Senior Director, Data & AI Advisory

SPONSORSHIP NOT AVAILABLE FOR THIS POSITION

What You Will Do 
 

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. 
   

What You Will Have 

• 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. 
   

Nice to Have 

• Experience in marketing, media, financial services, healthcare, automotive, retail, or other data-rich industries. 

• Experience with AdTech, experimentation, audience strategy, data collaboration, conversion APIs, or advanced measurement approaches such as incrementality, attribution, MMM inputs, or lift analysis. 

• Familiarity with web and app analytics platforms, data visualization tools, customer intelligence platforms, or marketing measurement platforms. 

• Familiarity with machine learning concepts, statistics, empirical economics, optimization, scenario planning, or AI-enabled decisioning in a marketing or customer context. 

• A quantitative, technical, or business background in business, economics, computer science, business informatics, data science, analytics, or a related discipline. 
   

Why Join Us 

You will help lead a team operating at the forefront of data, AI, identity, and marketing transformation. Our work spans early-stage strategy through enterprise-scale change, helping clients build modern, insight-driven customer data ecosystems that are powerful, practical, and measurable. 

In this role, you will shape how leading organizations define customer data strategy, modernize marketing and analytics capabilities, operationalize AI-enabled decisioning, improve platform performance, create practical governance models, and turn strategic ambition into executable roadmaps. You will also help scale the Data & AI Advisory team by developing people, improving delivery standards, shaping offerings, and partnering with the broader practice to drive growth.