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Data Strategy Jobs in Columbus, OH (NOW HIRING)

Data Strategy-Manager

Columbus, OH · On-site

$99K - $232K/yr

They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical ...

Data Strategy-Senior Manager

Columbus, OH · On-site

$124K - $280K/yr

You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Growing as a strategic advisor, you leverage your ...

Deloitte's Technology, AI, and Data Strategy professionals assist with: Qualifications Required: * Bachelor's degree * 6+ years of experience in strategy, management consulting, business ...

Interpreting and delivering impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps. * Assessing and advocating data ...

Data Owner Sr. Associate

Columbus, OH · On-site

$15.50 - $20/hr

The Sr. Associate Data Owner will drive the data strategy for the Home Lending Originations team, ensuring quality data delivery and collaboration across various teams to meet business objectives.

Microsoft Fabric Data Architect

Columbus, OH · Remote

$65.25 - $84/hr

This role blends technical leadership, strategic consulting, and solution architecture to help clients modernize their data ecosystem, improve analytics capabilities, and realize business value from ...

Master Data Architect

Marysville, OH · On-site

$58.50 - $75.25/hr

You will bridge the gap between business strategy and technical execution, championing SAP Best Practices, Clean Core principles, and modern data management frameworks to build a resilient foundation ...

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Data Strategy information

See Columbus, OH salary details

$23.5K

$109.1K

$202.8K

How much do data strategy jobs pay per year?

As of Jun 13, 2026, the average yearly pay for data strategy in Columbus, OH is $109,129.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,567.00 and $139,002.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

Data strategy professionals and data scientists can enter the field at any age, as skills such as programming, statistics, and domain knowledge are learnable later in life. Many successful data professionals start or transition into the field in their 30s or 40s, often leveraging prior experience and continuous learning through online courses and certifications.

How much does a data strategist make?

A data strategist's salary typically ranges from $80,000 to $150,000 annually, depending on experience, industry, and location. Senior roles or those with specialized skills in data management and analytics can earn higher compensation, often exceeding $150,000.

What is a Data Strategy job?

A Data Strategy job focuses on defining and implementing an organization's approach to data management, governance, and utilization. Professionals in this role ensure that data is aligned with business goals, enabling better decision-making and competitive advantage. They work on data policies, frameworks, and analytics strategies while collaborating with stakeholders across IT, business, and data teams. The role often involves assessing data quality, strategic planning for data infrastructure, and identifying opportunities for data-driven innovation.

What are some typical projects or initiatives a Data Strategy professional works on?

Data Strategy professionals often lead projects related to developing enterprise data roadmaps, improving data quality standards, implementing data governance frameworks, and aligning analytics initiatives with business objectives. They may be involved in launching new data platforms, advising on data privacy compliance, or collaborating on cross-functional teams to ensure data is effectively leveraged for decision-making. The role usually requires partnering with IT, analytics, and business units to coordinate efforts and ensure alignment with organizational priorities.

What does a data strategist do?

A data strategist develops and implements data management and analytics strategies to help organizations make informed decisions. They analyze data, identify trends, and collaborate with teams to align data initiatives with business goals, often using tools like SQL, data visualization software, and data governance frameworks.

What are the key skills and qualifications needed to thrive in the Data Strategy position, and why are they important?

To thrive in Data Strategy, you need strong analytical skills, business acumen, experience with data governance, and typically a degree in data science, analytics, or a related field. Familiarity with tools such as SQL, BI platforms (like Tableau or Power BI), and data management systems, along with certifications such as CDMP or DAMA, are often required. Excellent communication, stakeholder management, and problem-solving skills set top professionals apart in this domain. These abilities are vital for bridging technical and business teams to drive actionable strategies and maximize data-driven value for organizations.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can augment their work, the need for human expertise in interpreting data, understanding context, and communicating findings remains essential in the field of data strategy.
What are popular job titles related to Data Strategy jobs in Columbus, OH? For Data Strategy jobs in Columbus, OH, the most frequently searched job titles are:
What cities near Columbus, OH are hiring for Data Strategy jobs? Cities near Columbus, OH with the most Data Strategy job openings:
Data Strategy-Manager

Data Strategy-Manager

Pwc

Columbus, OH • On-site

$99K - $232K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago


PwC rating

8.4

Company rating: 8.4 out of 10

Based on 74 frontline employees who took The Breakroom Quiz

19th of 57 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

Job Description & Summary

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.
In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.
Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Analyse and identify the linkages and interactions between the component parts of an entire system.
Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
Develop skills outside your comfort zone, and encourage others to do the same.
Effectively mentor others.
Use the review of work as an opportunity to deepen the expertise of team members.
Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
The Opportunity
As part of the Data and Analytics team, you will lead the development and implementation of data-driven strategies that drive business growth and enhance decision-making. As a Manager, you will motivate and inspire your team, leveraging their unique strengths to deliver exceptional client service while maintaining rigorous standards of quality and integrity. This role offers the chance to work with innovative technologies and collaborate on transformative projects that shape the future of data management and analytics.
Responsibilities
- Lead the creation and execution of data-driven strategies to enhance business performance
- Inspire and motivate team members to leverage their strengths for exceptional client service
- Maintain the delivery of quality work while adhering to ethical standards
- Collaborate on innovative projects that advance data management and analytics
- Utilize advanced technologies to refine decision-making processes
- Foster a culture of continuous improvement and professional development
- Manage project timelines and deliverables effectively
- Analyze complex data sets to derive actionable insights
What You Must Have
- Bachelor's Degree
- At least 5 years of experience
What Sets You Apart
- AWS Certified Data Analytics / Solutions Architect
- Azure Data Engineer / Azure Solutions Architect
- Google Professional Data Engineer
- DAMA CDMP (Certified Data Management Professional)
- Informatica Certified Professional
- Alation Certified Data Catalog Professional
- Collibra Certified Ranger/Steward/Expert
- SAP Certified Application Associate - SAP Master Data Governance (MDG)
- SnowPro Core / SnowPro Advanced
- Databricks Certified Data Engineer / Data Analyst / ML
- Proven leadership in data-driven strategies
- Experience in defining data governance frameworks
- Understanding of modern cloud data architectures
- Knowledge of data warehousing concepts
- Familiarity with big data engineering tools
- Proficiency in SQL and data visualization tools
- Experience in designing advanced analytics solutions
- Coaching and collaborating with team members

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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