phData

• 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.

Role Description We’re looking for an experienced Senior Program Manager who will help lead us through our next phase of growth. In this role, the Senior Program Manager oversees multiple high visibility projects leveraging varying SDLC’s, ensuring alignment across internal teams, including sales and delivery, and key customer/partner stakeholders. A core part of this role will also involve nurturing future leaders within the team, helping us grow responsibly while staying true to our engineering principles and positive culture. - Bring structure to ambiguity and clarity to complexity. - Take on complex challenges and see them through to completion. - Proactive and composed under pressure, confident in making informed decisions. - Identify business value of project scope and steer team to implement objectives. - Build and nurture relationships, connecting with others effectively. - Unite team members from diverse backgrounds to achieve shared goals. - Identify and implement process improvements to boost efficiency. - Take full ownership and drive the technical team to meet expectations. - Act as a liaison between delivery teams, clients, and account leadership. - Drive deadlines, team morale, transparency, feedback, and solutions. Qualifications - 15+ years of Technical Program Management delivering complex, multi-workstream initiatives. - Proven ability to manage 4-5 customers concurrently with 85%+ billable utilization. - Experience with Snowflake, Databricks, dbt, Fivetran, PowerBI, Tableau, and Sigma technologies. - People management experience, leading high-performance teams. - Hands-on Portfolio/Program Management expertise with Agile methodologies. - Proficiency with Jira, Azure DevOps, MS Project, and Microsoft 365. - Exceptional written, verbal, and presentation skills. - Highly organized and self-directed; excels at time management. - Strong analytical, decision-making, and critical-thinking skills. - Direct client-facing experience in a consulting or professional services organization. - Bachelor’s degree in IT or a related technical field preferred. - PMP and CSM certifications strongly preferred. Requirements - Take full ownership of programs for phData’s largest strategic accounts. - Build and maintain strong relationships with internal sales and delivery leadership. - Connect client strategic objectives to project outcomes. - Translate business objectives into actionable data and AI roadmaps. - Lead and mentor multidisciplinary teams, elevating delivery quality. - Own project and portfolio financials, including revenue targets and margin management. - Ensure rigorous project governance with clear RACI and risk logs. - Proactively identify and mitigate risks across delivery, scope, and resourcing. - Drive account growth through upsell and cross-sell of data and AI solutions. - Demonstrate strong interpersonal skills for leading difficult conversations. - Facilitate innovation forums to accelerate value realization. - Document and enhance phData best practices and templates. Benefits - Remote-First Workplace - Medical Insurance for Self & Family - Medical Insurance for Parents - Term Life & Personal Accident - Wellness Allowance - Broadband Reimbursement - 2-4 week bootcamp and continuous learning opportunities - Paid certifications and professional development allowance - Additional compensation for creating company-approved content Company Description phData is a remote-first global company with employees based in the United States, Latin America, and India. We celebrate the culture of each of our team members and foster a community of technological curiosity, ownership, and trust. We hire top performers and allow you the autonomy to deliver results. - 6x Snowflake Partner of the Year (2020-2025) - #1 Partner in Snowflake Advanced Certifications - 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, etc) - Recognized as an award-winning workplace in the US, India, and LATAM - 9x Best Places to Work - Inc 5000 Fastest Growing US Companies (2020-2024)

• Own and drive account strategy, delivery, and growth for a portfolio of strategic Financial Services accounts, creating and executing long-term growth plans aligned to client goals and phData’s capabilities. • Serve as the senior account leader for your portfolio, accountable for client satisfaction, revenue growth, delivery quality, profitability, and executive relationship management. • Translate client business objectives and AI & Data priorities into strategic programs spanning data platforms, pipelines, governance, analytics, and AI, in partnership with data engineering, analytics, and ML teams. • Help Financial Services clients address critical business priorities such as regulatory reporting, risk management, fraud detection, customer intelligence, operational efficiency, and AI enablement. • Ensure engagements across your portfolio are delivered on time, within scope, and with strong profitability and measurable business value, while maintaining approximately 40% utilization to stay close to delivery and client outcomes. • Act as a trusted advisor to senior client stakeholders, helping shape roadmaps, influence strategic decisions, and guide long-term transformation initiatives. • Collaborate with cross-functional partners across Go-to-Market, Delivery, Finance, Product, and Partner teams to align on account health, project success, and future opportunity. • Provide strategic leadership during executive meetings, workshops, QBRs, and roadmap discussions, positioning phData as a trusted advisor to both business and technology stakeholders within Financial Services organizations. • Ensure high quality in deliverables by staying engaged with delivery teams, reviewing performance metrics, and driving governance, risk management, and issue resolution across accounts. • Partner with ecosystem providers such as Snowflake, AWS, Databricks, and others to design and execute joint account strategies that bring added value to clients and accelerate portfolio growth. • Mentor and coach team members, fostering a culture of learning, feedback, and continuous improvement. • Contribute to internal initiatives such as Financial Services industry playbooks, account planning frameworks, sales enablement materials, and repeatable patterns for driving AI & Data outcomes in the sector. • Represent phData with professionalism at industry events, conferences, and panels, helping elevate our presence and reputation within Financial Services. • Share best practices, deal learnings, and client insights to improve phData’s client engagement model, forecasting, and overall delivery excellence. • Help define and refine practice standards, reusable assets, and delivery frameworks that support account success across the Financial Services portfolio.

• Support 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.

• oversee multiple high visibility projects leveraging varying SDLC’s, ensuring alignment across internal teams, including sales and delivery, and key customer/partner stakeholders. • nurture future leaders within the team, helping us grow responsibly while staying true to our engineering principles and positive culture. • connect client strategic objectives to project outcomes by crafting a clear narrative of how our work drives measurable value; create executive-ready enablement (updates, ROI snapshots, case studies) and partner with sponsors to socialize and sell success internally across stakeholder groups. • own project and portfolio financials, including revenue targets, margin management, forecasting, and reporting; identify levers to improve profitability. • proactively identify and mitigate risks across delivery, scope, and resourcing; create recovery plans and drive resolution to closure. • facilitate innovation forums and/or onsite sessions to accelerate value realization and stakeholder alignment. • document and enhance phData best practices, playbooks, and templates; drive adoption of delivery KPIs and continuous improvement across the portfolio.

• Own and drive the design and delivery of production-grade agentic AI/ML solutions and platforms for global enterprise clients. • Translate complex business requirements into opinionated, prescriptive architectures and implementation plans that leverage modern agentic stacks, LLMs, and cloud-native AI/ML platforms. • Lead Zero-to-One delivery for the India Agentic Delivery Center, taking engagements from initial discovery through to production-ready agents and closed-loop intelligence workflows. • Ensure engagements are delivered on time, within scope, and with measurable business value for clients, including under fixed-price and outcome-based commercial models. • Communicate the business value, ROI, and risks of agentic solutions to both technical and non-technical stakeholders, including executive and C-level audiences. • Collaborate with cross-functional partners including global leadership, forward-deployed US-based engineers, data engineering, analytics, partner, and marketing teams to deliver successful client engagements. • Partner with the Global Leadership team to prioritize agentic solutions and accelerators based on market demand, key technology stacks (e.g., Snowflake, AWS), and phData’s strategic roadmap. • Provide technical and strategic leadership during client workshops, discovery sessions, architecture reviews, and delivery governance forums. • Serve as the primary point of escalation for India-based delivery, resolving technical issues, client misalignments, and performance concerns with urgency and ownership. • Ensure high quality in deliverables through engineering best practices, including robust SDLC processes, code reviews, documentation, testing, and production-readiness standards. • Architect and stand up the foundational India Agentic Delivery Center, designing delivery models, operating mechanisms, and integrations with the broader consulting organization. • Recruit, onboard, and develop an elite team of architects and engineers, setting a high technical bar and ensuring consistent performance management and calibration. • Drive the development of reusable accelerators, modular agentic codebases, and solution templates that can be applied across clients and industries. • Contribute to internal initiatives such as IP development, capability management, partner engagement, and thought leadership aligned to AI/ML and agentic architectures. • Represent phData with professionalism in all interactions, communicating clearly with both technical and non-technical stakeholders and acting as the face of the India agentic team with clients. • Act as a trusted advisor to senior client stakeholders and C-suite executives, shaping AI/ML and agentic roadmaps, influencing strategic decisions, and guiding long-term transformation initiatives. • Mentor and coach architects and engineers, fostering a culture of extreme ownership, high performance, continuous learning, and feedback. • Help define and refine global practice standards, technical bars, and delivery frameworks for agentic AI/ML solutions, ensuring alignment across regions. • Drive strategic growth of the Agentic Delivery Center by identifying new opportunities, informing go-to-market strategies, and partnering with alliances and marketing on field-facing assets.

