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Boston Consulting Group

Global strategy and transformation consulting firm

Tech Advisory & Delivery Manager

Technology & Systems ConsultingConfirmed live in the last 24 hours
Full-time$190k

About the Job

Requirements

  • A bachelor's or master's degree in information technology, computer science, economics, supply chain, logistics, system engineering, business management/administration, or a relevant field.
  • Five to eight years of practical experience in AI/technology consulting, product management, professional software development, product implementation, and program implementation.
  • Experience in at least one of the following areas is preferred: AI product management; AI platforms such as AWS AgentCore, Azure Foundry, n8n, Aera, Palantir, or Agentforce; data platforms such as Databricks or Snowflake; planning platforms such as Anaplan, Kinaxis, or OMP; SAP or Oracle; or Salesforce.
  • Two or more years of professional consulting experience executing and managing technology or strategic management consulting at a leading consulting firm is preferred.
  • Ability to learn and ramp up quickly, especially on information technology topics concerning data and digital platforms, and to master and apply BCG's framework for data and digital platforms to BCG's client portfolio.
  • Ability to use generative AI tools such as ChatGPT and Claude and validate their responses.
  • Willingness to travel globally to work with clients and BCG teams; travel may reach 80% depending on client needs and project nature.

Responsibilities

  • Take end-to-end responsibility for larger and more complex modules within BCG projects, applying consulting skills to strategic digital and technology questions.
  • Work with clients to understand their issues, create change strategies, win support for recommendations, and collaborate with BCG colleagues to transform client potential into performance.
  • Manage, support, and coach junior team members while also serving as an individual contributor.
  • Support clients in answering strategic questions concerning AI disruption, data and analytics, personalized omnichannel outreach, and agile digital service delivery.
  • Support AI and digital transformation by developing strategies for AI and agentic platforms; data and digital analytics platforms; cloud infrastructure and technologies; data management capabilities; enterprise technology platforms; business IT architecture; software and product management, including agile ways of working; and technology, enterprise architecture, and data governance.
  • Develop roadmaps and current-state assessments for IT and AI/data organizations at large companies across industries.
  • Orchestrate technical program delivery across business stakeholders, vendor landscapes, and technology ecosystems.
  • Address AI and large language model cost optimization and FinOps, IT benchmarking, and recommendations for IT cost-reduction initiatives.
  • Develop future-state technology vendor landscapes; automate vendor assessments and selections; analyze technology cost benefits; and work on e-commerce, platform valuation, and platform design.
  • Support technology functions during mergers and acquisitions, including functional and technical transformation of organizations' IT departments.
  • Explain differences and benefits between cloud-computing providers and strategies for migrating from on-premise architecture.
  • Use working knowledge of generative AI and its potential use cases and client implications to deliver practical and visionary solutions.
  • Lead design and delivery of AI-powered products within a functional or industry business domain, including defining product vision, roadmaps, and prioritization frameworks grounded in domain workflows and business value.
  • Translate business strategy into AI-enabled product concepts, functional specifications, and delivery plans.
  • Lead agile product delivery, including sprint planning, backlog management, and iterative development across teams.
  • Own product quality assurance, ensure outputs meet functional, technical, and compliance requirements, and identify poor AI engineering.
  • Define product and solution architecture and data integration patterns.
  • Design and oversee integration of AI and generative AI capabilities into enterprise workflows at scale.
  • Define data strategy and governance requirements for reliable, production-grade AI products.
  • Lead design of agentic workflows and automation use cases, balancing innovation with operational feasibility.
  • Lead vendor evaluations and platform-selection processes for AI product tooling aligned with business and technical requirements.
  • Drive change management and adoption strategies to embed AI products into business operations and ways of working.
  • Optimize business and IT processes in complex, heavily matrixed organizations and communicate a path forward for clients and internal stakeholders.
  • Deliver data and digital platforms using agile, DevSecOps, and cloud-native architectures.
  • Lead creation of client-specific strategic materials that surface insights from technical experts and observations.
  • Codify messages and data into presentable materials and deliver communications efficiently, accurately, and quickly for fast-paced, high-profile projects.
  • Synthesize conversations, artifacts, and best practices into clear, action-oriented recommendations.
  • Support business development by writing proposals and scoping projects.
  • Contribute to thought leadership through written publications and speaking at events and conferences.
  • Present materials, case updates, and escalations to client and internal teams.
  • Facilitate technical and strategic working sessions and workshops with client and internal teams.
  • Provide direction on key work items and feedback to team members.
  • Build relationships with key clients.
  • Manage junior team members by defining and organizing their project modules and helping them structure their work and analyses.
  • Mentor and coach junior team members by establishing development agreements and creating opportunities for growth against defined objectives.
  • Provide quality-assurance oversight by reviewing junior team members' work for correctness, insight, and clarity.
  • Promote a positive experience for junior staff.
  • Serve as a role model by demonstrating BCG's culture and values.

Desired Qualifications

  • Preferred AI product domain expertise in financial planning and analysis and FinOps, including depth in finance processes such as financial planning and analysis, financial close and reporting, procure-to-pay, and order-to-cash; knowledge of underlying finance systems such as ERP, CLM, and EPM and data such as general ledger, orders, invoices, contracts, plans, and forecasts; and experience deploying AI use cases from operational quick wins to strategic transformations.
  • Preferred AI product domain expertise in supply chain and sales and operations planning and execution, including depth in demand planning, inventory optimization, procurement, logistics, and fulfillment; knowledge of underlying systems such as ERP, MES, and APS and data such as bills of materials, orders, and inventory; and experience deploying AI use cases from operational quick wins to strategic transformations.
  • Preferred AI product domain expertise in go-to-market processes including marketing, sales, customer success, and revenue operations; knowledge of systems such as CRM, CMS, CPQ, and SPM and data such as customers, leads and opportunities, orders and configurations, and territories and quotas; and experience deploying AI use cases from operational quick wins to strategic transformations.

About the Company

Boston Consulting Group

Global strategy and transformation consulting firm

BCG provides global management consulting, advising leaders in strategy and transformation across industries, with expertise in M&A, operations, pricing, sustainability, and AI. BCG X builds AI solutions, digital products, and new ventures by combining engineers, data scientists, designers, and venture builders for clients. Specialist units Inverto, Platinion, and Quantis support procurement, IT architecture, and sustainability, while the BCG Henderson Institute supplies research. The goal is to help clients achieve lasting performance improvements and durable value through strategic advisory plus hands-on technology execution.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1963

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