ZipRecruiter

Log In

1

Senior Data Strategy Jobs in Ohio (NOW HIRING)

LHH US

Sr. Data Analyst

Hilliard, OH

$85K - $110K/yr

LHH is representing a growing distribution organization, seeking a Senior Data Analyst to transform ... that support strategic objectives. * Build and maintain data models, KPIs, scorecards, and ...

OCLC, Inc.

Senior Data Scientist

Dublin, OH · On-site

As a Senior Data Scientist you will work with stakeholders throughout the organization to identify ... Identify areas of opportunity for data science to effect change and drive strategic business impact

LHH US

Sr. Data Analyst

Hilliard, OH · On-site

$85K - $110K/yr

LHH is representing a growing distribution organization, seeking a Senior Data Analyst to transform ... that support strategic objectives. * Build and maintain data models, KPIs, scorecards, and ...

Further

Senior Data Engineer

Cleveland, OH · Hybrid

$102K - $139K/yr

SENIOR DATA ENGINEER We are looking for a highly skilled and strategic Senior Data Engineer to lead in our data engineering consulting team. In this role, you will serve as the technical cornerstone ...

areto consulting gmbh

$102.72 - $148.37/hr

Mit Strategie, Technologie und Menschen, die auf Augenhöhe arbeiten. Du bist dabei, wenn aus ... Deine Aufgaben... Als Senior Data Scientist / Senior AI Engineer (m/w/d) im Bereich AI ...

Further

Senior Data Engineer

Cleveland, OH · On-site

$102K - $139K/yr

SENIOR DATA ENGINEER We are looking for a highly skilled and strategic Senior Data Engineer to lead in our data engineering consulting team. In this role, you will serve as the technical cornerstone ...

Capgemini Invent

$79.73 - $102.50/hr

Und das alles auf der Grundlage von Technologien. Deine Rolle Als Senior Consultant / Manager im Bereich (Gen) AI & Data Strategy gestaltest du datengetriebene Transformationen und entwickelst ...

New

previous page

Showing results 41-60

All JobsData Strategy JobsSenior Data Strategy JobsSenior Data Strategy Jobs in Ohio

Senior Data Strategy information

What does a senior data strategy professional do?

A Senior Data Strategy professional is responsible for developing and overseeing the implementation of data-driven strategies that support an organization's business objectives. They analyze large datasets, identify trends and opportunities, and collaborate with stakeholders to align data initiatives with company goals. Their work also involves ensuring data quality, governance, and compliance, as well as leveraging data to drive innovation and competitive advantage.

What are the key skills and qualifications needed to thrive as a senior data strategy professional?

To thrive as a Senior Data Strategy professional, you need deep expertise in data analytics, business strategy, and data governance, often backed by a degree in a quantitative field and several years of relevant experience. Familiarity with analytics platforms (such as SQL, Python, and Tableau), data management frameworks, and certifications like Certified Data Management Professional (CDMP) are highly valuable. Strong communication, stakeholder management, and strategic thinking skills set top performers apart in this role. These skills are essential for aligning data initiatives with organizational goals and driving data-driven decision-making across the business.

How does a senior data strategy professional typically collaborate with cross-functional teams to drive data initiatives?

As a Senior Data Strategy professional, you will frequently work with cross-functional teams, including data engineers, business analysts, product managers, and executives. Your main responsibility is to align data initiatives with business goals, so you will facilitate communication between technical and non-technical stakeholders, ensuring data solutions are both technically feasible and strategically valuable. This role often involves leading workshops, defining data governance frameworks, and setting priorities for data projects. Effective collaboration and influence are key, as you will help translate complex data insights into actionable strategies for different departments.

What is the difference between Senior Data Strategy vs Data Analyst?

AspectSenior Data StrategyData Analyst
Required CredentialsBachelor's or Master's in Data Science, Business, or related field; experience in data strategyBachelor's in Data, Statistics, or related field; proficiency in data analysis tools
Work EnvironmentStrategic planning, cross-department collaboration, executive communicationData collection, cleaning, analysis, reporting
Employer & Industry UsageTech companies, consulting firms, large enterprisesRetail, finance, healthcare, and other sectors

While both roles involve working with data, Senior Data Strategy focuses on developing overarching data initiatives and aligning them with business goals, whereas Data Analysts primarily analyze data to generate reports and insights. The senior role requires strategic thinking and cross-functional collaboration, while Data Analysts focus on technical data processing and visualization.

What are the most commonly searched types of Data Strategy jobs in Ohio?

The most popular types of Data Strategy jobs in Ohio are:

What are popular job titles related to Senior Data Strategy jobs in Ohio?

For Senior Data Strategy jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Senior Data Strategy jobs in Ohio look for?

The top searched job categories for Senior Data Strategy jobs in Ohio are:

What cities in Ohio are hiring for Senior Data Strategy jobs?

