Senior Director, Data & AI Advisory

🕒 vor 20 Tagen

🇺🇸 Vereinigte Staaten – Remote

⏰ Vollzeit

🟠 Senior

🤖 Künstliche Intelligenz

🦅 H1B-Visum-Sponsor

Dieses Unternehmen hat in der Vergangenheit H1B-Visa gesponsert.

Jetzt Bewerben

Ähnliche Remote-Jobs finden

E-Mails für Remote-Jobs erhalten

📊 Überprüfen Sie Ihre Lebenslauf-Bewertung für diese Stelle

Verbessern Sie Ihre Chancen auf ein Vorstellungsgespräch, indem Sie Ihre Lebenslauf-Bewertung vor der Bewerbung überprüfen.

Lebenslauf hochladen

Acxiom

WebsiteLinkedInAlle Stellen

1001 - 5000 Mitarbeiter

Gegründet 1968

🤝 B2B

🛍️ eCommerce

B2B • eCommerce • Marketing

Acxiom ist ein führender Anbieter von Datendiensten, der sich auf die Nutzung von Datenmanagement, Identitätsauflösung, Analytik und Martech-Services spezialisiert hat, um Unternehmen bei der Optimierung ihrer Marketinganstrengungen zu unterstützen. Mit einem Engagement für den ethischen Umgang mit Daten bietet Acxiom Lösungen in verschiedenen Branchen an, wie zum Beispiel Automobil, Gesundheitswesen, Telekommunikation, Finanzdienstleistungen und Einzelhandel. Ihre Expertise hilft dabei, Marketingstrategien zu optimieren, um Kundenbeziehungen aufzubauen, zu halten und auszubauen. Acxiom arbeitet mit renommierten Plattformen wie Adobe, Salesforce und Snowflake zusammen, um datengesteuertes Marketing voranzutreiben und die digitale Transformation für ihre Kunden zu ermöglichen.

Beschreibung

• 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.

🎯 Anforderungen

• 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.

🏖️ Vorteile

• SPONSORSHIP NOT AVAILABLE FOR THIS POSITION