BCG Platinion | Senior AI Tech Consultant, Tech Advisory & Delivery

Senior AI Tech ConsultantBoston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.BCG's Tech and Digital Advantage (TDA) practice focuses on helping clients deliver competitive advantage and business superior performance through data, technology and digital. BCG Platinion sits within the TDA practice and is at the heart of the strategic impact we have with our clients. Our consultants and experts globally work across all industries and provide deep experience and expertise in a wide variety of topics including Tech Advisory and Delivery, Architecture, Enterprise Solutions and Packaged Software, Cybersecurity, and Technology Risk Management.Our Tech Advisory and Delivery Chapter within BCG Platinion helps clients solve some of their most challenging problems through the development of superior IT concepts and tech solutions. The ideal candidate is both passionate as a consultant and technologist, and can bring their expertise to help develop customized, innovative client solutions.Tech Advisory & Delivery Senior AI Tech Consultants at BCG Platinion are:Technical experts. They are critical thinkers and have extensive IT expertise that drives innovation for our clients, rooted in practicality.Collaborative. They are interdisciplinary team players who seek alignment and establish relationships ranging from cross-functional stakeholder groups to existing teams.Comfortable with ambiguity. They know the path forward isn't always well-defined. They are comfortable and confident working through the unknown.Change agents. They know how to make change happen across an organization across all levels - from executives to individual contributors and IT practitioners. They can align and onboard teams to implement new processes and toolsets. They embrace complex challenges and guide an organization to optimize IT best practices.Influencers. They build strong relationships to build trust and influence stakeholders. They are able to effectively communicate across Business & IT stakeholders in order to influence positive change.AI and Agentic native. They are versed in the latest AI and Agentic technologies and methodologies and leverage them daily to deliver high impact outcomes and tackle difficult challenges.What You'll DoAs a Senior AI Tech Consultant, you'll be given end-to-end responsibility for an individual "module" within a BCG client engagement and begin to develop specialized knowledge to help you solve our clients' problems. You'll work on a variety of digital topics, applying generalist consulting skills to strategic digital & technology questions. Working together with clients to understand their issues, you'll create strategies for change, win buy-in for your recommendations, and collaborate with fellow BCGers to transform client potential into performance.Our consultants within the Tech & Digital Advantage (TDA) Chapter are an integral part of BCG's core consulting team; we work side-by-side with all practice areas to create value and competitive advantage for our clients. You'll help your clients answer questions such as "How will AI disrupt my business model?", "How can businesses use data and analytics to create highly personalized outreach delivered through a seamless omnichannel experience?", "How can I ship higher quality digital services to my customers faster by using agile?" and many more.You're Good At:At Platinion, we expect our consultants to be able to contribute and quickly get up to speed on a variety of topics to support the ever-changing demands of our clients. However, that broad ability to deliver needs to be grounded in deep technological knowledge in 2-3 of our primary areas of expertise such as:Supporting AI and digital transformation efforts by developing strategies around:AI and Agentic Platforms.Data and digital analytics platforms.Cloud infrastructure and technologies.Data management capabilities.Enterprise Tech Platforms.Business IT architecture.Software and product management (including Agile ways of working).Tech, Enterprise Architecture and Data governance.Experience with a wide breadth of tech / AI / digital offerings, including but not limited to:Developing roadmaps and current state assessments for IT and AI/Data organizations in large companies across various industries.Orchestrating technical program delivery across business stakeholders, complex vendor landscapes and technology ecosystems.AI / LLM cost optimization and FinOps.IT Benchmarking and recommendations for IT cost take-out initiatives.Developing future state IT vendor landscape, vendor assessments/selections automation, tech cost benefits analysis, eCommerce, platform valuation and design.Supporting IT functions during mergers and acquisitions, including the functional and technical transformation of an organization's IT department.Communicating the differences and benefits between multiple cloud computer providers and strategies for migrating from on-premise architecture.Utilizing working knowledge and experience with GenAI and its potential use cases and client implications to deliver both practical and visionary solutions.Experience supporting the design and delivery of AI-powered products within a functional and/or industry business domain, including:Defining and prioritizing AI product requirements and user stories grounded in domain-specific workflows.Translating business problems into AI-enabled product concepts and functional specifications.Supporting agile product delivery including sprint planning, backlog management, and iterative development.Contributing to product testing, quality assurance, and user acceptance activities.Supporting the configuration and integration of AI and generative AI tools into enterprise workflowsSupporting definition of product / solution architecture and data integration patterns.Assisting with data readiness activities including mapping, cleansing, and validation across source systems.Contributing to the design of agentic workflows and automation use cases within a functional domain.Supporting vendor evaluations and platform assessments for AI product tooling.Assisting with change management, training, and adoption activities to embed AI products into business operations.Optimizing business and IT processes within complex and heavily matrixed organizations and effectively communicating a path forward for clients and internal stakeholders.Delivering data and digital platforms using techniques such as Agile, DevSecOps, and Cloud native architectures.Specific AI product domain expertise topics (preferred):FP&A & FinOps:Support the design and delivery of AI-powered products and subject matter depth in one or multiple core finance processes, including FP&A, financial close and reporting, procure to pay, order to cash, etc., with understanding of underlying finance systems (e.g. ERP, CLM, EPM, etc.) and data (e.g., GL, Orders, Invoices, Contracts, Plan/Forecast, etc.). Experience deploying AI use cases ranging from operational quick wins (e.g., AI chat enabled reporting insights) to strategic transformation (e.g., AI order-to-cash automation).Supply Chain / S&OP(E):Support the design and delivery of AI-powered products and subject matter depth in one or multiple key supply chain processes including demand planning, inventory optimization, procurement, logistics, and fulfillment, with understanding of underlying systems (e.g., ERP, MES, APS) and data (e.g., BOM, Orders, Inventory, etc.). Experience deploying AI use cases ranging from operational quick wins (e.g., stockout detection) to strategic transformation (e.g., Agentic S&OP transformation).Go-To-Market (GTM):Support the design and delivery of AI-powered products and subject matter depth in one or multiple key GTM processes including marketing, sales, customer success, and revenue operations, with understanding of underlying systems (e.g., CRM, CMS, CPQ, SPM) and data (e.g., Customer, Lead/Opportunity, Order/configuration, Territory/Quota, etc.). Experience deploying AI use cases from operational quick wins (e.g., lead scoring, outreach automation) to strategic transformation (e.g., AI-native revenue operations).Written communicationEffectively codifying messaging and data into presentable materials and being comfortable delivering communications output in an efficient manner – accuracy and speed are critical to success of fast-paced,