Cities in Ohio with the most Senior Data Strategy job openings:

Senior Data Strategy jobs near you

Senior Data Scientist

Online Computer Library Center

Dublin, OH • On-site

Other

Medical, Retirement

This job post has expired today. Applications are no longer accepted.

Job description

Together we make breakthroughs possible.
At OCLC, we build technology with a purpose: to connect libraries and make knowledge accessible worldwide, because we believe that what is known must be shared. Our teams work with complex global datasets, AI and machine learning, hybrid cloud solutions, and other technologies that connect people and organizations to the information they need. We value the power of unique perspectives and experiences to unlock innovation. At OCLC, your ideas matter, whether you have two years of experience or 20. You'll learn, create, and problem-solve with technologists, product developers, librarians, researchers, marketing pros, and support teams around the world.
Why join OCLC?
OCLC is consistently recognized as a best place to work by several independent programs. We recognize and reward people and results with a comprehensive Total Rewards package. This means competitive compensation that reflects your unique contributions-performance, experience, and skills-along with exceptional benefits, including best-in-class health coverage, retirement plans with generous company contributions, and a commitment to your overall well-being.
  • We know the best ideas don't always happen at a desk. Take a walking meeting around our 100-acre campus or enjoy lunch on the patio. We're committed to your success-both personally and professionally. Hybrid work environment: For many roles, three days a week on-site, with occasional additional days based on business needs.
  • Free use of our on-site fitness center, gym sports, group exercise classes, and game room
  • Onsite catering and cafeteria subsidized by OCLC
  • Health and wellness events
  • Work environments with individual and team spaces and the latest technology tools
  • Paid parental leave and adoption assistance
  • Tuition reimbursement and Public Service Loan Forgiveness eligibility
  • Company-subsidized pricing on local tickets and memberships

Join us in transforming how people everywhere access information and be part of a mission-driven team that makes a global impact.
The job details are as follows:
As a Senior Data Scientist you will work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions
Responsibilities:
  • Design, develop, and deploy advanced machine learning models and statistical algorithms to solve complex business problems and drive data-driven decision making across the organization
  • Conduct rigorous statistical analysis, validate hypotheses, and provide actionable insights to stakeholders
  • Build and optimize end-to-end data pipelines, including data extraction, transformation, and feature engineering to support scalable ML solutions
  • Review, scale, and enhance operationalized statistical and machine learning models and algorithms, and quantify improvements in terms of business efficiency or customer experience
  • Create repeatable processes and scalable data products by, for example, automating feedback loops for production statistical or machine learning models
  • Perform exploratory data analysis on large-scale datasets to uncover patterns, trends, and opportunities for innovation
  • Implement MLOps best practices, including model versioning and monitoring to ensure reliable model performance in production.
  • Mentor junior data scientists and contribute to the development of team capabilities through code reviews, knowledge sharing, and best practice documentation
  • Influence functional teams to develop best practices across the organization
  • Identify areas of opportunity for data science to effect change and drive strategic business impact
  • Maintain engagement with the data science community and current industry developments to assist in driving technical data science team vision and strategy

Requirements:
  • Master's Degree in a quantitative field (Mathematics, Computer Science, or Statistics or related quantitative fields) and 5+ years professional experience in a data science role or PhD in a quantitative field and 2+ years professional experience in a data science, machine learning, or related analytical role
  • Deep understanding of machine learning algorithms, statistical modeling techniques, and their practical applications, along with extensive experience using ML frameworks and libraries such as scikit-learn, TensorFlow, or similar tools.
  • Strong SQL skills and experience working with large-scale data warehousing platforms, particularly Snowflake
  • Expert proficiency in a scripting language such as Python, including Python data libraries (numpy, pandas, matplotlib, scikit-learn) and strong programming skills in Java or similar languages
  • Intermediate proficiency in a low-level or performant language
  • Expert proficiency in working within a cloud computing environment using software development best practices
  • Hands-on experience with cloud platforms (AWS and/or Azure) including services for data storage, processing, and model deployment
  • Proven track record of deploying machine learning models to production environments and measuring their business impact
  • Experience automating production-quality statistical or machine learning models at scale with expert understanding of their underlying mathematical and statistical theory
  • Experience with version control (Git), containerization (Docker), and CI/CD practices
  • Experience and expertise solving complex and highly impactful quantitative business problems
  • Self-starting attitude; ability to spearhead new data science initiatives and collaboration across functional teams
  • Demonstrates excellent communication skills with ability to explain statistic and mathematical concepts to non-experts

Working Conditions: Normal office environment.
ADA/EAA: The above statements cover what are generally believed to be principal and essential functions of this job. Specific circumstances may allow or require some people assigned to the job to perform a somewhat different combination of duties.

Apply