Acxiom

Data Engineer

• Assist in building and maintaining batch and streaming data pipelines using tools such as Spark, Databricks, Snowflake, and cloud-native services.
• Support the development of ETL/ELT workflows using orchestration tools like Apache Airflow, dbt, or managed cloud schedulers.
• Help ingest structured and semi-structured data from sources such as S3, ADLS, GCS, APIs, or Kafka into raw and curated data layers.
• Write and maintain SQL and Python-based transformations for cleaning, joining, and aggregating datasets.
• Participate in implementing data quality checks, validation rules, and basic monitoring to ensure data accuracy and reliability.
• Collaborate with data engineers, analysts, and data scientists to understand how datasets are consumed by analytics models and AI agents.
• Assist in preparing datasets and feature tables that can be used by AI/ML pipelines or autonomous agents for decision-making and automation.
• Explore how AI agents can interact with data platforms (e.g., querying data, triggering pipelines, summarizing results) under guidance from senior team members.
• Contribute to documentation of data flows, schemas, and pipeline logic to support team knowledge sharing.
• Learn and follow data modeling, governance, and privacy best practices, especially in regulated or privacy-conscious environments.
• Support version control and deployment processes using Git and basic CI/CD workflows.

Intern, Data Engineer

Project Manager

• Assist with implementation of sizable projects and bring high quality to product and solution development projects
• Daily/weekly housekeeping activities or follows up with the PMs
• Check for overallocation in Workday
• Workday project attributes updates such as hours, end dates, stage and other updates
• OKR updates
• Program dashboard metrics report updates and follow-ups
• New project set up and groundwork activities
• Provides various support for the PM Summit initiatives
• Participate in project meetings and follow up on action items

Intern – Project Manager

Software Engineer

• Build and maintain CI/CD pipelines
• Implement Infrastructure as Code (Terraform preferred)
• Support Kubernetes and container orchestration
• Collaborate with Cloud Solutions and Data Engineering teams
• Participate in production support and incident response
• Contribute to monitoring and observability improvements

Intern – Development Engineering

Product Operations

• Define and maintain content and operational standards for modeled data, including product hierarchies, taxonomies, metadata, and schema conventions
• Intake, interpret, and operationalize delivery platform requirements, translating schemas, metadata expectations, SLAs, and cadence into execution standards
• Prepare and align modeled data assets to be platform‑ready, ensuring metadata, schemas, and taxonomies integrate seamlessly across downstream delivery environments
• Establish and evolve product operations frameworks that enable consistent delivery, dependency management, and cross‑team alignment across multiple Agile teams
• Proactively identify and manage delivery risks, constraints, and cross‑platform dependencies, driving operational readiness for launches, changes, and deprecations
• Own production readiness, service reliability, and operational health, including incident learnings, post‑launch reviews, and external partner change coordination
• Define and track operational KPIs (availability, quality, adoption, cost efficiency) and lead continuous improvement initiatives to improve scale, reliability, and efficiency.

Principal Product Manager – Product Operations, Modeled Data

Digital Marketing

• Responsible for end-to-end orchestration of marketing campaigns across email, digital, and direct mail channels
• Planning, executing, and optimizing campaigns across various platforms
• Liaising with clients and internal teams for seamless communication
• Working with external partners for execution and timely delivery of campaign components
• Establishing campaign plans, assigning ownership, and coordinating tasks
• Conducting quality control and resolving timing, quality, and performance issues

Senior Digital Campaign Manager

Client Partner

• Support day-to-day management of agency relationships, ensuring strong communication and alignment on deliverables
• Partner with Agency leads to maintain high levels of client satisfaction and responsiveness
• Assist in onboarding new agency partners and supporting ongoing engagement needs
• Act as a liaison between agency teams and internal stakeholders to ensure smooth execution
• Manage and track incoming audience requests, including new builds and model rebuilds
• Maintain internal trackers to ensure visibility into request status, timelines, and delivery
• Help facilitate internal meetings, track action items, and ensure follow-ups are completed
• Perform quality checks on audience delivery and syndication to ensure accuracy
• Support revenue tracking and reporting processes using internal tools

