Senior Solutions Consultant, BFSI

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Solutions Consultant, BFSI based in the United States.

This is a unique opportunity to join a rapidly growing presales organization at the forefront of AI, data intelligence, and low-code innovation within the banking and financial services industry. In this strategic, customer-facing role, you will guide enterprise organizations through complex digital transformation initiatives, helping them unlock value from fragmented data ecosystems and accelerate AI adoption. Working closely with business leaders, architects, and technical teams, you will design and validate innovative solutions that address critical industry challenges such as risk management, compliance, fraud prevention, and customer intelligence. The position offers significant exposure to executive stakeholders, cutting-edge technologies, and high-impact projects in a collaborative and fast-paced environment. It is ideally suited for professionals who combine deep technical expertise with strong consultative and communication skills.

Accountabilities:: Lead discovery and qualification engagements with business and technical stakeholders to identify challenges, define success criteria, and assess organizational readiness for transformation initiatives.

Design and architect tailored solutions that integrate AI, analytics, low-code applications, knowledge graphs, and existing enterprise systems.

Deliver customized demonstrations, workshops, proof-of-concepts, and technical presentations that clearly articulate business value and technical capabilities.

Own the technical strategy throughout the sales cycle, serving as a trusted advisor to executive sponsors, technical champions, and delivery teams.

Support RFPs, RFIs, proposals, architecture assessments, and security evaluations by providing technical expertise and strategic guidance.

Collaborate with internal specialists and cross-functional teams to ensure alignment, maintain momentum, and facilitate successful solution adoption.

Stay informed on emerging trends in financial services, AI, data management, and regulatory requirements to strengthen customer engagements and market positioning.

Contribute to reusable assets, enablement initiatives, thought leadership activities, and participation in customer and industry events.

Build strong relationships across customer organizations and establish credibility with both executive and technical stakeholders.

Requirements

Minimum of 5 years of experience in technical presales, solutions consulting, solution engineering, or solution architecture roles.

Direct experience working with banking, financial services, insurance, fintech, payments, wealth management, or capital markets organizations.

Strong expertise in at least one of the following areas: enterprise knowledge graphs, semantic technologies, AI and machine learning, analytics platforms, or low-code application development.

Solid understanding of enterprise architecture principles, including cloud platforms, APIs, integrations, data pipelines, identity management, security, and deployment strategies.

Proven ability to translate complex technical concepts into clear business outcomes and communicate effectively with both technical and executive audiences.

Experience leading workshops, proof-of-concepts, and technical evaluations in complex enterprise environments.

Strong consultative selling skills with the ability to manage multiple opportunities simultaneously and work effectively with limited supervision.

Familiarity with technologies such as Neo4j, TigerGraph, Stardog, Dataiku, DataRobot, Alteryx, Snowflake, Databricks, Microsoft Fabric, Microsoft Power Platform, or similar solutions is advantageous.

Knowledge of financial services use cases including fraud detection, financial crime, KYC, risk management, regulatory reporting, customer intelligence, onboarding, or market surveillance is highly desirable.

Familiarity with ontology modeling, RDF, SPARQL, GraphRAG, model governance, or agent orchestration frameworks is considered a strong asset.

Bachelor's degree in Computer Science, Data Science, Engineering, Finance, or a related field, or equivalent practical experience.

Ability and willingness to travel up to 50% as required.

Benefits

Competitive compensation package with an on-target earnings range of $160,000 to $270,000 , including a performance-based incentive structure.

Opportunity to work with innovative AI, analytics, and low-code technologies that are shaping the future of enterprise transformation.

Exposure to large-scale, strategic initiatives across leading financial institutions and global enterprises.

Collaborative, international, and innovation-driven work environment with strong opportunities for professional growth.

Access to ongoing learning, enablement programs, and career development opportunities.

Flexible and inclusive workplace culture that values diversity, creativity, and continuous improvement.

Opportunity to engage with senior executives, industry leaders, and strategic partners on high-impact projects.

Comprehensive employee benefits package, including healthcare, retirement programs, and additional wellness offerings in accordance with company policies.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1