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Avp Data Science Jobs in Indiana (NOW HIRING)

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Avp Data Science information

See Indiana salary details

$35.7K

$116.8K

$187K

How much do avp data science jobs pay per year?

As of Jul 8, 2026, the average yearly pay for avp data science in Indiana is $116,793.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,700.00 and $129,400.00 per year, depending on experience, location, and employer.

What are some common challenges faced by an AVP of Data Science when aligning data initiatives with business goals?

As an AVP of Data Science, one of the key challenges is ensuring that complex data projects remain closely aligned with evolving business objectives. Balancing technical innovation with practical, actionable outcomes often requires clear communication between data teams and business stakeholders. Navigating organizational silos, managing competing priorities, and translating analytical findings into business impact are critical components of the role. Successful AVPs frequently foster cross-functional collaboration and maintain a strategic perspective to maximize the value of data-driven initiatives.

What does an AVP of Data Science do?

An AVP (Assistant Vice President) of Data Science leads data science teams and projects within an organization, typically overseeing the development of data-driven solutions to support business objectives. They are responsible for setting the strategy for data analysis, managing team members, collaborating with stakeholders, and ensuring high-quality delivery of analytics and machine learning initiatives. The AVP also plays a key role in identifying opportunities to leverage data for business growth, implementing best practices, and staying updated on the latest technologies in data science.

What is an AVP in data science?

An AVP (Assistant Vice President) in data science is a senior leadership role responsible for overseeing data projects, developing strategies, and managing teams of data scientists and analysts. The position often requires strong technical skills, experience with data tools like Python or R, and leadership abilities to align data initiatives with business goals.

What is the salary of AVP data scientist?

The salary for an AVP Data Scientist at JP Morgan typically ranges from $120,000 to $160,000 annually, depending on experience, location, and specific team. Additional compensation may include bonuses and benefits, and the role often requires proficiency in data analysis tools and programming languages like Python or R.

What is the difference between Avp Data Science vs Data Scientist?

AspectAvp Data ScienceData Scientist
Required CredentialsAdvanced degree (Master's/PhD), experience in leadership rolesBachelor's or Master's in relevant field, some experience
Work EnvironmentStrategic, managerial, cross-departmental collaborationHands-on data analysis, model development, coding
Employer & Industry UsageFinancial services, tech, consulting firms, often in leadershipTech companies, startups, research institutions
Common Search & ComparisonHigher-level strategic role, leadership focusTechnical, analytical role, implementation focus

In summary, an Avp Data Science typically holds a senior leadership position with strategic responsibilities and requires advanced credentials, whereas a Data Scientist is more focused on technical analysis and model development. The roles differ mainly in scope, experience, and level of responsibility within organizations.

What are the key skills and qualifications needed to thrive as an AVP Data Science, and why are they important?

To thrive as an AVP Data Science, you need advanced expertise in statistics, machine learning, and data analysis, typically supported by a master’s or PhD in a quantitative field and several years of relevant experience. Familiarity with programming languages like Python or R, big data platforms (e.g., Hadoop, Spark), and experience with data visualization tools and cloud technologies are commonly required. Strong leadership, strategic thinking, and communication skills set top candidates apart by enabling them to guide teams and explain complex findings to stakeholders. These skills and qualities are crucial for driving data-driven decision-making and delivering business value through analytics.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables or data subsets to improve model performance efficiently.
What are popular job titles related to Avp Data Science jobs in Indiana? For Avp Data Science jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Avp Data Science jobs in Indiana look for? The top searched job categories for Avp Data Science jobs in Indiana are:
What cities in Indiana are hiring for Avp Data Science jobs? Cities in Indiana with the most Avp Data Science job openings:
Avp Data Science jobs near you
AVP, Business Reporting & Automation Officer

AVP, Business Reporting & Automation Officer

Lake City Bank

Warsaw, IN • On-site

Full-time

Posted 21 hours ago

Posted today

Job description

Do you have experience in business intelligence, reporting, and automation and want to work for a company that values your future? As an AVP, Business Reporting & Automation Officer in Warsaw, IN, you will play a critical role in delivering enterprise reporting solutions, driving intelligent automation initiatives, and providing actionable insights that support business growth, operational excellence, and strategic decision-making. In this role, you will:

  • Design, develop, and maintain enterprise level reporting solutions that support executive, operational, and regulatory reporting requirements.
  • Ensure all reporting adheres to Bank reporting standards, including consistent definitions, documented data lineage, version control, and comprehensive supporting documentation.
  • Translate business requirements into repeatable, enterprise quality reporting and automation artifacts that can be leveraged consistently across the organization.
  • Maintain robust validation, reconciliation, and control processes to support audit, risk management, and regulatory needs.

Required Qualifications:

  • Bachelor’s degree in computer science, information systems, data engineering, or related field; or equivalent work experience.
  • Five+ years of work experience supporting enterprise reporting, analytics, automation, application platforms or financial services operations.
  • Ability to author and maintain automations and reports utilizing SAP BusinessObjects and automation tools, generate clear and professional business correspondence, and create strong procedure manuals.
  • Personal computer competency: intermediate to advanced level using Microsoft Office 365 (i.e. Word, Excel, PowerPoint, and Outlook)

Lake City Bank is proud to be an equal opportunity employer committed to a diverse, inclusive workplace. Employment at Lake City Bank is based solely on business needs, a person’s merit, and qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, age, protected veteran status, or any other characteristic protected by law. Lake City Bank will not tolerate discrimination or harassment based on any of these characteristics.

Applicants have rights under Federal Employment Laws

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