Partner Development Manager

Full-stack Engineer

• Design, implement, and maintain high-quality software solutions using Java and SQL.
• Develop and optimize Snowflake native applications, data pipelines, schemas, and integrations.
• Build and maintain cloud-based solutions on AWS, following best practices for scalability, security, and cost management.
• Take ownership of development tasks, deliverables, and project initiatives end-to-end.
• Collaborate with cross-functional teams to ensure software meets business requirements and quality standards.
• Maintain secure coding practices and ensure compliance with data governance and privacy standards.
• Adapt quickly between multiple projects and initiatives, providing expert guidance where needed.
• Participate in code reviews, architectural discussions, and technical decision-making.

Systems Engineer

• Acts as the primary liaison between clients and internal teams to translate business needs into clear, actionable requirements across the delivery lifecycle.
• Leads business analysis efforts, champions stakeholder needs, and ensures solutions align with client objectives and Acxiom capabilities.
• Utilizes expertise to lead project teams to select the approach that best fit requirement initiative needs.
• Able to determine how and when to modify a selected approach as necessary.
• Effectively manages internal and external stakeholder relationships and expectations.
• Recognizes opportunities beyond the underlying business needs and issues, consulting the stakeholders in exploring these areas of opportunities.
• Establishes metrics and measurements to track, assess, and report on the quality of business analysis work.
• Conceptualize a recommended solution, enabling stakeholders to understand the new capabilities, boundaries, dependencies, constraints, and assumptions from a business perspective.
• Collaborates with the Solution Architect to validate solution meets the client’s technical needs.

Business Systems Analyst

Solutions Engineer

• Serve as the solution architecture lead across the full platform lifecycle: discovery, design, and implementation
• Partner with strategy leads to translate business goals into technical architectures and executable roadmaps
• Lead client working sessions to define requirements around campaign workflows and operational dependencies, customer data models, metadata structures, and identity-aware audience frameworks
• Ensure alignment between business use cases and technical feasibility, offering pragmatic alternatives when needed
• Design and own end-to-end marketing data architecture, including: Data ingestion (Bronze), transformation (Silver), and consumption layers (Gold)
• Define: Data grain, conformance logic, and key joins, KPI logic and aggregation strategies
• Design customer data models that support identity stitching, audience persistence, and cross-channel activation
• Ensure data models are traceable, repeatable, and production-ready
• Define solution blueprints across modern marketing ecosystems, including: Cloud data platforms (Snowflake, Databricks, BigQuery, Redshift), Clean rooms and CAPI integrations
• Lead architecture through build and deployment phases, ensuring that designs translate into production-ready solutions

Principal Solution Architect

Consultant

• Leads client discussions, discovery sessions, and market signals to identify core business needs, then translates those needs into solution prototypes and architectures that Acxiom and Omnicom can sell and deliver at scale.
• Evaluates new solution opportunities to determine whether they represent net-new builds, configurations of existing solutions, or enhancements to current offerings with the goal of minimizing duplication.
• Takes new solutions from concept commercial readiness by packaging Acxiom's identity, data, and enrichment capabilities into defined offerings with clear scope, delivery methodology, and pricing.
• Drives solution with clients as the expert and builds delivery playbooks, enablement assets, and composable templates so the broader organization can deliver consistently.
• Shapes how Acxiom's solution portfolio is defined, categorized, and communicated.
• Establishes shared language across sales, product, and delivery so that what the organization builds lines up with what the market buys.
• Works across Product, Delivery, Services, and Platform Integrations teams to confirm that solution designs are technically and commercially feasible, operationally deliverable, and viable before they go to market.
• Defines clear swim lanes when solutions cross organizational boundaries, particularly with Omnicom agencies.
• Acts as the architecture authority for solutions that have been handed over to delivery teams.

