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Executive Data Scientist Jobs in Indiana (NOW HIRING)

Bachelor's Degree in Computer Science, Data Science, Software Engineering, or a related ... Experience working directly with Product and Executive teams to translate business questions into ...

Bachelor's Degree in Computer Science, Data Science, Software Engineering, or a related ... Experience working directly with Product and Executive teams to translate business questions into ...

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Executive Data Scientist information

See Indiana salary details

$43.8K

$157K

$231.7K

How much do executive data scientist jobs pay per year?

As of Aug 23, 2026, the average yearly pay for executive data scientist in Indiana is $157,025.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,000.00 and $161,800.00 per year, depending on experience, location, and employer.

What is an executive data scientist?

An Executive Data Scientist is a senior-level professional who leads data science initiatives within an organization. They are responsible for setting strategic direction, overseeing large-scale data projects, and bridging the gap between technical data teams and business leadership. Their role involves not only advanced analytics and modeling but also communicating insights to stakeholders and ensuring data-driven decisions align with business goals. Executive Data Scientists often manage teams, influence company data strategy, and play a key role in driving innovation and digital transformation.

How does an executive data scientist typically collaborate with leadership and cross-functional teams?

Executive Data Scientists play a strategic role by bridging the gap between data science teams and organizational leadership. They regularly translate complex analytical insights into actionable business recommendations for executives, and work closely with stakeholders across departments such as IT, marketing, and operations. This collaboration ensures that data-driven initiatives align with business objectives and that projects receive the resources and support needed for success. Effective communication and stakeholder management are key aspects of the role, as is mentoring junior data scientists and fostering a culture of innovation.

What are the key skills and qualifications needed to thrive as an executive data scientist, and why are they important?

To thrive as an Executive Data Scientist, you need advanced expertise in data analytics, machine learning, and statistical modeling, usually backed by a master's or PhD in a quantitative field. Familiarity with big data platforms (like Hadoop or Spark), programming languages (Python, R), and data visualization tools, along with certifications such as Certified Analytics Professional (CAP), is highly valued. Leadership, strategic thinking, and the ability to communicate complex insights to non-technical stakeholders are crucial soft skills for this role. These skills ensure effective data-driven decision-making at the executive level, driving business innovation and competitive advantage.

What is the difference between Executive Data Scientist vs Data Scientist?

AspectExecutive Data ScientistData Scientist
CredentialsAdvanced degrees (Master's/PhD), leadership experienceBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentStrategic roles, leadership teams, executive meetingsData analysis, model development, technical tasks
Employer & Industry UsageSenior roles in tech, finance, healthcare, and large enterprisesStartups, tech companies, research institutions

Executive Data Scientists focus on strategic decision-making and leadership, often overseeing data teams and aligning data initiatives with business goals. Data Scientists primarily handle technical data analysis, modeling, and insights generation. While both roles require strong analytical skills, Executive Data Scientists combine technical expertise with leadership and strategic planning, making them suitable for senior management positions.

What are the most commonly searched types of Data Scientist jobs in Indiana?

The most popular types of Data Scientist jobs in Indiana are:

Director of Marketing Analytics and Data Science (Digital Marketing Leader)

