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SunnyData

Senior Account Executive – Financial Services

SunnyData

. Manage the full sales cycle .

Posted 11/9/2026full-timeRemote • United States, Uruguay, Argentina, MexicoSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in managing the full sales cycle, generating new sales, and achieving revenue targets while building strong client relationships. Proficient in consultative selling with a focus on data transformation and AI solutions, leveraging partnerships with key technology providers.

Highest-signal resume keywords
10+ Years In Consulting SalesStrong Record Of Exceeding GoalsTechnical Fluency For Consultative SellingAbility To Build Relationships With Senior StakeholdersBackground In Financial Services

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Sales Cycle ManagementRevenue GenerationData Transformation SolutionsAI SolutionsPipeline DevelopmentForecasting AccuracyMulti-Channel CampaignsConsultative SellingStrategic PartnershipsStakeholder Relationship Management
Soft Skills
Strong Written CommunicationVerbal CommunicationPresentation SkillsInfluencing SkillsCuriosity
Tools & Technologies
DatabricksMicrosoft AzureFivetran
Industry Keywords
CloudDataAIFinancial ServicesSales Discipline

Tech Stack

Tools & technologies
AzureCloud

About the role

Key responsibilities & impact
  • Manage the full sales cycle
  • Generate new sales and achieve revenue targets
  • Manage client relationships end to end
  • Collaborate with Databricks, Microsoft Azure, and Fivetran to co-sell and deliver data transformation and AI solutions
  • Build pipeline through research, networking, cold outreach, and securing meetings with key stakeholders
  • Run multi-channel campaigns across calls, email, social media, and events
  • Build brand presence and create opportunities within the territory
  • Develop pursuit strategies and lead deals through the full buying cycle
  • Expand wins into multi-million-dollar strategic partnerships
  • Align sales, delivery, and customer success
  • Partner with solutions engineers and marketing on tailored proposals
  • Manage complex enterprise stakeholder relationships with executives, budget owners, and key decision-makers
  • Maintain pipeline hygiene and forecasting accuracy
  • Meet or exceed revenue goals across Data Engineering, Platform Modernization, and AI/ML Consulting

Requirements

What you’ll need
  • 10+ years in consulting sales, solution delivery, or technical roles
  • Ideally, exposure to cloud, data, or AI
  • Strong record of exceeding goals
  • Business insight, sales discipline, and technical fluency for consultative selling
  • Ability to identify obstacles and position solutions effectively
  • Initiative and proactive resource use
  • Accountability for results and outcome orientation
  • Ability to build authentic, lasting relationships with senior stakeholders
  • Strong written, verbal, and presentation skills
  • Ability to influence technical and executive audiences
  • Curiosity and self-motivation
  • Ability to stay current on industry trends and thrive in fast-paced, high-growth environments
  • Background prospecting and building a customer base in the Financial Services industry
  • Up to 30% travel depending on client and partner engagement needs
  • 4-year bachelor’s degree preferred
  • Must be legally authorized to work in the United States
  • Must not require employer sponsorship to obtain or maintain authorization to work in the United States

Benefits

Comp & perks
  • Health insurance for employees and eligible family members, including spouses, domestic partners, and children, from the first day of employment
  • Minimum of 15 days paid time off annually
  • Nine paid company holidays
  • Opportunity to grow technical and people skills
  • Opportunities to lead teams on complex, innovative customer projects
  • Career growth opportunities
  • Professional development and career advancement
  • Collaborative culture and knowledge sharing
  • Performance-based cash incentive awards
  • Work with cutting-edge technologies and industry leaders in data engineering and AI