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Manager Of Data Science Jobs in Springville, IA (NOW HIRING)

Int Actuary Modeler

Cedar Rapids, IA ยท On-site

$80 - $100/hr

Leverage advanced knowledge of actuarial, financial, statistical, data science and/or balance sheet ... Apply risk management techniques and procedures, including the company's mandated risk ...

Int Actuary Modeler

Cedar Rapids, IA

$53.50 - $69.50/hr

Leverage advanced knowledge of actuarial, financial, statistical, data science and/or balance sheet ... Apply risk management techniques and procedures, including the company's mandated risk ...

Leverage advanced knowledge of actuarial, financial, statistical, data science and/or balance sheet ... Apply risk management techniques and procedures, including the company's mandated risk ...

AWS Data Engineer (Financial)

Cedar Rapids, IA ยท On-site

$112K - $134K/yr

Working knowledge of S3 bucket structures, data organization, lifecycle management, and integration with downstream analytics platforms. * Glue Jobs: To create Data Pipelines with ETL capabilities.

Leverage advanced knowledge of actuarial, financial, statistical, data science and/or balance sheet ... Apply risk management techniques and procedures, including the company's mandated risk ...

Showing results 41-60

Manager Of Data Science information

See Springville, IA salary details

$29.3K

$91.7K

$162.4K

How much do manager of data science jobs pay per year?

As of Sep 7, 2026, the average yearly pay for manager of data science in Springville, IA is $91,713.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,300.00 and $118,500.00 per year, depending on experience, location, and employer.

What is a manager of data science?

A Manager of Data Science is a leadership role responsible for overseeing a team of data scientists and analysts, guiding data-driven projects, and ensuring that business objectives are met through data analysis and modeling. They collaborate with stakeholders to identify business needs, design analytical solutions, and manage the end-to-end process of extracting insights from large datasets. In addition to technical expertise, this role requires strong leadership, project management, and communication skills to translate complex findings into actionable strategies.

How does a manager of data science typically balance hands-on technical work with team leadership responsibilities?

A Manager of Data Science often divides their time between overseeing project execution and supporting their team's professional growth. While they may still participate in high-level technical decision-making and occasionally contribute to code or modeling, much of their focus shifts to setting strategic direction, mentoring team members, and facilitating cross-functional collaboration. They are responsible for ensuring that projects align with business goals, providing technical guidance, and creating an environment where data scientists can thrive. Effective managers also spend time communicating with stakeholders to translate business needs into actionable data projects.

What are the key skills and qualifications needed to thrive as a manager of data science, and why are they important?

To thrive as a Manager of Data Science, you need advanced expertise in data analytics, machine learning, and statistical modeling, typically backed by a degree in a quantitative field and prior experience in data science roles. Familiarity with tools like Python, R, SQL, cloud platforms (e.g., AWS, Azure), and project management systems is essential, and certifications such as Certified Analytics Professional (CAP) can be valuable. Strong leadership, communication, and problem-solving skills help in guiding teams, translating business needs into data solutions, and fostering collaboration. These skills and qualities are crucial for delivering actionable insights, driving innovation, and ensuring successful data-driven strategies in complex organizational environments.

What is the difference between Manager Of Data Science vs Data Scientist?

AspectManager Of Data ScienceData Scientist
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often leadership experienceBachelor's or Master's in Data Science, Statistics, or related field; strong technical skills
Work EnvironmentOversees teams, manages projects, collaborates with stakeholdersFocuses on data analysis, model development, and technical problem-solving
Employer & Industry UsageUsed in organizations with data teams, analytics departmentsCommonly employed in tech, finance, healthcare, and research sectors

The main difference between a Manager Of Data Science and a Data Scientist is the level of responsibility. Managers oversee teams and strategic initiatives, while Data Scientists focus on technical data analysis and model building. Both roles require strong analytical skills, but the Manager role emphasizes leadership and project management.

Director, Data Analytics & Insights

GreatAmerica Financial Services

Cedar Rapids, IA โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday


Job description

GreatAmerica Financial Services is a highly successful entrepreneurial company providing equipment financing to businesses across the United States. Our exemplary customer service, our principle-centered business philosophy and our team-based operating approach are key to our success and growth.

We are looking to add a key member to our Data Team!

The Director, Data,Analyticsand Insightsis responsible forleading data and analytics strategy for enterprise analytics and customer insights that drivethe futureperformanceof our businessand are enabled through scalable data capabilities. This role owns the strategy to deliver data, analytics, and insights to key stakeholders, including high-quality insights and key decision support, as well as the analysis of tradeoffs. Additionally, this leader partners with key stakeholders to deliver modern data products andestablisha strong data-driven culture across the organization. In partnership with Technology, this role ensures data assets, reporting, and analytic solutions are aligned with evolving enterprise priorities and plays a key role in leading and supporting the efforts of our Product teams.

As the Director, Data Analytics & Insights, you will:

Strategy & Business Impact

  • Defines and executes an enterprise data & analytics strategy aligned to business priorities

  • Leads and partners with executive leadership and key stakeholders to identify and prioritize high-value data and analytics initiatives across the enterprise, balancing requests from Product and non-Product teams, and partnering closely with the SVP of Operations to align efforts with product strategy, customer impact, and overall business priorities for growth, efficiency, and risk management.

  • Establishes and evolves the operating model for enterprise analytics, including intake, prioritization, governance, and capacity planning, to ensure resources are aligned to the highest-value business opportunities.

