What are the responsibilities and job description for the SVP - Data Management Interlock Lead position at EXL?
SVP - Data Management Interlock Lead
Cross Industry
Ideally EST - New York Metro
About EXL:
EXL, from our beginnings in business process services to becoming a global leader in data and AI, EXL brings 25 years of proven expertise helping enterprises transform and redefining what's possible for our clients.
We partner with leading companies in insurance, healthcare, banking and capital markets, retail, media and communications, and energy and infrastructure to reimagine business models, deliver measurable outcomes, and accelerate innovation. While nearly 70% of enterprise AI initiatives fail, EXL consistently delivers a 90% success rate by integrating deep industry knowledge, robust data and analytics capabilities, and cutting-edge AI implementation in client workflows—turning complexity into value at scale.
At EXL, innovation isn't just a buzzword—it's how we solve complex challenges and create lasting value. By integrating cutting-edge technologies like machine learning, AI, and cloud computing, we enable our clients to stay ahead of the curve. Whether it's revolutionizing customer experiences, streamlining back-office operations, or uncovering new revenue streams, innovation fuels everything we do.
About the Job:
As an SVP-Data Management Interlock Lead, you will lead the sales and growth focus for our data management offerings. This role is central to driving data modernization, helping clients create value from unstructured data, identifying and converting data-driven solution and IP opportunities, and managing large, multi-disciplinary teams across industries including insurance, healthcare, banking, retail, travel, utilities and others.
The ideal candidate brings strong commercial acumen, deep data domain expertise, and experience overseeing large-scale delivery for complex client engagements across geographies.
Key areas of responsibilities include:
- Revenue and Sales Growth Strategy
- New client acquisition and market engagement
- Build client relationship and expand opportunities
- Data Strategy & Practice Leadership
- Client Solutioning & Innovation
- Portfolio Oversight & Delivery
Qualifications:
- 20 years of experience scaling data management practices within a global consulting or IT services firm.
- 20 years of experience in data-related project delivery, including 10 years in a leadership or delivery management role.
- Demonstrated success managing large, complex data programs for Fortune 500 clients across industries.
- Proven ability to solution, sell, and deliver multi-million dollar data engagements.
- Ability to oversee the technical aspects of data value chain
- Understand data ecosystem – data strategy aligning with business goals, data governance, quality, medallion architecture, and so on
- Oversee the design and implementation of modern data platforms
- Experience with the key elements of data lifecycle while designing and recommending data solutions to clients
- Experience with scalable data architectures
- Integration of various data sources, ensuring that data is collect
- Data Security and Compliance: Ensure that data systems comply with relevant security and privacy regulations, including GDPR, HIPAA, etc., and are secure from threats.
- Proven experience in winning and delivering accounts within the data management domain or similar industries.
- Excellent knowledge of data engineering, data warehousing, data lakes, cloud platforms (e.g., AWS, Azure, GCP), and data governance frameworks.
- Experience with Agile, Scrum, and/or hybrid project management methodologies
- Leadership, communication, and stakeholder engagement skills
- Proven ability to lead cross-functional teams in a matrixed environment.
- Bachelor's or master's degree in data science, Information Technology, Business Administration, or related field.