• Design and implement data solutions as a hands-on Data Engineer • Lead and mentor other engineers • Develop end-to-end technical solutions, ensuring performance, security, and scalability • Program using Java, Python, and/or Scala • Work with cloud data platforms like Snowflake, AWS, Azure, Databricks, and GCP • Write, debug, and optimize SQL queries • Communicate effectively with clients and present solutions • Create detailed documentation for solutions and integration processes

Role Description We are looking for a Data Engineer to join our Data Engineering team. In this role, you will design, build, and productionize modern cloud data platforms and pipelines that enable reliable analytics and AI solutions for our clients. You will collaborate closely with client stakeholders, architects, and engineering teams to deliver secure, scalable, high-performing data solutions and advance phData’s delivery excellence. Key Responsibilities - Client Delivery: - Own and drive end-to-end data pipeline and platform implementation for cloud-based analytics and data platform projects across enterprise clients. - Translate business requirements into technical data engineering 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. - Collaboration & Leadership: - Collaborate with data engineers, analytics engineers, data scientists, solution architects, and project managers to deliver successful client engagements. - Provide technical leadership during architecture and design workshops, discovery sessions, and project delivery. - Ensure high quality in deliverables through code reviews, documentation, testing, governance, and production-ready operational practices. - Partner with practice and account leaders to identify opportunities to expand data engineering engagements, improve delivery quality, and standardize reusable patterns and frameworks. - Practice & Firm Contribution: - Contribute to internal initiatives such as IP development, accelerators, reference architectures, playbooks, and internal training and mentoring. - Represent phData with professionalism in all interactions, communicating clearly with both technical and non-technical stakeholders. Qualifications - 3–4 years of experience as a Data Engineer designing, building, and deploying data solutions to production. - Strong programming skills in Python and/or Scala for data engineering workloads. - Hands-on experience with core cloud data platforms such as Snowflake, AWS, Azure, and Databricks. - Advanced SQL skills, including the ability to write, debug, and optimize complex queries. - Experience developing end-to-end technical solutions with a focus on performance, security, scalability, and robust data integration. - Experience creating detailed technical documentation, including solution designs, POCs, roadmaps, sequence diagrams, logical system views, and related artifacts. - Experience delivering projects for external or internal clients in a professional services or consulting environment. - Ability to break down complex problems into structured, actionable steps and drive them through to completion. - Strong written and verbal communication skills in English. - Ability to create and deliver clear, client-facing presentations and solution walkthroughs for both technical and non-technical audiences. - Demonstrated ability to work effectively with distributed and cross-functional teams. - Proven track record of taking ownership, managing multiple priorities, and delivering high-quality work with minimal supervision. Requirements - 4-year Bachelor’s degree in Computer Science or a related field. Preferred Qualifications - Production experience with core data and cloud platforms such as Snowflake, AWS, Azure, GCP, Hadoop, Databricks, and/or Informatica Intelligent Cloud Services (IICS). - Experience with cloud and distributed data storage technologies such as S3, ADLS, HDFS, GCS, Kudu, Elasticsearch/Solr, Cassandra, or other NoSQL storage systems. - Hands-on experience with data integration and streaming technologies such as Spark, Kafka, event/streaming platforms, Streamsets, Matillion, Fivetran, NiFi, AWS Data Migration Services, Azure Data Factory, Google Dataproc, or similar tools. - Experience integrating data from multiple sources (e.g., queues, relational databases, files, search indexes, APIs). - Experience across the complete software development lifecycle including design, documentation, implementation, testing, and deployment of data solutions. - Experience with automated data transformation and data curation using tools such as dbt, Spark, Spark Streaming, and automated data pipelines. - Experience with workflow management and orchestration tools such as Airflow, AWS Managed Airflow, Luigi, or NiFi. - Prior experience working in global or remote teams and partnering across multiple regions is a plus. - Contributions to open-source projects, technical communities, speaking, writing, or creation of internal accelerators are a plus. Location & Time Zone Expectations - This role is based in India and operates primarily in India Standard Time (IST). - We are a remote-first company, and you should be comfortable working with a distributed global team. - Some flexibility may be required to collaborate across time zones with colleagues and clients. - Client needs may occasionally require flexibility in working hours to support key milestones or workshops. Benefits - Remote-First Workplace - Medical Insurance for Self & Family - Medical Insurance for Parents - Term Life & Personal Accident - Wellness Allowance - Broadband Reimbursement - Continuous learning and growth opportunities to enhance your skills and expertise - Other benefits include paid certifications, professional development allowance, and bonuses for creating company-approved content

