Data Consultant

Job Title: Data Consultant - Banking & Financial Services

Location: Cleveland, Pittsburgh, Dallas

Employment Type: Full-Time

Role Summary We are looking for a Data Consultant with strong banking domain expertise and proven experience in management/technology consulting environments . The role will focus on translating business problems in banking and financial services into data-driven solutions, working closely with senior stakeholders, product teams, and engineering partners.

Key Responsibilities

• Partner with business and client stakeholders to understand banking use cases across Retail Banking, Wealth Management, Risk, Compliance, or Capital Markets
• Lead data-driven consulting engagements, including problem definition, solution design, and value realization
• Translate business requirements into analytics, reporting, and data platform requirements
• Work with data engineering and analytics teams to deliver end-to-end solutions
• Develop business cases, decks, and executive-ready insights for leadership and client presentations
• Support data strategy initiatives including data governance, quality, lineage, and operating models
• Drive adoption of analytics solutions by aligning them to business KPIs and outcomes

Required Skills & Experience

• 10+ years of overall experience with strong exposure to Banking / Financial Services
• Prior experience in consulting firms or consulting roles (Big 4, Tier-1/Tier-2 consulting, or internal consulting teams)
• Strong understanding of banking functions such as Wealth Management, Retail Banking, Risk & Compliance, AML, Reporting, or Data Governance
• Hands‑on experience working with data platforms, analytics solutions, and BI tools
• Ability to communicate complex data concepts to non-technical stakeholders
• Strong documentation, storytelling, and stakeholder management skills

Preferred / Nice to Have

• Exposure to cloud data platforms (AWS, Azure, GCP)
• Knowledge of regulatory reporting and data controls
• Experience with Agile delivery models