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About the Role

Join the Enterprise Technology team as an Architect within Bain's digital capabilities practice. You will help clients modernize their tech strategy, architecture, and systems, aligning technology with business goals to drive efficiency, agility, and innovation. Develop enterprise-wide solutions, optimize cloud and data architectures, and integrate AI for scalable digital transformations.

Responsibilities

Lead the definition of enterprise data architecture strategies, target states, and roadmaps aligned with client business priorities and transformation outcomes.
Architect scalable, resilient, and secure enterprise data platforms and solutions across cloud, hybrid, and multi-cloud environments.
Define organizational strategies and operating models for a modern Data Office, including governance, ownership, platform, and delivery capabilities.
Develop as-is and to-be architectures, reference models, migration options, and transition roadmaps for complex data transformations.
Define enterprise integration and data-sharing standards across APIs, event streaming, data pipelines, and microservices-aligned architectures.
Shape the data foundations required for analytics and AI, including data engineering, feature engineering, model data pipelines, and MLOps enablement.
Assess, select, and integrate modern data platforms, vendor solutions, and hyperscaler services, including Databricks, Snowflake, Microsoft Fabric, AWS, Azure, and GCP.
Translate complex business and technical requirements into clear architecture decisions, investment priorities, and executable plans.
Serve as a trusted advisor to CISOs, CIOs, CTOs, Chief Architects, and senior executives on cyber security strategy, architecture decisions, and technology trade-offs.
Establish executive-level credibility and communicate effectively with senior business and technology stakeholders as part of client project leadership teams.
Act as an independent design authority by reviewing and validating data architecture proposals, evaluating options, and providing delivery assurance.
Influence, coach, and mentor client data and technology leaders and Bain teams to build sustainable architecture and Data Office capabilities.
Lead high-impact data architecture workstreams within large-scale, multi-year transformation programs.
Set direction and lead internal and external teams across complex, multi-million-dollar client engagements.
Guide Bain consulting and client teams in executing architecture roadmaps, managing dependencies and risks, and embedding effective governance.
Ensure architectures evolve through agile and MVP delivery while maintaining security, resilience, interoperability, scalability, and coherence.
Partner with Bain consulting teams to integrate data architecture into broader business, technology, cloud, and AI transformations.
Lead and mentor teams of architects and consultants to deliver secure, scalable, and high-performing enterprise data platforms aligned with client outcomes.
Collaborate with leaders across Vector guilds to bring the optimal combination of expertise to clients.
Support recruiting, onboarding, and people development, and help create an environment that attracts and develops great architects.
Define and create demand by co-creating differentiated points of view and go-to-market offerings in enterprise data architecture, data modernization, Master Data Management, Data Office design, and AI-enabled transformation.
Support proposals, pursuits, and account expansion by bringing data architecture expertise into client discussions and solution shaping.
Maintain market and vendor awareness, collaborate with ecosystem partners, and continuously evolve Bain's enterprise data architecture point of view.
Contribute actively to client cases, intellectual property, publications, and architecture community engagement.
Build and sustain trusted relationships with senior stakeholders, sponsors, and architecture communities.

Requirements

10+ years of experience in data architecture and technology leadership, including large-scale transformation programs.
Deep enterprise data architecture expertise across multiple industries, such as financial services, consumer, and technology.
Demonstrated track record shaping enterprise data strategies, target architectures, platform roadmaps, and operating models.
End-to-end lifecycle experience leading large, complex, multi-year data transformation programs from strategy and architecture through implementation and migration.
Deep understanding of how data enables AI, with delivery experience across data engineering, feature engineering, model data pipelines, and MLOps enablement.
Hands-on architecture and delivery experience with modern data stacks and cloud data services, including Snowflake, Microsoft Fabric, and AWS, Azure, or GCP.
Strong knowledge of data governance, metadata, data quality, Master Data Management, data integration, security, privacy, and responsible data use.
Strong client leadership and business development experience, including pre-sales, go-to-market efforts, proposal shaping, and account expansion.
Proven thought leadership in contemporary topics such as Master Data Management, data modernization, Data Office design, data products, and AI adoption.
Exceptional communication and influencing skills, with the ability to explain complex solutions, algorithms, and trade-offs to business and technology audiences.
High emotional intelligence and proven ability to lead, mentor, and inspire diverse, cross-functional, and multi-office teams.
Curiosity, proactivity, critical thinking, and the ability to work independently and manage competing priorities in fast-paced, ambiguous environments.

Skills

Enterprise data architecture
Technology leadership
Large-scale transformation programs
Data strategy
Target architectures
Platform roadmaps
Operating models
Data engineering
Feature engineering
Model data pipelines
MLOps enablement
Modern data stacks
Cloud data services
Snowflake
Microsoft Fabric
AWS
Azure
GCP
Data governance
Metadata management
Data quality
Master Data Management
Data integration
Data security
Data privacy
Responsible data use
Client leadership
Business development
Pre-sales
Go-to-market strategy
Proposal shaping
Account expansion
Thought leadership
Data modernization
Data Office design
Data products
AI adoption
Communication skills
Influencing skills
Emotional intelligence
Team leadership
Mentoring
Cross-functional team collaboration
Critical thinking
Problem-solving

Location

Atlanta
Austin
Boston
Chicago
Dallas
Houston
New York

Work Type

Permanent Full-Time

Experience Level

10+ years of experience

Salary/Compensations

In Georgia, Illinois, Massachusetts, and Texas, the annualized full-time salary range is between $168,500 - $206,000.
In New York City, the annualized full-time salary range is between $191,000 - $234,500.
For all other locations, the annualized full-time salary is commensurate with competitive geographic market rates.
Includes base salary, annual discretionary performance bonus, and 401(k) plan with annual employer contribution.

Benefits

Annual discretionary performance bonus
Eligibility for other elements of discretionary compensation
4.5% 401(k) company contribution, increasing after 3 years of service and 100% vested upon start date
Comprehensive benefits and wellness program
100% employer-paid individual employee premiums for medical, dental, and vision programs
Generous paid time off, including parental leave, sick leave, and paid holidays
Paid Life and Long-Term Disability insurance

About the Company

Proud to be consistently recognized as one of the world’s best places to work.
Top ranked consulting firm on Glassdoor’s Best Places to Work list, earning the #1 overall spot a record seven times.
Extraordinary teams are at the heart of our business strategy.
We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.

Equal Opportunity

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.