Data Engineering and Architecture Practice Lead

Who We Are:

Clearsulting is a global consulting company with the motivation to deliver positive change through digital finance. Our team consists of finance specialists that bring experience and technical capabilities across the spectrum of finance, including financial close, digital reporting, risk advisory, treasury and more.

Clearsulting stands by its culture, shaped by our five Core Values: GRIT, Growth Mindset, Joy, Accountability, and Teamwork. Our unwavering dedication to these principles has garnered national recognition for our strong leadership, innovative approach, and outstanding workplace environment. Below are some of the awards and accolades that honor our commitment to excellence:

• 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)

Location:

• Clearsulting is headquartered in Cleveland, OH, with additional offices located in Chicago, IL; Columbus, OH; and Dallas, TX. Other cities are welcome remotely.
• Office Options: Hybrid or Remote. Team members residing within a 45 minute commuting radius of a Clearsulting office, we expect 8 days of in-person work per month, allowing flexibility choosing these days to accommodate client meetings, team syncs and individual schedules. 
• Travel Expectations: 0-40%

The Opportunity

Clearsulting is developing a Data Engineering and Architecture practice that will extend our Office of the CFO capabilities, strengthen our AI offerings, and enable us to participate in broader enterprise data and transformation programs. We are seeking an entrepreneurial Data Engineering & Architecture Practice Lead to help define, build, and lead this capability. This is not a role with a fully prescribed service portfolio or operating model. The successful candidate will have the opportunity to shape the direction of the practice based on client demand, Clearsulting’s existing market position, developments in enterprise AI, and the 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 initial areas as the market develops. The Practice Lead will be responsible for identifying where Clearsulting can establish a differentiated position, translating that position into compelling client offerings, and building the people, methods, partnerships, and delivery capabilities required to scale.

What you'll do

• 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 position in the market.
  • 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
• • Drive practice growth by developing executive relationships, identifying client opportunities, and expanding 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,