Mendix
Senior Solutions Consultant, BFSI
United States · Senior
Sponsorship not specified$160k-$270kDetected 61 days ago
SnowflakeDatabricksCloud PlatformsMachine LearningData AnalysisData EngineeringData ScienceSalesCommunicationCollaborationPublic Speaking
About the role
- Siemens Intelligence Center X (ICX) combines enterprise knowledge graphs, AI and machine learning, and low-code application development to turn complex data into intelligence and action.
Responsibilities
- Lead discovery and qualification with business and technical stakeholders. Define the problem, success criteria, data and application landscape, regulatory and architectural constraints, customer sponsorship, data readiness, and path to value.
- Deliver tailored demonstrations, workshops, technical presentations, and proofs of concept.
- Adapt from executive value discussions to detailed technical evaluations, define evaluation criteria, coordinate resources, and document results that support a customer decision.
- Own the technical narrative throughout the sales cycle. Build trust with executive sponsors, technical champions, and practitioners
- and maintain continuity through handoff.
- Provide technical input for RFPs, RFIs, proposals, architecture reviews, security assessments, and other evaluation materials. Clarify scope, commitments, dependencies, and risks while helping the team maintain momentum.
- Stay current on BFSI priorities, regulatory developments, data and AI trends, and competitors. Strengthen account strategy, share field feedback, contribute reusable assets and enablement, and represent Siemens in customer, partner, and industry forums.
- Meaningful technical depth in at least one area: enterprise knowledge graphs, ontology design, and semantic technologies
- Lead discovery and qualification with business and technical stakeholders.
- Own the technical narrative throughout the sales cycle. Build trust with executive sponsors, technical champions, and practitioners; engage specialists and delivery resources when needed; and maintain continuity through handoff.
Requirements
- 5+ years in technical presales, solutions consulting, solutions engineering, or solution architecture supporting enterprise knowledge graph, data and AI/ML, or low-code and application-development platforms.
- You can demonstrate capabilities, answer detailed questions, and contribute hands-on during workshops or proofs of concept.
- Strong knowledge of enterprise data and application architecture, including cloud platforms, APIs and integration patterns, data pipelines, identity and access management, security, and deployment.
- You can assess how ICX fits within an existing environment and work credibly with architects, data teams, developers, security leaders, and platform owners.
Nice to have
- Experience with Graph Studio, AI Studio, or Mendix-or with relevant platforms such as Neo4j, TigerGraph, or Stardog
- Alteryx, Dataiku, or DataRobot
- OutSystems or Microsoft Power Platform
- and Snowflake, Databricks, or Microsoft Fabric.
- Experience with BFSI use cases such as fraud and financial crime, KYC, market surveillance, risk management, regulatory reporting, customer intelligence, trading, claims, or onboarding.
- Familiarity with ontology modeling, RDF or SPARQL, GraphRAG, model governance, or agent orchestration.
- A bachelor's degree or equivalent practical experience in computer science, data science, engineering, finance, or a related field.
- Relevant certifications or advanced degrees are valuable but not required.
Compensation
- Non-Discrimination Provision Siemens follows Executive Order 11246, including the Pay Transparency Nondiscrimination Provision.
Benefits
- data analytics, data science, machine learning, AI, and model operations
Company info
- Banking and financial services organizations have invested heavily in data, analytics, and AI, yet many still struggle to connect fragmented systems, create trusted institutional context, and move use cases into governed production.
Equal opportunity
- Statement Siemens is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace.
- All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.
- EEO is the Law Applicants and employees are protected under Federal law from discrimination.
- To learn more, Click here.
Visa & Work Authorization
- Define the problem, success criteria, data and application landscape, regulatory and architectural constraints, customer sponsorship, data readiness, and path to value.
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