Consultant / Agentic Marketing Execution and Workflow Tool Development

Acxiom Open · verified Sep 10, 2026

New York Full-time Mid-level General Marketing

Mid-level General Marketing role at Acxiom. New York · full-time · no salary stated · we estimate $80,000–$140,000.

Estimated pay

Acxiom has not published a salary for this role. The figure below is our estimate, not theirs.

$80,000 – $140,000

What the middle half of mid-level general marketing roles in New York paid, among postings that did state a salary.

Worked out from 99 postings that stated pay, median $110,000. Last updated Sep 10, 2026.

Role brief

Growth Roles summary, based on the employer's posting.

What you'll do

Coordinate complete requirement packages so technology teams can build from clear, traceable inputs
Turn marketing operations needs into user stories, acceptance criteria, and developer-ready specifications
Support backlog grooming, sprint planning, release planning, and checks that delivered work meets requirements
Create UAT scenarios, run sessions with business users, and manage defects through resolution
Help move existing marketing workflows into the new platform and support training, documentation, and adoption

What you bring

Six to nine years in business analysis, product analysis, or a related role within financial services or another complex regulated industry
Experience with marketing operations or campaign management, including intake processes, execution workflows, and MarTech platforms such as Aprimo
A record of delivering workflow or digital product implementations and writing Agile requirements, user stories, and acceptance criteria
Working knowledge of integrations, APIs, data flows, AI system behavior, Jira, UAT, and defect tracking
A bachelor's degree, with a master's degree or relevant Agile, BA, AI, or data science credentials as added value

Who this fits

You’ll suit work that combines careful analysis with independent execution, stakeholder diplomacy, and curiosity about AI, automation, and products still being defined. The role calls for comfort with ambiguity, close collaboration across Marketing, Technology, Risk, Legal, and Finance, and communication with both engineers and senior business partners. It is a full-time position with a primary location in New York, New York; remote applications may be considered for some listed locations.

From the employer

This role sits within the Marketing Operations team and is a key enabler of a significant product transformation initiative. The Business Analyst will work directly in support of the Product Owner to drive the delivery of an agentic, conversational AI-powered tool designed to modernize and streamline marketing campaign intake, requirements creation, and campaign execution workflows.
The successful candidate will serve as the connective tissue between business stakeholders and technology teams — translating marketing operational needs into precise, actionable requirements that fuel sprint-by-sprint delivery. This is a high-engagement role requiring someone who is equal parts rigorous analyst, collaborative partner, and detail-obsessed executor.
This role is ideal for a professional who thrives in ambiguity, brings genuine intellectual curiosity about emerging AI capabilities, and is motivated by the opportunity to help shape how marketing campaigns are conceived, scoped, and brought to life through cutting-edge technology. Because this product is novel in concept and execution, the ideal candidate brings not just analytical discipline but also the creative and adaptive thinking needed to define problems and solutions that don't yet have established playbooks.

Development Opportunities
● First-hand experience building and launching an enterprise-grade AI/agentic product from the ground up
● Deep cross-functional exposure spanning Marketing Operations, Technology, Risk, Legal, and Finance
● Opportunity to develop expertise at the intersection of MarTech, workflow automation, and conversational AI
● Visibility to senior leadership across marketing businesses and functions
● Long-term career paths across technology product and marketing operations domains

Key Responsibilities

Requirements & User Story Development

Own the end-to-end coordination of all requirement packages to be handed off to Technology, ensuring completeness, clarity, and traceability
Draft detailed technical requirements, well-structured user stories, and robust acceptance criteria for assigned workstreams
Translate complex business and marketing operational needs into unambiguous, developer-ready specifications
Proactively question and pressure-test requirements with stakeholders to surface gaps, edge cases, and unstated assumptions

Agile Delivery Support

Attend and actively contribute to all grooming sessions, ensuring backlog items are refined, estimated, and sprint-ready
Support sprint planning and release planning activities in close partnership with the Product Owner and Scrum Master
Review and sign off on sprint deliverables, validating that implemented features meet defined acceptance criteria
Track and communicate sprint readiness status and flag risks or blockers to the Product Owner in a timely manner

UAT & Quality Assurance

Draft comprehensive UAT scripts and test scenarios that reflect real-world user journeys and edge cases
Coordinate and facilitate UAT and usability testing sessions with business users and key stakeholders
Document, triage, and manage defect logs; work with Technology to drive resolution prior to release

