phData

Events

• Own end-to-end logistics for customer dinners, partner roadshows, golf outings, workshops, executive roundtables, happy hours, and assist with large-scale partner conferences (e.g., Snowflake Summit, AWS re:Invent).
• Collaborate closely with account teams, Partner Marketing, and Snowflake/AWS counterparts to align event strategy with regional sales priorities and partner GTM motions.
• Ensure flawless execution and measurable impact. Track registrations, attendance, sourced/attributed pipeline, and post-event follow-up in Salesforce/HubSpot.
• Maintain a clear view of the quarterly event calendar. Own timelines, task lists, vendor coordination, and budget reconciliation.
• Partner with the marketing team to develop event collateral, invitations, landing pages, and promotional campaigns.
• Travel as needed to manage logistics and ensure exceptional attendee experiences (approx. 20–30% travel).

Field Event Marketer

Risk

• Manage multiple work streams, build executive relationships, and guide clients through complex data challenges
• Design scalable solutions
• Create value, foster trust, and build relationships as a strategic influencer in the evolving data landscape

Principal Data Governance

Machine Learning Engineer

• Design and create environments for data scientists to build models and manipulate data
• Work within customer systems to extract data and place it within an analytical environment
• Learn and understand customer technology environments and systems
• Define the deployment approach and infrastructure for models and be responsible for ensuring that businesses can use the models we develop
• Reveal the true value of data by working with data scientists to manipulate and transform data into appropriate formats in order to deploy actionable machine learning models
• Partner with data scientists to ensure solution deployability—at scale, in harmony with existing business systems and pipelines, and such that the solution can be maintained throughout its life cycle
• Create operational testing strategies, validate and test the model in QA, and implementation, testing, and deployment
• Ensure the quality of the delivered product

Senior Machine Learning Engineer

Solutions Engineer

• Designing and implementing data solutions best suited to deliver on our customer needs — from model inference, retraining, monitoring, and beyond — across an evolving technical stack.
• Providing thought leadership by recommending the technologies and solution design for a given use case, from the application layer to infrastructure; and they have the team leadership and coding skills (e.g. Python, Java, and Scala) to build and operate in production; and to help ensure performance, security, scalability, and robust data integration.
• Design and create environments for data scientists to build models and manipulate data
• Work within customer systems to extract data and place it within an analytical environment
• Learn and understand customer technology environments and systems
• Define the deployment approach and infrastructure for models and be responsible for ensuring that businesses can use the models we develop
• Demonstrate the business value of data by working with data scientists to manipulate and transform data into actionable insights
• Create operational testing strategies, validate and test the model in QA, and implementation, testing, and deployment
• Ensure the quality of the delivered product

Machine Learning Solutions Architect

DevOps Engineer

• Supporting and managing modern data platforms - from streaming, to data lakes, to analytics, and beyond across a progressively evolving technical stack.
• Ability to learn new technologies in a quickly changing field.
• Owns the execution of Tasks and questions around Tasks other Engineers are working on related to the project.
• Responds to Pager Incidents. Solves hard and challenging problems. Goes deep into customer processes and workflows to solve issues.
• Demonstrate clear ownership of tasks on multiple simultaneous customer accounts across a variety of technical stacks.
• Continually grow, learn, and stay up-to-date with the Managed Services technology stack.
• 24/7 rotational shifts.

Senior DevOps Engineer, Cloud

Financial Planning and Analysis

• Drive Account Strategy: Lead a portfolio of Financial Services accounts with an emphasis on Insurance, creating and executing long-term growth plans in partnership with phData’s Go-to-Market, Delivery, and Partner teams.
• Own Revenue & Profitability: Deliver $5–15M+ in annual bookings through both net-new and expansion work, ensuring profitable, scalable growth across your accounts.
• Build Executive Relationships: Cultivate trusted advisor status with CxOs and senior business leaders; lead strategic discussions across business and IT stakeholders.
• Champion Client Outcomes: Maintain ~40% utilization, staying close to the delivery of programs to ensure high-impact results and exceptional client satisfaction.
• Elevate Our Brand: Represent phData at industry events, conferences, and panels, helping grow our presence and reputation within your vertical.
• Leverage Ecosystem Partners: Activate and grow partnerships (e.g., Snowflake, AWS) to bring added value to clients and accelerate growth.
• Lead Cross-Functional Teams: Collaborate across Go-to-Market, Delivery, Finance, and Product teams to align on account health, project success, and future opportunity.

