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 platformutilization identity resolution consent management governance data quality analytics activation measurement and AI readiness.

• Develop future-state recommendations across operatingmodel capability gaps data flows functional architecture governance measurement business case andimplementationsequencing.

• 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 indeliveryreality.

• 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 thepractice leaderin scaling the broader practice byidentifyingtalent 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 collaborationconversionAPIs 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 ora relateddiscipline.
  

Why Join Us

You will help lead a teamoperatingat 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.