• Own and drive the design and delivery of analytics, reporting, and data visualization solutions for enterprise clients using tools such as Power BI. • Translate business requirements into technical solutions and interactive prototypes that align with phData methodologies, standards, and best practices. • Deliver project-based consulting engagements, including backlog support and development, ensuring work is delivered on time, within scope, and with measurable business value. • Analyze, troubleshoot, and tune performance or deployment issues across reports, data models, and underlying platforms as needed. • Recommend best practices to optimize data models, reports, and overall platform architecture, particularly in modern cloud data environments (e.g., Snowflake). • Collaborate with cross-functional partners including data engineering, analytics, and client business stakeholders to deliver successful client engagements. • Manage client expectations by leading regular status meetings, providing clear updates, and proactively soliciting feedback through working sessions and demos. • Provide technical leadership in the use of Power BI and data preparation tools (e.g., Alteryx, KNIME), guiding clients on how to scale and govern their analytics solutions. • Ensure high quality in deliverables through documentation, validation, and adherence to governance, security, and change management standards. • Partner with practice and account leaders to identify opportunities to expand analytics use cases, improve delivery patterns, and standardize reusable approaches. • Contribute to internal initiatives such as developing accelerators, templates, and best-practice playbooks for Power BI, data preparation, and modern BI. • Share knowledge with peers through mentoring, informal coaching, and collaborative problem solving. • Represent phData with professionalism in all interactions, communicating clearly with both technical and non-technical stakeholders.

• Lead the hands-on delivery of enterprise-wide adoption programs • Design and execute structured change and adoption plans • Translate technical platform impacts into role-based change tactics • Define, track, and report on adoption and behavior change metrics • Design and facilitate training and enablement experiences • Serve as a trusted advisor to client sponsors and stakeholders • Partner with executive sponsors, product and delivery teams • Build cross-practice relationships to drive customer success • Help shape differentiated AI Adoption offerings • Mentor junior consultants and contribute to internal knowledge sharing • Own end-to-end delivery of AI, data, and analytics change programs • Exhibit strong ownership in resolving delivery challenges