Principal Solution Consultant

Director

• Own the Growth Strategy: Build and convert a high-value pipeline of enterprise leads & opportunities with a focus on digital transformation, customer intelligence, and data-first marketing.
• Think Like a Consultant, Act Like a Closer: Use a consultative, insight-led approach to engage C-suite and senior decision-makers, uncover business challenges, and co-create future-forward solutions.
• Connect the Dots: Lead cross-functional teams (strategy, product, data science, and delivery) to craft compelling, integrated solutions that blend data, martech, and AI innovation.
• Drive the Deal: Orchestrate the end-to-end sales cycle including deal structuring, proposal development, pricing, and negotiations with a focus on short-term growth and long-term impact.
• Be a Voice of Innovation: Stay ahead of trends in customer experience, personalization, marketing and advertising tech.

Director, Enterprise Solutions

• Own the Growth Strategy: Build and convert a high-value pipeline of enterprise leads & opportunities focusing on digital transformation, customer intelligence, and data-first marketing.
• Think Like a Consultant, Act Like a Closer: Use a consultative, insight-led approach to engage C-suite and senior decision-makers, uncover business challenges, and co-create future-forward solutions.
• Connect the Dots: Lead cross-functional teams (strategy, product, data science, and delivery) to craft compelling, integrated solutions that blend data, martech, and AI innovation.
• Drive the Deal: Orchestrate the end-to-end sales cycle including deal structuring, proposal development, pricing, and negotiations with a focus on short-term growth and long-term impact.
• Be a Voice of Innovation: Stay ahead of trends in customer experience, personalization, marketing, and advertising tech.

Analyst

• Design, setup, monitor, and validate data product workflows leveraging standard processes and procedures for client accounts.
• Ensure workflows and quality audits meet client requirements, service level agreements and security policies.
• Identify, document, and make necessary workflow changes to meet client requirements.
• Manage multiple projects at a time by analyzing priorities, metrics, and deliverables.
• Coordinate and manage source file receipt with clients, vendors, and/or internal stakeholders.
• Validate source and output data, data formatting specifications, and output requirements according to specifications to ensure zero defects.
• Deliver accurate output information to clients and/or their vendors through the appropriate data processing platforms and utilizing transfer mechanisms.
• Research, troubleshoot, and lead the resolution of data or processing issues according to product, client and/or third-party vendor specifications.

Senior Delivery Analyst

Product Manager

• Lead the strategic roadmap and capability expansion of the DTC (Direct-to-Consumer) and HCP (Healthcare Provider) outreach and Market Access platform.
• Drive the launch of new ML/AI-driven audience and activation products, ensuring compliance with HIPAA, NAI and privacy-by-design principles.
• Partner with engineering and architecture teams to scale infrastructure and manage performance at national data volumes.
• Enable standardized product processes, training, and documentation to drive internal adoption and operational consistency.
• Collaborate with data science, analytics, and platform engineering to operationalize predictive audience models and measurement frameworks.

Principal Product Manager, ML/AI, Privacy, Health, AdTech

• Solution Design & Architecture: Uncover technical and business requirements through client engagement
• Enablement & Deal Acceleration: Support pre-sales and influence deal strategy with sales teams.
• Solution Innovation: Pilot and co-develop solutions for emerging needs.
• Value Articulation: Translate features into clear business benefits.

Intern, Data Engineer

Intern – Project Manager

Intern – Development Engineering

Principal Product Manager – Product Operations, Modeled Data

Senior Digital Campaign Manager

Partner Development Manager

Software Engineer

Business Systems Analyst

Principal Solution Architect

Principal Solution Consultant

Director, Enterprise Solutions

Director, Enterprise Solutions

Senior Delivery Analyst

Principal Product Manager, ML/AI, Privacy, Health, AdTech

Principal Solution Engineer