Senior Director, Data & AI Advisory

🕒 June 3

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🤖 Artificial Intelligence

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Acxiom

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1968

🤝 B2B

🛍️ eCommerce

B2B • eCommerce • Marketing

Acxiom is a leading data service provider that specializes in leveraging data management, identity resolution, analytics, and martech services to help businesses enhance their marketing efforts. With a commitment to the ethical use of data, Acxiom offers solutions across various industries such as automotive, healthcare, telecommunications, financial services, and retail. Their expertise aids in optimizing marketing strategies to acquire, retain, and grow customer relationships. Acxiom partners with renowned platforms such as Adobe, Salesforce, and Snowflake to drive data-driven marketing and enable digital transformation for their clients.

📋 Description

• 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 how to use 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.

🎯 Requirements

• 8+ years of professional experience in consulting or professional services, with a focus on data strategy, marketing transformation, analytics, AI, data management, technology advisory, or related fields. • Bachelors Degree Required - Masters Preferred • Proven experience leading client-facing consulting engagements end to end, including discovery, assessment, strategy, roadmap, executive presentation, and implementation planning. • Experience developing, packaging, selling, and leading consulting offerings or repeatable service propositions, including sales enablement, scoping, proposal development, and value articulation. • Strong understanding of customer data as a strategic asset in marketing and customer engagement, including first-party data, identity, segmentation, activation, measurement, and personalization. • Working knowledge of modern data and marketing ecosystems, including cloud data platforms, CDPs, CRM, activation platforms, journey orchestration, clean rooms, and measurement tools. • Practical understanding of AI and analytics use cases, including how data readiness, governance, workflow integration, operating model design, and adoption affect value realization. • Working awareness of data governance, data quality, data cataloging, privacy-by-design, consent management, and responsible AI considerations, with the ability to involve deeper SMEs when needed. • Experience leading cross-functional teams that may include strategists, analysts, solution architects, data engineers, data scientists, product owners, privacy stakeholders, and client SMEs. • Ability to translate ambiguous executive priorities and non-technical stakeholder needs into clear requirements, strategic recommendations, workplans, roadmaps, and business cases. • Strong executive communication, facilitation, presentation, and storytelling skills, with the ability to influence both technical and non-technical audiences. • Experience applying consulting frameworks such as maturity assessments, capability models, use case prioritization, value vs. effort analysis, operating model design, governance models, and roadmaps. • Experience working across onshore, nearshore, offshore, intercultural, and interdisciplinary teams.

🏖️ Benefits

• SPONSORSHIP NOT AVAILABLE FOR THIS POSITION