RGP is hiring a Director, Data Platform & Integration to help grow and deliver work across our Digital Build & Integration practice.
This person will drive sales, serve as the solution architect for data platform and integration opportunities, and provide technical leadership through delivery. The right candidate brings senior-level depth across the full enterprise data lifecycle and the consulting experience to turn complex, cross-platform data challenges into solutions that can be sold, scoped, built, and expanded. They operate with a system-level perspective from ingestion and integration through modeling and consumption, and they carry that perspective into every client conversation.
This is a client-facing role for someone who can move fluidly between architecture-level conversations with enterprise data architects and business-level conversations with CIOs, CDOs and data platform owners, independently shape engagements, and stay accountable for technical quality once the work is sold.
Base Pay Range: $170,000 - $213,000
Other Compensation: Incentive Compensation
What You Will Work On
- Drive new and expanded client work for the practice, with a focus on data platform, Master Data Management, and enterprise integration engagements.
- Build relationships with senior client stakeholders including CDOs, enterprise architects, VPs of Data, and data platform owners across financial services, healthcare, and enterprise accounts.
- Lead technical sales conversations from discovery through solutioning, proposal, close, delivery, and expansion, operating as the primary technical voice in pursuit situations.
- Serve as the solution architect for data platform and integration engagements, owning the technical approach from first conversation through delivery.
- Define architecture direction, platform fit, integration strategy, operational data model design, assumptions, risks, and pricing inputs across environments including Databricks, Snowflake, Azure Data Factory, Microsoft Fabric, and Azure Data Lake.
- Bring a system-level perspective across the full data lifecycle, including ingestion, orchestration, integration, MDM, service-layer architecture, modeling, and consumption, to ensure solutions are coherent end to end and not just technically competent in isolation.
- Translate complex, cross-platform data challenges into clear solution paths that CDOs, enterprise architects, and business stakeholders can understand, evaluate, and commit to.
- Create and present proposals, estimates, solution narratives, executive recommendations, technical approaches, and delivery recommendations.
- Provide technical leadership during delivery, including architecture decisions, solution direction, technical risk management, and quality of outcomes.
- Guide delivery team members on technical approach and platform standards, stepping in to resolve architecture-level issues that affect scope, feasibility, or client confidence.
- Use AI-native development approaches to rapidly explore, prototype, and validate solutions, converting ambiguous client needs into executable, high-value work faster than traditional discovery and design cycles allow.
- Identify expansion opportunities through strong delivery, client trust, and a clear understanding of the client's broader data ecosystem needs.
- Build reusable sales assets, solution frameworks, demos, estimation models, and delivery approaches that strengthen the practice's ability to pursue and close data platform work.
What You Will Bring
- 10+ years of experience designing and delivering enterprise data platform solutions, including data pipelines, MDM implementations, service-layer integrations, and cloud data migrations.
- 10+ years of experience in a professional services, consulting, systems integration, or client-facing delivery environment.
- Deep, hands-on technical expertise across the full data lifecycle, with specific platform depth in two or more of the following: Databricks, Azure Data Factory, Snowflake, Microsoft Fabric, and Azure Data Lake.
- Strong command of enterprise MDM patterns, service-layer integration architecture, and operational data model design in complex, multi-system environments.
- Demonstrated ability to operate with a system-level perspective across ingestion, orchestration, modeling, and consumption layers, with the judgment to identify where architectural decisions in one layer create risk or constraint in another.
- Proven ability to drive technical sales conversations independently with CDOs, enterprise architects, and data platform owners, including diagnosing the real problem, framing a solution, and advancing the opportunity through to close.
- Comfortable moving between technical depth and business language in the same conversation, adjusting altitude without losing credibility at either level.
- Track record of delivering large-scale data platform programs end-to-end with the delivery experience to know what makes an architecture realistic versus aspirational.
- Hands-on experience using AI-native tooling to accelerate data platform delivery work, including pipeline scaffolding, schema and model generation, integration documentation, or automated data quality validation.
- Prior delivery experience in financial services, healthcare, or other regulated industries where data governance, auditability, and compliance constraints shape platform and integration decisions is desirable.
- Familiarity with federated data governance models, data mesh architecture, or enterprise data product strategies as applied to large, multi-domain environments is also desirable.
What You Can Expect
- An inspirational place for you to do your best work, be engaged in meaningful ways, and continually develop the skills, competencies and qualities that set our team apart.
- Compensation commensurate with your qualifications, experience, and other factors, including geographic location, market and operational factors.
- Total Rewards based on eligibility include: Medical, Dental, Vision, Life Insurance, Disability Insurance, 401(k) Savings Plan, Employee Stock Purchase Plan, Professional Development Program, Paid Time Off, Paid Holidays and Paid Sick Time (in geographies where legally required).
