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Vice President Of Data Strategy Jobs in Indiana (NOW HIRING)

The Role The VP of Data & Analytics is POLYWOOD's senior data leader, responsible for the people ... Define and evolve POLYWOOD's enterprise data strategy, from ingestion to insight * Own the ...

VP of Operations

Indianapolis, IN · On-site

$186K - $225K/yr

Strategic planning and execution to enhance profitability, productivity and efficiency throughout the Company * Lead Regional Vice Presidents ensuring their responsibility for the growth of each ...

The VP of Strategy serves as a trusted advisor to the President & CEO, helping translate long-range ... Promote data-driven decision-making through analysis, evaluation, and reporting. Community ...

VP of Finance

Goshen, IN · On-site

$160K - $175K/yr

Goshen, IN (100% Onsite) Salary: $160,000-$175,000 Drive Strategy. Lead Finance. Make an Impact. Our client is seeking an experienced Vice President of Finance to provide strategic financial ...

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Vice President Of Data Strategy information

What is a vice president of data strategy?

A Vice President of Data Strategy is a senior executive responsible for overseeing the development and implementation of an organization's data strategy. This role involves aligning data initiatives with business goals, ensuring data governance and quality, and maximizing the value derived from data assets. The VP of Data Strategy collaborates with other executives to drive data-driven decision making, oversees data analytics teams, and ensures compliance with relevant data regulations. They also play a key role in fostering a data-driven culture across the organization.

How does a vice president of data strategy typically collaborate with other executive leaders and departments?

A Vice President of Data Strategy works closely with other executive leaders, such as the CIO, CTO, and business unit heads, to align data initiatives with overall business objectives. They frequently collaborate with IT, analytics, and operations teams to ensure data governance, security, and quality standards are met. Regular cross-functional meetings and workshops are common to prioritize projects, address challenges, and drive data-driven decision making throughout the organization. This collaborative approach helps embed data strategy into the company’s core processes and fosters a culture of data literacy across departments.

What are the key skills and qualifications needed to thrive as a vice president of data strategy?

To thrive as a Vice President of Data Strategy, you need deep expertise in data analytics, strategic planning, and data governance, often backed by an advanced degree in a quantitative field. Familiarity with enterprise data platforms, data visualization tools, and certifications in data management frameworks (like DAMA or CDMP) are commonly required. Strong leadership, communication, and stakeholder management skills make a candidate excel in driving organizational alignment and innovation. These abilities are crucial for leveraging data as a strategic asset, ensuring data quality, and unlocking value for the business.

What is the difference between Vice President Of Data Strategy vs Data Analytics Director?

AspectVice President Of Data StrategyData Analytics Director
ResponsibilitiesDevelops overall data strategy, aligns data initiatives with business goals, oversees data governanceLeads data analysis projects, manages analytics teams, interprets data insights for decision-making
Required CredentialsBachelor's/Master's in Data Science, Business, or related; extensive experience in data managementBachelor's/Master's in Data Analytics, Statistics, or related; strong analytical skills
Work EnvironmentStrategic leadership, cross-department collaboration, executive-level meetingsOperational focus, project management, team leadership in analytics teams

The Vice President Of Data Strategy focuses on shaping the company's overall data vision and strategy, working closely with executive leadership. In contrast, the Data Analytics Director concentrates on executing data analysis projects and managing analytics teams. Both roles require strong data credentials, but the VP role emphasizes strategic planning and governance, while the Director role is more hands-on with data analysis and reporting.

What are the most commonly searched types of Of Data Strategy jobs in Indiana? The most popular types of Of Data Strategy jobs in Indiana are:
What are popular job titles related to Vice President Of Data Strategy jobs in Indiana? For Vice President Of Data Strategy jobs in Indiana, the most frequently searched job titles are:
What cities in Indiana are hiring for Vice President Of Data Strategy jobs? Cities in Indiana with the most Vice President Of Data Strategy job openings:

VP of Data & Analytics

POLYWOOD

Syracuse, IN • On-site

Full-time

Re-posted 13 days ago


Polywood rating

5.4

Company rating: 5.4 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

45th of 51 rated furniture manufacturers


Job description

Description:

POLYWOOD | Hybrid / Remote | Reports To: Chief Digital Officer

The Opportunity

POLYWOOD is building something most companies talk about but few actually achieve: a data organization that doesn't just report on the business but shapes it. We're evolving from outdoor furniture to outdoor living, and the decisions that drive that shift need to be grounded in real consumer insight, commercial intelligence, and operational clarity.

This is the role that makes that happen.

The Role

The VP of Data & Analytics is POLYWOOD's senior data leader, responsible for the people, platforms, and practices that turn raw data into business advantage. You'll own the enterprise data platform, lead a team of data and analytics engineers, and manage embedded analysts across the organization who sit close to the business units they serve.

Critically, this role isn't just internal infrastructure. You'll be a key partner to Marketing, Advertising, and Commercial leadership, ensuring that data drives smarter decisions across the consumer journey, from acquisition to retention to repurchase.

You'll lead the organization through two direct reports:

  • Director of Data Engineering who builds and maintains the data platform and pipelines
  • Embedded Analysts across business units who translate data into action at the point of need
What You'll OwnData Strategy and Platform Leadership
  • Define and evolve POLYWOOD's enterprise data strategy, from ingestion to insight
  • Own the Databricks lakehouse environment and ensure it's structured, governed, and built for scale
  • Set the architectural standards, modeling conventions, and data quality frameworks that the whole organization relies on
  • Stay technically credible: you understand medallion architecture, transformation pipelines, and data modeling well enough to lead a Director of Data Engineering and make sound platform decisions
Analytics and Organizational Leadership
  • Lead and develop a team of data engineers, analytics engineers, and embedded business analysts
  • Ensure embedded analysts are well-connected to both their business units and to the central data org, so insights are consistent, reliable, and actually used
  • Build a culture of curiosity, rigor, and practical impact across the team
  • Partner with HR and business unit leaders to grow the analyst function as the company scales
Commercial and Marketing Partnership
  • Serve as the primary data partner to Marketing, Advertising, and Commercial leadership
  • Ensure consumer and marketing data pipelines, including Shopify, GA4, Google Ads, and Meta, are structured to support attribution, performance measurement, and audience intelligence
  • Connect data to commercial decisions: pricing, assortment, promotions, and customer lifecycle
  • Help define the KPIs and measurement frameworks that align creative, media, and business teams around shared outcomes
Governance and Data Quality
  • Establish and enforce data governance standards, access controls, and metric definitions across the organization
  • Ensure finance and operations are working from the same numbers
  • Reduce reliance on manual reporting and ad hoc data pulls by building reliable, self-serve business-ready models
What We're Looking For
  • Technical Leader who is credible with engineers and can make sound architectural decisions, not just manage up
  • Organizational Builder who knows how to structure a data org, develop talent, and connect embedded analysts to a central platform
  • Commercial Partner who understands how data connects to marketing performance, consumer behavior, and business outcomes
  • Clear Communicator who can translate technical complexity into business decisions at the executive level
Qualifications
  • 12+ years in data engineering, analytics, or data leadership roles
  • Significant experience leading multi-disciplinary data organizations including engineers and analysts
  • Expert-level knowledge of Databricks and modern lakehouse architecture
  • Strong SQL and Python fluency; ability to review and guide technical work
  • Experience integrating D2C and marketing data sources (Shopify, GA4, paid media platforms)
  • Proven ability to connect data strategy to measurable business outcomes
  • Experience in consumer products, retail, or D2C environments preferred
Why POLYWOOD

You'll be building the data foundation for a category-defining brand at a moment of real strategic ambition. The platform is in place. The business appetite is there. This is a chance to build something that actually matters.

Requirements:What We're Looking For
  • Technical Leader who is credible with engineers and can make sound architectural decisions, not just manage up
  • Organizational Builder who knows how to structure a data org, develop talent, and connect embedded analysts to a central platform
  • Commercial Partner who understands how data connects to marketing performance, consumer behavior, and business outcomes
  • Clear Communicator who can translate technical complexity into business decisions at the executive level
Qualifications
  • 12+ years in data engineering, analytics, or data leadership roles
  • Significant experience leading multi-disciplinary data organizations including engineers and analysts
  • Expert-level knowledge of Databricks and modern lakehouse architecture
  • Strong SQL and Python fluency; ability to review and guide technical work
  • Experience integrating D2C and marketing data sources (Shopify, GA4, paid media platforms)
  • Proven ability to connect data strategy to measurable business outcomes
  • Experience in consumer products, retail, or D2C environments preferred

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