Q2
Financial Technology
SeniorDataIntelligenceSolutionsArchitect
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Intelligence Solutions Architect at Q2. Skills: Data Architecture, AI-enabled operations, Analytics Platforms, Solution Architecture. Design scalable data architecture. Build enterprise data models”
What You'll Achieve.
Improve visibility; Improve decision-making; Improve operational efficiency; Support Support initiatives; Support Product initiatives; Support Engineering initiatives; Support Workforce Management initiatives; Support Customer Health initiatives; Reduce fragmentation; Enable proactive decision-making; Improve customer outcomes; Drive operational scalability; Create operational predictability; Create operational visibility; Enable continuous improvement; Reduce manual overhead; Improve scalability
Industry & Context.
Systems-thinking skills
What They're Looking For.
Must Have
Bachelor's degree and 12+ years of related experience, Advanced degree with 8+ years, Experience in Data Architecture, Experience in Data Engineering, Experience in Solution Architecture, Experience in AI-enabled operations, Experience in Business Intelligence, Proven experience designing enterprise data solutions, Proven experience designing operational analytics platforms, Proven experience designing scalable reporting architectures, Experience developing AI-enabled solutions, Experience developing automation frameworks, Experience developing predictive analytics platforms, Solid understanding of enterprise system integrations, Solid understanding of APIs, Solid understanding of workflow automation, Solid understanding of operational tooling, Experience with cloud-based data platforms, Experience with enterprise analytics, Experience with reporting tools, Hands-on experience with Power BI, Hands-on experience with Tableau, Hands-on experience with Snowflake, Hands-on experience with SQL, Hands-on experience with Python, Hands-on experience with Databricks, Hands-on experience with Azure, Hands-on experience with AWS, Hands-on experience with GCP, Experience integrating data across CRM, Experience integrating data across contact center platforms, Experience integrating data across support platforms, Experience integrating data across incident management platforms, Experience integrating data across workforce management platforms, Analytical and systems-thinking skills, Track record of cross-functional collaboration, Ability to translate technical concepts into business outcomes, Comfortable managing multiple priorities
Nice to Have
Experience in enterprise SaaS, Experience in FinTech, Experience in Customer Experience organizations, Experience designing AI-enabled operational intelligence platforms, Experience designing customer experience analytics platforms, Knowledge of contact center analytics, Knowledge of conversational AI, Knowledge of sentiment analysis, Knowledge of quality monitoring systems, Background in operational transformation, Background in workforce optimization, Background in incident management, Background in customer health programs, Experience with ML models, Experience with predictive analytics, Experience with workflow orchestration, Experience with AI-assisted decision frameworks
What You'll Do.
Design scalable data architecture
Build enterprise data models
Maintain enterprise data models
Maintain integrations
Architect AI-enabled solutions
Partner with Insights & Analytics
Build predictive models
Collaborate cross-functionally
Ensure system integration alignment
Ensure operational readiness
Drive visibility into SLA adherence
Drive visibility into customer health
Drive visibility into workforce demand
Drive visibility into escalation trends
Drive visibility into support performance
Identify AI opportunities
Implement AI opportunities
Identify automation opportunities
Implement automation opportunities
Establish data governance standards
Establish data quality practices
Establish reporting consistency
Provide architectural leadership
Produce technical roadmaps
Produce architectural documentation
Produce strategic recommendations
Champion operational excellence
Champion continuous improvement
How You'll Work.
Team & Collaboration
Cross-functional collaboration; Partner with Operations Support; Partner with Insights & Analytics; Partner with Incident Management; Partner with Engineering; Partner with Product; Partner with Workforce Management; Partner with executive leadership
Communication Scope
Translate technical concepts; Business outcomes communication
Full Job Description
# **As passionate about our people as we are about our mission.** **_Why Join Q2?_** Q2 is a leading provider of digital banking and lending solutions to banks, credit unions, alternative finance companies, and fintechs in the U.S. and internationally. Our mission is simple: build strong and diverse communities through innovative financial technology—and we do that by empowering our people to help create success for our customers. **_What Makes Q2 Special?_** Being as passionate about our people as we are about our mission. We celebrate our employees in many ways, including our “Circle of Awesomeness” award ceremony and day of employee celebration among others! We invest in the growth and development of our team members through ongoing learning opportunities, mentorship programs, internal mobility, and meaningful leadership relationships. We also know that nothing builds trust and collaboration like having fun. We hold an annual Dodgeball for Charity event at our Q2 Stadium in Austin, inviting other local companies to play, and community organizations we support to raise money and awareness together. **SUMMARY** We are seeking an innovative and technically skilled Sr. Data Intelligence Solutions Architect to join the Employee & Experience Enablement (E3) organization. This role will be responsible for designing and enabling scalable data, analytics, automation, and AI-driven operational solutions that improve visibility, decision-making, and operational efficiency across the Customer Experience ecosystem. The ideal candidate brings deep expertise in data architecture, AI-enabled operational solutions, analytics platforms, workflow automation, and enterprise system integration. This individual will serve as a strategic technical leader responsible for transforming operational data into actionable intelligence that supports Support, Product, Engineering, Delivery, Workforce Management, and Customer Health initiatives. As part of the E3 operating model, this role will
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