Client Account Lead – Financial Services, Insurance

Artificial Intelligence

• Develop and refine AI and Data strategies that align with business goals and objectives.
• Identify and prioritize high-impact use cases for AI, Machine Learning, and advanced analytics across various business domains.
• Facilitate discovery sessions and workshops with client stakeholders to define strategic roadmaps and secure cross-functional alignment on objectives and business value.
• Contribute to the design of implementation roadmaps, helping to sequence long-term plans that balance technical, organizational, and process changes.
• Develop business cases that articulate the return on investment (ROI) for AI and data initiatives.
• Analyze clients' current AI and data capabilities and operating models, evaluating them against industry best practices and providing strategic recommendations.
• Communicate complex technical concepts clearly and concisely to diverse audiences, from technical teams to senior non-technical stakeholders.
• Prepare “art of the possible” sessions based on industry trends for customer organizations, and where they can play to drive organizational growth.
• Support the expansion of the Advisory practice by developing content, participating in thought leadership, and contributing to the creation of repeatable strategic frameworks and offerings.
• Guide on the responsible and ethical use of AI, including considerations for governance, bias, and compliance with regulations like GDPR or CCPA.

Senior Consultant – Data and AI Strategy

Consultant

• Deliver on project-based consulting engagements; help clients develop analytical requirements through prototyping and visualization.
• Manage clients expectations by leading weekly status reports to clients; proactively solicit client feedback by running working sessions
• Create reporting and data visualization solutions
• Analyze, troubleshoot and / or tune product performance or deployment issues when required
• Support or assist with backlog support and development
• Identify and recommend functionality and solutions to meet and enhance user requirements
• Recommend best practices to optimize data models, reports, and overall platform architecture

Senior Analytics Consultant, Power BI

• Facilitate data governance working groups to drive alignment between business and technology stakeholders.
• Execute metadata management activities such as cataloging, lineage capture, and stewardship workflows.
• Partner with business teams to draft and maintain business rules, definitions, and data quality controls.
• Apply data quality processes such as profiling, monitoring, and issue management, ensuring rules are practical and adopted.
• Support the installation, configuration, rollout and adoption of governance/metadata tools (e.g., Collibra, Alation, Atlan, Purview).
• Coach client staff on data stewardship practices—showing them how to govern their data effectively and sustainably.
• Communicate governance concepts in clear business language; prepare presentations, training materials, and adoption guides.
• Provide input on access controls, privacy, and compliance with regulations (GDPR, CCPA, etc.)
• Collaborate with data engineers, analysts, and business owners to embed governance into daily workflows, platform pipelines, modeling practices, and observability.
• Install and configure metadata/catalog tools in client environments.
• Build and curate catalogs, including ingestion of technical metadata, business glossaries, and lineage.
• Define user personas and design role-appropriate experiences (data stewards, data owners, analysts, engineers).
• Tailor tool UX (workflows, dashboards, search optimization) to improve usability and adoption.
• Configure governance workflows (e.g., DG asset approvals, stewardship assignments, issue tracking).
• Leverage and guide customers on AI-assisted features in modern tools (auto-classification, definition drafting, similarity matching, lineage discovery) to accelerate execution and adoption.
• Partner with client IT teams to ensure tools are integrated into enterprise platforms and security models.

Senior Consultant, Data Governance

Recruitment

• Operate as a trusted strategic advisor to senior business leaders (Director-level and above), owning and delivering critical and complex requisitions.
• Navigate business dynamics, anticipate talent risks, and influence hiring strategies aligning with business priorities.
• Participate in design and implementation of best-in-class hiring practices, focusing on executive and niche technical roles.
• Champion phData’s external employer brand within client groups to enhance visibility and engagement.
• Attract top external Talent Acquisition professionals and build relationships with high-caliber candidates.
• Mentor and advise Talent Acquisition team members, providing coaching, development, and feedback.
• Provide input on team composition, hiring decisions, promotions, and performance management.
• Consult with GTA leadership, offering market insights and strategic direction across TA functions.
• Lead or contribute to enterprise-level initiatives or strategic projects.
• Build and maintain deep relationships across phData, including People Operations Partners and business leaders.
• Monitor talent market trends, competitor activity, and best practices, sharing actionable market intelligence.
• Represent phData’s values, culture, and mission internally and externally.