  • Develops a deep understanding of our customers and how our businessoperatesto ensure data and analytics efforts are aligned with real-world needs, operational drivers, and opportunities to enhance customer experience and performance.

  • Builds strong partnerships across Product, Operations, Technology, Finance, Risk, Legal, Compliance, and other key functions to align analytics priorities, data practices, and decision support with enterprise needs.

  • Establishes success metrics (adoption, business impact, decision velocity) and drives measurable outcomes from analytics investments

Enterprise Analytics

  • Own,Develop andmaintainexecutive dashboards and KPIs that provide clear visibility into enterprise performance (e.g., enterprise activity dashboard, ROA analysis).Suggest actions and outcomes based on results.

  • Identifytrends, patterns, and emerging risks to inform proactive decision-making.

  • Synthesize and communicate the enterprise performance story to executive leadership.

  • Translates complex data into clear executive narratives, recommendations, and decision support for senior leadership and board-level discussions.

  • Define and track metrics to measure the outcomes andimpactof strategic initiatives.

Customer Insights

  • Lead customer segmentation to better understand distinct customer groups and value drivers.

  • Develop and refine customer lifetime value models to inform growth and investment decisions.

  • Analyze customer behavior to uncover insights that drive engagement, retention, andability to sell multiple products.

  • Partner with Sales and Operations onVoice of the Customer programsto translate themes/data to outcomes that drive incremental value to our customers.

  • Deliver retention and growth analytics toidentifyopportunities to improve customer loyalty and expand relationships.

Data Products & Insights Delivery

  • Champions scalable self-service analytics capabilities, design standards, and data literacy efforts that enable leaders and teams to confidently use data in day-to-day decision-making.

  • Partners with advanced analytics and data science teams to operationalize insights and integrate predictive capabilities into business processes

  • Ensures consistent definitions, metrics governance, and trusted data sources across the enterprise

Data Governance

  • Partners across business and technology teams to strengthen enterprise data governance practices, including stewardship, data quality, metadata, lineage, access controls, and consistent use of trusted data assets.

  • Applies enterprise data definitions and governance standards

  • Partners with Data Governance to ensure data quality and consistency

  • Leverages governed data assets to deliver insights

People Leadership & Talent Strategy

  • Leads, develops, and scales a high-performing analytics organization (BI, analysts, and potentially data product roles)

  • Establishes role clarity, career paths, and capability models across analytics disciplines

  • Oversees hiring, performance management, and succession planning for the function

  • Builds enterprise data literacy through structured enablement and training programs

To be successful in the role, you will need:

Education

  • Bachelor's degree in BusinessAnalytics, Finance, Math, Information Systems, Statistics, or relevant field

Experience

  • 8+ years of experience in data, analytics, or business intelligence roles

  • 5+ years of experience leading teams or enterprise-level initiatives

  • Experience defining and executing data & analytics strategies at scale

  • Experience partnering with senior business leaders and driving cross-functional outcomes

  • Experience working in an agile or product-based delivery model preferred

  • Experiencewith modern BI and analytics platforms (e.g., Tableau, Power BI, etc.)

  • Workingknowledge of data querying and data models (SQL or equivalent)

  • Familiarity with data architecture concepts, pipelines, and analytics ecosystems


Skills and Abilities

  • Experience working within modern cloud-based data and analytics ecosystems and partnering with technology teams on scalable data platform capabilities preferred.

  • Strong business acumen with ability to translate data into actionable insights

  • Ability to balance strategic leadership with operational execution

  • Strong prioritization and decision-making skills

  • Extensive experience with data visualization tools such as Tableau, QlikView, PowerBIetc.

  • Experience with Microsoft SQL and ability toacquiredata sets via moderately complex queries

  • High levelofproficiencywith Microsoft Office suite

  • Experience with reporting capabilities withinSalesForcea plus

  • Strong business acumen with the desire to understand the core drivers of business behaviors

  • Sense of accountability for thetimelydelivery ofhigh quality, consistentinformation visualizationat the enterprise level

  • Accountability for delivering measurable business value from analytics investments

  • Ability tooperatein a fast-paced, evolving environment while driving organizational change

Sharing rewards is an integral part of our culture. We believe in the value of hard work and reward our employees beyond the paycheck. Our total rewards package is based on eligibility and includes:

Financial Benefits

  • Competitive Compensation
  • Monthly Bonuses for Eligible Employees
  • 401(k) and Company Match
  • Annual Profit Sharing
  • Paid Time Off

Health, Wellbeing, and Family Planning Benefits

  • Paid Vacation - starting at 80 hours annually for employees in their first year of service.
  • Paid Sick Days - Ten (10) per year with a conversion option for unused time.
  • Ten (10) Paid Holidays per year
  • Gym Reimbursement
  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • Short-Term and Long Term Disability
  • Company Paid Life Insurance
  • Flexible Spending Accounts (FSA)
  • Health Savings Accounts (HSA)
  • Employee Assistance Program
  • Parental Leave

Education and Career Planning Benefits

  • Tuition Assistance
  • Networking Opportunities
  • Leadership Development Opportunities

Perks

  • Paid Parking
  • Service Awards
  • Hybrid work arrangements
  • Business casual environment
  • A strong organizational culture focused on our greatest asset: you!

If your experience aligns closely, please apply. We value diverse backgrounds and adding new perspectives. We encourage you to apply if you can make a strong impact in this role at www.greatamerica.com/careers.

Please note, applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa.