoring. • Represent phData with professionalism in all interactions, communicating clearly with both technical and non-technical stakeholders. • Share learnings and best practices across the organization to continuously improve delivery quality and efficiency. • Act as a trusted advisor to senior client stakeholders, shaping roadmaps, influencing strategic decisions, and guiding long-term initiatives. • Mentor and coach team members, fostering a culture of learning, feedback, and continuous improvement. • Help define and refine practice standards, reusable assets, and delivery frameworks.

• Own and drive end-to-end architecture, solution design, and delivery of agentic AI solutions for enterprise clients across diverse industries. • Design and build reusable agentic accelerators and reference architectures aligned with the Intelligence Platform that can be deployed across multiple clients in a fixed-price format. • Translate ambiguous business problems into clear agentic solution designs that align with the phData Intelligence Platform, methodologies, standards, and best practices. • Architect production-grade agents emphasizing reliability, scalability, security, observability, and evaluation and guardrail strategies for safe, accurate performance. before and after deployment. • Ensure engagements are delivered on time, within scope, and with measurable business value for clients. • Collaborate with others to shape the architectural standards for how agentic capabilities and accelerators are built and deployed at clients. • Engage with cross-functional partners, including forward-deployed engineers, data scientists, data engineers, platform/DevOps engineers, and business stakeholders, to deliver successful client engagements. • Ensure high quality in deliverables through code reviews, documentation, testing, governance, and adherence to security and compliance standards. • Partner with practice and account leaders to identify opportunities to expand engagements, improve delivery, and standardize patterns for deploying and operating AI solutions. • Contribute to internal initiatives such as IP development, accelerators, reference architectures, templates, playbooks, and training related to AI engineering. • Represent phData with professionalism in all interactions, communicating clearly with both technical and non-technical stakeholders. • Act as a trusted advisor to senior client stakeholders, shaping roadmaps, influencing strategic decisions, and guiding long-term initiatives. • Mentor and coach team members, fostering a culture of learning, feedback, and continuous improvement.