Tool Migration & Change Management Support

Support the migration of existing marketing programs and workflows into the new agentic tool platform, ensuring continuity and accuracy of business processes
Contribute to the development of change management materials, training documentation, and user guides to enable smooth adoption
Assist in coordinating training sessions and communications for impacted business users

Stakeholder Engagement & Collaboration

Partner closely with marketing operations, technology teams, and cross-functional stakeholders to gather, validate, and refine business requirements
Facilitate working sessions and workshops to drive alignment on scope, priorities, and solutions
Maintain clear, structured documentation of decisions, open items, and action registers

Qualifications

Experience

6–9 years of experience in a Business Analyst, Product Analyst, or related role within financial services or a comparably complex regulated industry
Demonstrated experience in marketing operations or marketing campaign management environments, with a working understanding of campaign intake, execution workflows, and MarTech tools (e.g., Aprimo or comparable platforms)
Experience working on workflow tool implementations or digital product builds, preferably involving process digitization or automation
Proven track record of writing high-quality user stories, acceptance criteria, and functional requirements in an Agile/Scrum delivery model
Experience contributing to the build or launch of AI-powered, agentic, or conversational tools is highly desirable — including defining how AI interactions should behave, drafting prompt-adjacent logic flows, or writing requirements for ML/NLP-driven features
Experience working in environments where the product or process did not yet exist — where the candidate helped define the "what" and "how" from scratch rather than incrementally improving an established system

Technical & Functional Skills

Functional technical literacy sufficient to engage meaningfully with engineering teams; ability to understand system integrations, APIs, data flows, and AI/LLM-driven system behaviors at a conceptual level — or demonstrated ability to rapidly acquire such knowledge
Proficiency in Agile tools such as Jira for backlog management and sprint tracking
Strong capability in requirements documentation tools and productivity suite (Excel, PowerPoint, SharePoint, Visio, Confluence or equivalent)
Experience with UAT planning and execution, including writing test scripts and managing defect tracking
Familiarity with workflow automation platforms or enterprise SaaS tools is a plus; hands-on experience with AI-powered, conversational, or agentic tools — either as a builder, analyst, or power user — is a strong differentiator
Comfort engaging with concepts such as prompt design, conversation flows, agent behaviors, and AI output validation even without a deep engineering background

Core Competencies

Critical thinking & analytical rigor: Ability to dissect ambiguous business problems and translate them into structured, precise requirements; comfortable challenging assumptions and asking the difficult questions to extract better information
Meticulous attention to detail: Maintains high engagement and work quality throughout repetitive, process-intensive tasks without sacrificing thoroughness
Independent working style: Able to take direction from the Product Owner and execute with limited hand-holding; self-manages workload and proactively identifies what needs to be done
First-principles thinking: Demonstrates the ability to step back from conventional approaches and reason from the ground up — particularly valuable when building products where no direct precedent exists; not constrained by "how things have always been done"
Intellectual curiosity & AI aptitude: Genuinely excited by the possibilities of AI and automation; stays informed on emerging capabilities and proactively considers how they could be applied to solve real business problems in new ways
Comfort with ambiguity: Thrives in environments where the answer is not obvious and the path must be co-created; able to make progress and produce quality work even when requirements are evolving
Stakeholder communication: Confident communicator who can engage effectively with both technical teams and senior business partners, adapting style and level of detail as appropriate
Collaboration & diplomacy: Skilled at working across cross-functional teams including Marketing, Technology, Risk, Legal, and Finance to build consensus and drive outcomes
Composure under pressure: Demonstrates resilience and focus in a fast-paced, matrixed environment with shifting priorities and tight timelines

Education

Bachelor's degree required; Master's degree preferred
Agile or BA certifications (e.g., CBAP, PMI-PBA, CSM, or equivalent) are a plus

Coursework, certifications, or self-directed learning in AI/ML fundamentals, prompt engineering, or data science concepts is a differentiating plus

Any reference to years of experience should be disregarded in the UK

Primary Location City/State:

New York, New York

Additional Locations (if applicable):

Acxiom is an equal opportunity employer, including disability and protected veteran status (EOE/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, military status, physical or mental disability, sexual orientation, gender identity or expression, genetics or other protected status.

Attention California Applicants: Please see our CCPA/CPRA Privacy Act notice here.

Attention Colorado, California, Connecticut, Maryland, Nevada, New Jersey, New York City, Ohio, Rhode Island, and Washington Applicants: This position is not located in the aforementioned locations but applications for remote work may be considered. For information about this role under state or local equal pay or pay transparency laws, please contact recruit@acxiom.com.