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Senior Director, Data & AI Advisory

Job in Conway, Faulkner County, Arkansas, 72035, USA
Listing for: Acxiom
Full Time position
Listed on 2026-06-26
Job specializations:
  • IT/Tech
    Change Management, IT Business Analyst, Business Systems/ Tech Analyst, Data Analyst
Job Description & How to Apply Below

Overview

We are seeking a Sr. Director, Data & AI Advisory to lead Acxiom’s Data & AI Advisory team within the broader Data & AI Services practice. The role is a senior consulting leader who advises clients on turning customer data, identity, platforms, analytics, and AI into measurable business value while scaling a growing advisory business. The director serves as a trusted advisor to senior client stakeholders, leads complex consulting engagements, and owns day‑to‑day leadership of a portfolio of advisory and delivery‑oriented offerings.

Responsibilities
  • Advisory & Engagement Leadership
    • Lead Data & AI Advisory engagements from opportunity shaping through discovery, current‑state assessment, future‑state design, roadmap development, and executive readout.
    • Serve as the senior day‑to‑day advisory lead for clients, building trusted relationships with marketing, data, technology, analytics, operations, privacy and executive stakeholders.
    • Translate complex business challenges into clear data, AI, analytics, governance, identity and technology strategies tied to measurable outcomes.
    • Structure ambiguous problems into workplans, hypotheses, stakeholder sessions, deliverables, decision points and actionable recommendations.
  • Offering Leadership & Commercial Growth
    • Lead and evolve a portfolio of Data & AI Advisory offerings across strategy, readiness, platform improvement, identity enablement, activation, measurement and value realization.
    • Support business development through opportunity qualification, solution shaping, proposal writing, pitch development, scope definition, estimation and delivery model design.
    • Develop repeatable playbooks, sales enablement materials, assessment frameworks, workshop formats, delivery standards and accelerators that improve quality and scalability.
  • Data, AI & Marketing Transformation Strategy
    • Advise clients on using first‑, second‑ and third‑party data as strategic assets for customer understanding, marketing effectiveness, personalization, measurement and growth.
    • Assess client maturity across data strategy, platform utilization, identity resolution, consent management, governance, data quality, analytics, activation, measurement and AI readiness.
    • Develop future‑state recommendations across operating model, capability gaps, data flows, functional architecture, governance, measurement, business case and implementation sequencing.
    • Guide clients on responsible and effective AI adoption, including use case prioritization, data readiness, workflow integration, governance, change management and value realization.
  • Solutioning, Delivery & Cross‑Functional Collaboration
    • Partner with solution architects, data engineers, data scientists, analysts, product owners, experience strategists and technology partners to ensure strategy is grounded in delivery reality.
    • Deliver executive‑ready artifacts such as maturity assessments, use case portfolios, gap analyses, future‑state designs, data flows, solution concepts, RACIs, business cases and phased roadmaps.
    • Bridge strategy and implementation by clarifying scope, sequencing, dependencies, success metrics, delivery roles, risks and decision rights.
  • Team Leadership & Practice Development
    • Provide day‑to‑day leadership, mentorship and coaching to Data & AI Advisory consultants, strategists and analysts.
    • Shape staffing plans, delivery roles, quality standards, reusable methods and development paths for the advisory team.
    • Translate practice goals into tactical actions and ensure progress against priorities.
    • Support the practice leader in scaling the broader practice by identifying talent needs, capability gaps, offering opportunities and operational improvements.
Qualifications
  • 8+ years of professional experience in consulting or professional services focused on data strategy, marketing transformation, analytics, AI, data management, technology advisory or related fields.
  • Bachelor’s degree required;
    Master’s preferred.
  • Proven experience leading client‑facing consulting engagements end to end – discovery, assessment, strategy, roadmap, executive presentation and implementation planning.
  • Experience developing, packaging, selling and leading consulting offerings or…
Position Requirements
10+ Years work experience
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