OneMagnify

AI Engineer

• As a technical developer our AI team, work with strategic clients to help them utilize their data to take action
• Stay up-to-date on the latest AI tools and features
• Provide Technical solutioning for our generative AI projects
• Participate in code reviews and solutioning sessions with our data scientists, AI engineers, software engineers, and other technical resources
• Lead cross-functional projects and enable collaboration across artificial intelligence and OneMagnify

Vice President

• Own and evolve the integrated delivery operating model
• Set the decision rights, accountability frameworks, and quality bar
• Lead the Central Delivery Organization
• Set the direction and performance bar for OneMagnify's central delivery organization
• Own Delivery Economics and Commercial Intelligence
• Ensure Client Value Is Delivered
• Set the AI-Enabled Delivery Direction
• Own Global Delivery Operating Model and Scale Levers
• Partner Across the Business and with Clients
• Uphold Quality, Risk, and Value Integrity

SVP, Integrated Delivery

Artificial Intelligence

• Collaborate with strategic clients to identify where AI and data can drive meaningful action — not just generate insights
• Translate client business challenges into technical approaches that are both rigorous and achievable
• Serve as a trusted advisor who can simplify complex AI concepts for non-technical stakeholders
• Provide hands-on technical direction for generative AI projects, including architecture decisions and solution design
• Apply expertise in LLMs, data science, and object-oriented programming to guide delivery from prototype to production
• Leverage tools like Databricks, Python, R, and SQL across the project lifecycle — including building and managing data pipelines, feature engineering, and model deployment within the Databricks ecosystem
• Lead and develop a cross-functional team of data scientists, AI engineers, and software engineers
• Set clear expectations, support career growth, and build a team culture oriented around craft and client outcomes
• Model the technical and communication standards you expect from the team
• Drive alignment across AI, analytics, strategy, and engineering disciplines within OneMagnify
• Partner with delivery and operations teams to ensure AI workstreams integrate cleanly into broader project execution
• Represent the AI practice in client-facing settings alongside strategy and creative counterparts
• Stay current on the evolving AI landscape — new models, platforms, tools, and use cases — and bring relevant developments into client conversations and internal delivery
• Contribute to OneMagnify's point of view on AI-enabled solutions and how the practice continues to grow

Manager, Artificial Intelligence

Solutions Engineer

• Lead the optimization of cross-cloud Salesforce implementations (Data Cloud, Experience Cloud, Marketing Cloud, Sales Cloud, Service Cloud, custom platforms) to improve Consumer Marketing performance, scalability, and maintainability.
• Evaluate existing architectures to identify technical debt, performance bottlenecks, and opportunities for consolidation or modernization.
• Design extensible, future‑ready solutions that support enterprise growth, high data volumes, and complex business processes.
• Architect and optimize integrations between Salesforce and enterprise data platforms (data lakes, data warehouses, MDM systems, ERP, and external services).
• Optimize system performance through refined data models, indexing strategies, asynchronous processing, and optimized automation.
• Design for high availability, fault tolerance, and secure access across enterprise environments.
• Partner with business leaders, product owners, and delivery teams to translate business needs into optimized technical solutions.
• Provide architectural guidance and decision frameworks that balance speed, cost, risk, and long‑term value.
• Influence enterprise standards, best practices, and architectural roadmaps.
• Ensure solutions adhere to enterprise security, compliance, and regulatory requirements.
• Implement role‑based access controls, data protection strategies, and audit‑ready architectures within Salesforce and connected systems.
• Drive continuous optimization through monitoring, analytics, and performance tuning.
• Evaluate and adopt emerging Salesforce features and data technologies to improve solution efficiency and reduce total cost of ownership.
• Collaborate with delivery teams on scalable design patterns and optimization best practices.

Solution Architect

Administration

• Deliver Reliable Client Program Support
• Serve as a primary point of contact for Dealers, Independent Repair Facilities, and customers via phone and email, aligned to defined SLAs and client expectations
• Provide clear guidance on program rules, eligibility, and technical website issues tied to active automotive programs
• Maintain consistent follow-through on inquiries so issues are resolved, not just acknowledged
• Conduct semi-scripted outbound mystery shop calls to dealers and independent repair facilities
• Observe and assess customer service interactions against program guidelines
• Capture findings accurately to support quality and program improvement efforts
• Work across multiple systems simultaneously, including client-owned platforms and OneMagnify tools
• Use Salesforce Service Cloud to manage contact records, cases, and follow-ups
• Apply solution-focused thinking to identify root causes and escalate issues appropriately
• Facilitate dealer and customer rewards programs, including processing financial payouts as defined by client programs
• Ensure data accuracy and compliance when handling sensitive personally identifiable information (SPII)
• Partner with operations and delivery teams to keep programs running smoothly end to end
• Communicate regularly with OneMagnify teammates through Microsoft Teams, email, phone, and on-camera meetings
• Share patterns, issues, and feedback that help improve program execution and customer experience
• Operate within OneMagnify’s quality standards and documented work practices

Program Administrator

• Define and execute Emodo's global publisher development strategy across web, app, and CTV
• Build, manage, and develop a high-performing publisher development team across regions
• Set coverage models, quota frameworks, and performance standards for the function
• Represent publisher development at the executive level, including board-facing reporting on supply growth
• Personally lead pursuit and closure of strategic publisher relationships at the enterprise tier
• Build C-level and VP-level relationships at premium publishers, networks, and aggregators
• Negotiate complex, multi-market agreements including rates, payment terms, and platform integration requirements
• Drive contract execution from term sheet through legal sign-off with speed and precision
• Partner with Publisher Operations to design onboarding processes that compress time-to-revenue for new partners
• Hold accountability for publisher revenue contribution, not just signed agreements
• Serve as senior escalation point for business-critical issues across the publisher portfolio
• Work directly with Product and Engineering to translate supply-side market needs into platform priorities
• Collaborate with the Demand and Ad Operations teams to align supply quality with advertiser outcomes
• Contribute to go-to-market strategy, pricing, and packaging decisions as a member of the senior leadership team
• Track and synthesize supply-side trends, competitive dynamics, and publisher market shifts
• Bring structured intelligence into executive and board-level conversations with actionable implications
• Represent Emodo at industry events, publisher summits, and trade conferences

VP, Publisher Development

Data Analyst

• Leverage data tools and capabilities to deliver superior service to client's customers and to advance the Data & Analytics Road Map
• Conduct discovery and end-to-end data analysis to understand customer needs and to help develop plans and activities to improve data quality
• Elicit, analyze, interpret business and data requirements to develop complete data product solutions, includes review data models (entity relationship diagrams, dimensional data models), ETL and business rules, data management, governance, lineage, metadata and reporting elements
• Manipulate large data sets using SQL to understand patterns in the data
• Perform data profiling using various tools to learn the shape of the data to help inform data quality checks and/or curation rules that need to be developed
• Support customers in interpreting data and remediating issues when required
• Engage with data owners, stewards to implement, maintain, enhance data governance, quality, security and privacy requirements, and related policies and standards
• Prepare technical specifications for data ingestion and transformation rules
• Partner with data architects to build data models for efficient consumption of data
• Support the development of standards and best practices within the Data Analysis team, this includes documentation templates and agile development methodologies