Senior Consultant – Data Strategy & AI Enablement

Are you energized by helping organizations turn ambitious data and AI goals into practical plans, operating models, and measurable outcomes? Do you enjoy working with business and technology leaders to define the right problems, establish priorities, and create clarity across complex data ecosystems? Torq is looking for experienced data strategy and functional data consultants who can help clients connect data, analytics, and AI investments to meaningful business value. In this role, you will work at the intersection of business strategy, data management, analytics, technology, and organizational change. You will help clients assess their current capabilities, prioritize high-value opportunities, define future-state data ecosystems, establish governance and operating models, and create executable roadmaps. You will also help clients become ready to adopt AI responsibly and effectively. That means looking beyond individual AI tools or proofs of concept to address the underlying data, process, governance, architecture, talent, and adoption capabilities required to scale AI successfully. This role is ideal for someone who can bring structure to ambiguity, facilitate senior stakeholder conversations, translate business needs into data and technology requirements, and stay connected to implementation through delivery. What you Could be Doing: Lead workstreams across data strategy, analytics strategy, AI readiness, data governance, operating-model design, and data-platform transformation initiatives. Partner with business and technology leaders to understand strategic priorities, operational pain points, decision-making needs, and opportunities for data and AI. Assess current-state data ecosystems across people, process, technology, governance, architecture, quality, and adoption. Identify the business, data, and organizational barriers preventing clients from scaling analytics and AI use cases. Facilitate executive interviews, stakeholder workshops, discovery sessions, working groups, and prioritization exercises. Define data and AI visions, strategic principles, target-state capabilities, maturity models, and transformation roadmaps. Identify, evaluate, and prioritize analytics and AI use cases based on business value, feasibility, data readiness, risk, and organizational capacity. Develop business cases, investment recommendations, value frameworks, KPIs, and success measures for data and AI initiatives. Design data operating models that clarify ownership, decision rights, governance bodies, delivery responsibilities, and interactions between business and technology teams. Establish practical data-governance frameworks covering ownership, stewardship, quality, metadata, security, privacy, access, and lifecycle management. Help clients define data domains, data products, critical data elements, business glossaries, and accountability models. Translate business processes and stakeholder needs into data requirements, functional specifications, user stories, process maps, and acceptance criteria. Partner with data engineers, architects, analysts, product teams, and AI specialists to ensure strategic recommendations are actionable and technically feasible. Support vendor evaluations, platform selections, architecture decisions, and implementation planning. Develop executive-level presentations, decision documents, assessments, playbooks, operating procedures, and implementation plans. Support organizational adoption through stakeholder engagement, communications, training, change management, and capability-building activities. Guide junior consultants by providing direction, reviewing deliverables, sharing context, and helping improve the quality of team output. Contribute to Torq frameworks, assessments, accelerators, methodologies, and thought leadership across data, analytics, and AI. Support business development by identifying client needs, shaping solution approaches, contributing to proposals, and participating in client presen…