Data Engineering and Architecture Practice Lead

About Us

Clearsulting is a global consulting company delivering positive change through digital finance. Our team consists of finance specialists with experience and technical capabilities across financial close, digital reporting, risk advisory, treasury, and more. We stand by our culture, shaped by five Core Values: GRIT, Growth Mindset, Joy, Accountability, and Teamwork. Our dedication to these principles has earned national recognition, including:

• Sunday Times Best Places to Work Award (2025-2026)
• ‘Great Place to Work’ Certified (2022-2026)
• Fortune’s Best Workplaces in Consulting (2022-2024)
• Inc. 5000 Fastest-Growing Private Companies in America (2020-2023)

Headquartered in Cleveland, OH, we have additional offices in Chicago, IL; Columbus, OH; and Dallas, TX, and support remote work in other cities. Office options include hybrid or fully remote arrangements. Team members within a 45-minute commute of an office are expected to work in-person 8 days per month. Travel expectations range from 0-40%.

About the Role

Clearsulting is developing a Data Engineering and Architecture practice to extend our Office of the CFO capabilities, strengthen our AI offerings, and enable participation in broader enterprise data and transformation programs. We seek an entrepreneurial Data Engineering & Architecture Practice Lead to define, build, and lead this capability. This role offers the opportunity to shape the practice based on client demand, Clearsulting’s market position, advancements in enterprise AI, and evolving needs of finance, data, and technology leaders.

The initial practice thesis centers on three connected areas:

• Finance data strategy, architecture, integration, governance, and controls
• Enterprise data engineering, architecture, and modern cloud data platforms
• Data and knowledge foundations required to operationalize enterprise AI

The practice may evolve beyond these areas as the market develops. The Practice Lead will identify where Clearsulting can establish a differentiated position, translate it into client offerings, and build the people, methods, partnerships, and delivery capabilities to scale.

Responsibilities

• Define and Build the Practice
  • Define and lead the vision, strategy, and growth plan for Clearsulting's Data Engineering and Architecture practice, establishing a differentiated market position.
  • Develop scalable service offerings, methodologies, accelerators, and delivery frameworks spanning enterprise data, cloud platforms, data architecture, and AI foundations.
  • Build the operating model, talent strategy, partnerships, and capabilities required to support sustainable growth and evolving client needs.
• Drive Market Development and Growth
  • Develop executive relationships, identify client opportunities, and expand Clearsulting’s presence within technology, data, and transformation organizations.
  • Lead business development efforts including solution design, proposal development, pricing strategy, and contract negotiations.
  • Own practice performance and growth objectives, including pipeline, bookings, revenue, profitability, and strategic partnerships.
• Lead Client Delivery
  • Serve as a trusted advisor to senior business, finance, and technology leaders, guiding complex data, analytics, and transformation initiatives.
  • Oversee the successful delivery of engagements across data strategy, architecture, engineering, governance, cloud modernization, and AI enablement.
  • Ensure client engagements deliver measurable business outcomes while maintaining high standards of quality, risk management, and delivery excellence.
• Build and Lead the Team
  • Recruit, develop, and lead a high-performing team of data architects, engineering leaders, and consulting professionals.
  • Foster a culture of technical excellence, client service, innovation, and collaboration aligned with Clearsulting's Core Values.
  • Establish career development pathways, governance standards, and delivery capabilities that support long-term practice growth.
• Collaborate Across Clearsulting
  • Partner with leaders across Business Advisory, Office of the CFO, AI, and technology practices to develop integrated client solutions and go-to-market strategies.
  • Help embed data and architecture capabilities into broader transformation initiatives, creating greater value for clients and expanding Clearsulting’s impact.
  • Contribute to firmwide growth, innovation, talent development, and strategic planning initiatives.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Systems, Business, or Finance.
• 10+ years of consulting, data, technology, architecture, engineering, or enterprise transformation experience, including leadership responsibility for complex client engagements and teams.
• Demonstrated experience building, scaling, or leading a consulting practice, service line, technology organization, or significant capability area.
• Deep expertise in modern data architecture and engineering, including cloud platforms, data governance, architecture frameworks, data quality, and AI-ready data foundations.
• Proven ability to translate business and technology requirements into scalable data strategies, architectures, and transformation programs.
• Experience building trusted relationships with senior executives and leading business development efforts, including opportunity qualification, solution design, proposal development, and account growth.
• Track record of leading large-scale transformation programs from strategy through implementation while delivering measurable business outcomes.
• Experience recruiting, developing, and retaining high-performing consulting and technical teams.
• Strong financial, operational, and executive communication skills, including experience managing practice performance, revenue, profitability, and growth objectives.
• Entrepreneurial mindset with the ability to thrive in a dynamic, growth-oriented environment while embodying Clearsulting’s Core Values.

Nice-to-Haves

• Experience supporting finance transformation, ERP, EPM, reporting, data governance, or AI enablement initiatives.
• Experience across multiple cloud, data, or analytics platforms and relevant industry certifications.
• Experience developing managed services, global delivery models, strategic partnerships, or acquisition-related integration activities.
• Existing relationships within the data, analytics, technology, or enterprise transformation market.

Benefits

• Medical, dental, and vision coverage
• Unlimited PTO
• Paid parental leave
• Retirement plans
• Flexible work environment
• Cell phone reimbursement
• Access to mental health apps
• Life insurance and disability coverage
• Opportunities for ad hoc bonuses

Pay

The compensation range for this position is $185,000 – $285,000. Final salary placement will be based on level of expertise, relevant work experience, technology certifications, educational background, geography, and alignment with industry standards. This role is eligible for our bonus program.