Principal Talent Acquisition Partner

Data Engineer

• Design and deploy scalable SageMaker domains and implement VPC, IAM, encryption, and compliance best practices (SOC2, HIPAA)
• Integrate SSO and AWS Identity Center; manage RBAC, multi-account permissions, and access policies for SageMaker and DataZone
• Enable CloudWatch logging, compliance monitoring, audit trails, and automate multi-domain SageMaker deployments using Terraform or alternatives
• Lead data migration from Lake Formation to DataZone; align architecture to a federated data mesh and enforce governance workflows for cross-domain sharing
• Conduct load testing, define service limits, and implement cost and performance optimization strategies for SageMaker Unified and DataZone
• Serve as executive-level technical leader and primary advisor for strategic customer accounts; act as CTO for accounts, guiding technology decisions and roadmaps
• Build deep relationships with technical and business stakeholders; lead QBRs, Innovation Days, roadmap and architectural vision sessions
• Collaborate with Account Executives on growth strategies; identify opportunities, lead scoping, pricing, and proposal development to expand services
• Own delivery success and overall satisfaction across assigned accounts; provide architectural oversight, escalation management, and ensure delivery quality
• Mentor technical consultants and engineers; build technical documentation, enablement materials, and share scalable delivery patterns
• Lead client resource planning, forecasting, KPI tracking, and collaborate with partner technology teams and internal leadership

Senior Director, Data Engineering – AWS

People Operations

• Serve as the point person for Departments, advising managers on HR best practices, employee and performance management, employee engagement and change initiatives
• Partner with business leaders to align our people strategies with business objectives
• Act as a trusted advisor to managers and employees, providing guidance and support on employee relations matters, conflict resolution performance management, and employee development
• Handle complex employee relations situations and investigations, driving fair and consistent outcomes
• Build trusted partnerships across People Ops, IT, Finance, Talent Acquisition and other cross-functional areas to enable managers and teams
• Develop and implement people strategies that support business goals, foster employee engagement, and drive retention
• Oversee all phases of the performance management cycle, from goal setting, feedback, career pathing, and performance
• Help develop, coach and enhance the effectiveness of our people managers
• Lead manager training efforts and personally guide managers through complex people matters
• Champion People Ops projects and new program rollouts
• Act as a bridge between employees, managers, and leadership, ensuring clarity of communication around programs and changes
• Maintain confidentiality and handle sensitive information with discretion and professionalism

Senior People Ops Business Partner, HR

• Support the development and refinement of strategic roadmaps for client data platforms and products
• Identify opportunities for innovation within client data ecosystems
• Align data platform strategies with clients’ business objectives
• Guide cross-functional initiatives to accelerate data maturity and data-driven decision making for our clients
• Collaborate with clients to understand and prioritize their data needs
• Transform business requirements into technical specifications for data platform solutions
• Create data solutions that deliver measurable value and ROI for clients and their customers
• Implement feedback systems to continuously improve client data platforms and products
• Cultivate trusted advisor relationships with key client stakeholders and leaders
• Communicate complex technical concepts clearly to diverse audiences
• Guide and influence cross-functional teams
• Present data platform and product strategies and results
• Apply agile methodologies for data platform and product development
• Establish and operationalize Business, Customer, Product and Team KPIs and success metrics
• Coordinate resources, timelines, and deliverables both with the client and internally
• Work closely with clients to understand their business objectives, challenges, and requirements, and help translate these into a clear project vision
• Support clients in developing, refining, and tracking KPIs (Key Performance Indicators) to ensure alignment with strategic goals
• Build strong relationships and serve as the primary point of contact throughout the project lifecycle, consistently ensuring project outcomes align with client success metrics
• Lead the design and conceptualization of innovative solutions that address client needs. Collaborate with cross-functional teams including business analysts, developers, and project managers to create comprehensive solution plans. Drive a data-driven product based approach to data investments (platform, product, application, services)
• Oversee the implementation of solutions, ensuring projects are delivered on time, within scope, and within budget. Provide direction and guidance to project teams, ensuring alignment with client expectations and industry best practices
• Engage with key stakeholders to communicate project status, risks, and deliverables. Facilitate workshops and meetings to gather input and provide updates
• Ensure the quality and integrity of solutions by performing thorough testing, validation, and feedback collection. Implement improvements based on client feedback and evolving requirements
• Support the business development team in identifying new opportunities and contributing to proposal development. Participate in client pitches and presentations to showcase our capabilities and solutions
• Stay abreast of industry trends, emerging technologies, and best practices. Share knowledge and insights with the team to foster continuous improvement and innovation

Principal Solution Owner – Data Platforms and AI

• Drive delivery excellence, grow business, and ensure customer success as a leader within the Advisory organization.
• Engage with Senior Executives and pre-sales to scope, shape, and sell AI Strategy aligned to organizational business goals.
• Ask “why” and back recommendations with lived experience to ensure effective, measurable AI approaches.
• Drive and support AI Strategy execution and provide delivery oversight to AI platform and capability implementation.
• Build the practice by developing intellectual property (frameworks, approaches, accelerators) related to AI Strategy development and execution.
• Manage multiple work streams, build executive relationships, and guide clients through complex AI challenges.
• Stay ahead of market trends to inform development of go-to-market capabilities.
• Provide delivery oversight, guide technical and organizational recommendations, and support change management.
• Facilitate discovery sessions, workshops, and “art of the possible” sessions to align stakeholders and inspire outcomes.
• Collaborate with client stakeholders, technology partners, and cross-functional sales and delivery teams across distributed global teams.