Indiana University

Bloomington, IN โ€ข On-site

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 22 days ago


Job description

Indiana University is seeking a Director of Marketing Analytics and Data Science to drive institutional outcomes by leading the use of data and analytics in designing, measuring, and improving audience experiences across a complex, multi-campus environment. Positioned within the Web and Digital Strategy team within University Communications and Marketing (UCM), this role collaborates closely with experts in marketing and communications, information technology, and higher education to ensure experiences are intentionally designed and informed by data.
Department Specific Responsibilities
  • Reports to the Executive Director of Web and Digital Strategy, the Director of Audience Experience leads the Audience Experience (AX) function.
  • Responsible for omnichannel audience insights, analytics, research, and forecasting.
  • Advances IU's experience engineering and data strategy by transforming data from a reporting function into a strategic capability enabling predictive and prescriptive analytics that guide university strategy, inform decisions, and drive outcomes such as enrollment, engagement, retention, and revenue.
  • Provides strategic leadership within UCM, ensuring data is translated into clear, actionable guidance that supports institutional goals and decision-making.
  • Builds and advances an analytics maturity model-leading a transition from descriptive and diagnostic analytics to predictive and prescriptive analytics, including forecasting, modeling, and outcome-oriented recommendations.
  • Operationalizes IU's experience engineering framework by aligning data with constituent lifecycle stages, triggers, gates, and customer journey orchestration across owned and paid channels.
  • Collaborates with subject matter experts across marketing functions to understand business needs and improve the ability to measure and optimize work.
  • Evangelizes a culture of data strategy and curiosity across the organization.
  • Applies advanced quantitative and analytical techniques (e.g., regression analysis, statistical modeling, A/B testing, multivariate experiments) to complex, multi-source datasets to understand audience behavior, performance, and opportunity.
  • Leads and develops a multidisciplinary Audience Experience team, including data engineering and data visualization specialists, fostering analytical rigor, collaboration, and continuous improvement.
  • Partners with staff to ensure scalable data pipelines, Extract, Transform, Load (ETL) processes, and centralized access to channel, audience, and institutional data that support segmentation, personalization, visualization, and analysis.
  • Collaborates across UCM, campuses, and functional areas to align analytics priorities, enable shared understanding of performance, and support insight-driven planning and investment.
  • Champions ethical, compliant, and responsible data practices, including data governance, privacy, security, and quality standards.
  • Monitors and leads through emerging trends in analytics, data science, and AI to inform continuous improvement and future-state strategy (cookie-less ecosystem, ubiquity of AI, etc.).
General Responsibilities
  • Directs operations for the digital marketing function by providing oversight and direction within a department, large multi-faceted department, or multiple departments.
  • Hires, trains, evaluates, coaches, assigns work, sets goals and objectives, determines staffing needs, and directs the work of a team of digital marketing staff.
  • Manages relationships with various internal and external stakeholders; determines digital marketing needs, projects, and programs to align with objectives and goals and manages processes such as the development of communications timelines related to such initiatives.
  • Reviews drafts of digital marketing strategies, content, and projects and coaches on grammar, tone, branding guidelines, formatting, and other elements that may affect the perception of messaging or reputation of the department.
  • Responds to escalated and complex inquiries and requests and explains policies, procedures, and context of communications.
  • Assists in budget planning and administration for digital marketing initiatives, including expenditures, revenue projections, and program costs.
  • Monitors industry trends and best practices, makes process and operational and strategic recommendations to manager, and assists in implementing recommendations to optimize operations and progress toward objectives.
  • May provide guidance to lower-level Digital Marketing Leaders.
Qualifications
Combinations of related education and experience may be considered. Education beyond the minimum required may be substituted for work experience. Work experience beyond the minimum required may be substituted for education.
EDUCATION
Required
  • Bachelor's degree in communications, journalism, English, public relations, data science, computer science, informatics, information systems, marketing, or related fields.
Preferred
  • Master's degree in data science, computer science, informatics, information systems, marketing, or related fields.
WORK EXPERIENCE
Required
  • 4 years in relevant field.
  • 1 year of management experience in relevant field.
Preferred
  • 7 years of progressive responsibility in analytics, data strategy, audience insights, or a related field within a complex organization.
SKILLS
Required
  • Proficient communication skills.
  • Maintains a high degree of professionalism.
  • Demonstrates time management and priority setting skills.
  • Demonstrates a high commitment to quality.
  • Excellent organizational skills.
  • Excellent collaboration and team building skills.
  • Effectively coaches and delivers constructive feedback.
  • Instills commitment to organizational goals.
  • Demonstrates excellent judgment and decision making skills.
  • Effective conflict management skills.
  • Builds and manages effective teams.
Preferred
  • Advanced quantitative and analytical skills, with demonstrated experience performing regression analysis, forecasting, statistical modeling, and multivariate analysis.
  • Strong understanding of analytics maturity models and the ability to guide organizations from reporting-focused analytics toward insight-, foresight-, and outcome-driven decision-making.
  • Ability to connect analytical work to concrete business or institutional outcomes, including revenue generation, enrollment, retention, and engagement.
  • Strong systems-thinking mindset, with the ability to integrate data across marketing channels, Customer Relationship Management (CRM) platforms, and institutional systems.
  • Familiarity with digital marketing and audience data ecosystems (e.g., GA4, CRM/CDP platforms, marketing automation, data visualization tools).
  • Data storytelling the ability to translate complex analytical findings into clear, compelling narratives and recommendations for senior leaders and non-technical stakeholders .
  • Demonstrated success leading through influence and partnership in decentralized or matrixed environments.
  • Experience leading or mentoring multidisciplinary teams that include analytics, data engineering, and data visualization roles.
  • Familiarity with higher education context.
Working Conditions / Demands
This role requires the ability to effectively communicate and to operate a computer and other standard office productivity equipment. The position involves sedentary work as well as periods of time moving around an office environment and the campus. The person in this role must be able to perform the essential functions with or without an accommodation.
Work Location
Bloomington, Indiana or Indianapolis, Indiana.
Benefits Overview
For full-time staff employees, Indiana University offers a wide array of benefits including:
  • Comprehensive medical and dental insurance
  • Health savings account with generous IU contributions
  • Healthcare and dependent care flexible spending accounts
  • Basic group life insurance paid by IU
  • Voluntary supplemental life, long-term disability, critical illness, and supplemental accidental death & dismemberment insurance
  • Base retirement plan with generous IU contributions, subject to vesting
  • Voluntary supplemental retirement plan options
  • Tuition subsidy for employees and family members taking IU courses
  • 10 paid holidays plus a paid winter break each year
  • Generous paid time off plans
  • Paid leave for new parents and IU-sponsored volunteer events
  • Employee assistance program (EAP)
Learn more about our benefits by reviewing the IU Benefit Programs Brochure .
Job Classification
Career Level: Sr. Operational
FLSA: Exempt
Job Function: Marketing & Communications
Job Family: Digital Marketing
Click here to learn more about Indiana University's Job Framework.
Posting Disclaimer
This posting is scheduled to close at 11:59 pm EST on the advertised Close Date. This posting may be closed at any time at the discretion of the University, but will remain open for a minimum of 5 business days. To guarantee full consideration, please submit your application within 5 business days of the Posted Date.
If you wish to include a cover letter, you may include it with your resume when uploading attachments.
Equal Employment Opportunity
Indiana University is an equal opportunity employer and provider of ADA services and prohibits discrimination in hiring. See Indiana University Notice of Non-Discrimination here which includes contact information .
Campus Safety and Security
The Annual Security and Fire Safety Report, containing policy statements, crime and fire statistics for all Indiana University campuses, is available online . You may also request a physical copy by emailing IU Public Safety at iups@iu.edu or by visiting IUPD.
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