Lead AI Strategist

Growth Marketing

• Exceed quarterly/annual sales targets in all practice areas (Data Engineering, Managed Services, Machine Learning, and Analytics)
• Co-Sell with Snowflake, AWS, and other ecosystem partners to sell transformative data and AI engineering services and solutions into enterprise companies
• Drive and execute lead generation activities (i.e. cold calls, email, social, regional events, etc.) to grow market share and awareness within your region
• Partner with team members (Managing Directors, Solutions Engineering, Marketing, etc.) to scope and present solutions to prospects and clients
• Take accountability for the phData brand in your territory and accounts, including all sales, delivery and overall customer success for accounts with your region
• Navigate complex organizational structures to identify key stakeholders, champions and budget owners across various lines of business within an account
• Accurately forecast, update deals, and manage sales pipeline
• Complete and embrace training for continuous improvement and new company initiatives

Territory Director

• Design and implement end-to-end cloud data solutions and pipelines for enterprise customers
• Develop production-ready solutions ensuring performance, security, scalability, and robust data integration
• Lead and mentor engineering teams and provide technical leadership
• Serve as client-facing technical lead: create and deliver detailed presentations and communicate with stakeholders
• Produce detailed solution documentation including POCs, roadmaps, sequence diagrams, class hierarchies, and logical system views
• Collaborate with cloud and data platform teams using Snowflake, Spark, AWS, Azure, Databricks, and GCP
• Support full software development lifecycle: design, implementation, testing, deployment

Solutions Architect

• Source active and passive candidates through a variety of channels, building strong pipelines of talent.
• Aggressively source and build pipelines of high-quality passive and active candidates using innovative and diverse strategies—Boolean search, talent mapping, networking, referrals, and social media outreach.
• Screen candidates to assess qualifications and guide them smoothly through the interview process.
• Proactively communicate with candidates throughout the process, ensuring clarity, transparency, and a positive reflection of the phData brand.
• Partner closely with hiring managers to understand their needs, design effective recruiting strategies, and consult on best practices.
• Lead the offer stage, including extending offers and negotiating compensation.
• Coordinate interview logistics and scheduling with efficiency, ensuring readiness of both candidates and panelists.
• Collaborate across multiple teams—data analytics, engineering, managed services, program management, and more—ensuring we bring the best talent into every corner of the business.

Senior Recruiter

Sales Operations Manager

• Manage and scale phData's Sales Operations function within Revenue Operations, partnering with Sales Leadership.
• Support territory planning, quota setting, target modeling, and quota maintenance in Salesforce.
• Lead pipeline forecasting cadence, monitor pipeline quality, and track KPIs with leadership.
• Design, implement, and operationalize standardized sales processes and maintain documentation.
• Oversee sales data quality and CRM hygiene, including data imports and attribution.
• Develop and maintain onboarding and training materials; lead seller onboarding and training.
• Collaborate on sales systems implementation, manage CRM enhancements, UAT, and license management.
• Identify and pilot AI and automation use cases to improve efficiency and reduce errors.

Sales Operations Leader

Principal Solution Architect – Managed Services

Architect

• The Principal, Data and AI Strategy advises clients on data and AI to drive business transformation and competitive advantage; creates data and AI strategies aligned to client goals, designs implementation roadmaps, and guides adoption of advanced data platforms, ML solutions, and responsible AI practices.
• Requires strong executive presence, deep cloud ecosystem knowledge, modern data architectures, and ability to lead cross-functional teams.
• Helps build Advisory practice by developing offerings, cultivating client relationships, and mentoring high-performing teams.

AI and Data Strategy Architect

• 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, 2021, 2022, 2023, 2024, 2025)
• Fivetran, dbt, Atlation, Matillion Partner of the Year
• #1 Partner in Snowflake Advanced Certifications
• 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, etc)
• Recognized as an award-winning workplace in US, India and LATAM
• phData celebrates diversity and is committed to creating an inclusive environment for all employees. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.