Data Strategy Consulting Services

Data Strategy Consulting Services – Structure Data for Advanced Analytical Capabilities

Strengthen your data foundation with Toptal’s Data Strategy Consulting Services. Our specialists assess data maturity, establish governance models, and design scalable architectures that improve data quality and support advanced analytical capabilities.

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Clients Served

35,000+

Total Vetted Professionals

30,000+

Toptal Total Projects Delivered

85,000+

Years in Business

15+

TRUSTED BY LEADING BRANDS

OUR SERVICES

Toptal Data Strategy Consulting Services

Establish a clear and scalable data foundation that supports business growth and operational efficiency. From strategy through execution, our data strategy consultants help organizations translate data into measurable business outcomes.

Data Strategy Assessment

Evaluate current data capabilities, maturity, and gaps to identify limitations in your data environment and prioritize initiatives through targeted roadmaps.

Governance Frameworks

Establish governance structures to define data ownership, standardize policies, and improve compliance and accountability across the organization.

Data Architecture Design

Design scalable data architectures that connect systems, organize data flows, and support reporting and analytics.

Enterprise Data Strategy

Define a data strategy aligned with business priorities to guide investments and clarify ownership and decision rights across teams.

Data Management Operating Model

Define data management practices that standardize how data is collected, stored, and maintained across systems and business functions.

Analytics Operating Strategy

Define analytics capabilities and operating models to determine how insights are generated, shared, and applied to business decisions.

AI and Machine Learning Readiness

Assess readiness and define a roadmap to identify high-value use cases, prepare data, and plan for AI and machine learning adoption.

Data Platform Planning

Define data platform strategies to evaluate technology options, structure environments, and support scalable data processing and storage.

Implementation Roadmapping

Build phased roadmaps that sequence initiatives, align resources, and translate strategy into executable plans.

Integration Strategy

Design integration approaches to connect systems, reduce silos, and establish consistent data exchange across your ecosystems.

Data Quality Frameworks

Establish data quality frameworks and processes to monitor accuracy and resolve inconsistencies across datasets.

Adoption and Enablement

Drive adoption by aligning stakeholders, improving data literacy, and embedding data into day-to-day workflows.

Looking for guidance about the perfect data strategy consulting service for your needs?

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PARTNERSHIP THAT WORKS

How We Deliver Data Strategy Consulting

Our data srategy experts, with experience at leading companies, develop and deploy tailored solutions to meet your business needs and unique industry demands for sustainable results and long-term success.

Discover

A leader from our team works with you to understand your business challenges, pain points, and strategic goals to uncover new opportunities and identify the options to reach your objectives.

Define

Toptal leaders collaborate with your team to define your specific goals and service needs, evaluating multiple approaches and aligning requirements with your strategic objectives to define the best solution.

Develop

We will create your unique project timeline, process, and first drafts; whether your goal is to align data initiatives with business strategy or build a scalable foundation for analytics and AI.

Deploy

Toptal will get to work, tracking quality assurance, handling project management, and maintaining the delivery schedule.

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Robert Orshaw

CEO, Technology Services

As Toptal’s CEO of Technology Services, Robert leads strategy and operations across our technical services portfolio, spanning AI, automation, and operations. He previously served as Deloitte’s Managing Director & Chief Commercial Officer, transforming its Cloud Operate and Engineering business into a multibillion-dollar operation. He held senior roles at IBM, Velocity, co-founded Corio, and was CIO for two Fortune 500 companies.As Toptal’s CEO of Technology Services, Robert leads strategy and operations across our technical services portfolio, spanning AI, automation, and operations. He previously served as Deloitte’s Managing Director & Chief Commercial Officer, transforming its Cloud Operate and Engineering business into a multibillion-dollar operation. He held senior roles at IBM, Velocity, co-founded Corio, and was CIO for two Fortune 500 companies.

Previously At

CUSTOMIZED SOLUTIONS

Data Strategy Consulting Solutions That Deliver Value

Toptal delivers leading data strategy consulting through its diverse talent network and flexible delivery models. We implement the right skills at each project phase, blending expertise from various roles for seamless execution.

End-to-End Delivery by Toptal
On-demand Talent and Teams

End-to-End Delivery by Toptal

Comprehensive project delivery, tailored to your specific requirements.

CEO, Technology Services

Delivery Manager

Data Architect

AI Solutions Consultant

Analytics Consultant

Data Engineering Consultant

Data Strategy Consultant

Data Scientist

Robert Orshaw

CEO, Technology Services

Previously at

Technology Experience

35+ Years

Rachael Karaffa

Delivery Manager

Rachael serves as a Delivery Manager at Toptal with a focus on leading diverse global teams in developing innovative solutions for our clients. She works across multiple disciplines, including technology, marketing, and management consulting. Rachael specializes in managing people and client relationships, process optimization, and driving teams toward optimal business outcomes.

Previously Managed Client

Experience

9+ Years

Shanthi Viswanathan

Verified Expert in Engineering

27+ Years

of Experience

Data Architect

Shanthi has more than 27 years of experience developing applications using various technologies. As an architect, she has executed several web-based applications, integrations, data migrations, data conversions, and data warehousing projects with significant hands-on as well as leadership responsibilities. She keeps up-to-date with the latest technologies and can effectively match the business needs with those technologies.

Previously at

David Dai

Verified Expert in Engineering

13+ Years

of Experience

AI Solutions Consultant

David has extensive experience in building machine learning and deep learning (DL) solutions at top companies, including Apple, Google, and Facebook, unicorn startups, and academia, as he has a PhD from Carnegie Mellon U. He holds multiple patents in DL-based medical imaging tech and large-scale AI systems. David has grown an AI team to 60+ as the director and tech lead.

Previously at

Emilio Carnicero

Verified Expert in Engineering

18+ Years

of Experience

Analytics Consultant

Emilio is a computer science engineer and MBA graduate with 18+ years of experience helping businesses define and analyze their KPIs across marketing, sales, operations, and finance. He is skilled in SQL and has been working with Tableau since 2011, developing all data integration required to feed Tableau from any data source. As a Tableau consultant and trainer, Emilio can quickly interpret the business needs and build insightful dashboards.

Previously at

Adam Ivansky

Verified Expert in Engineering

12+ Years

of Experience

Data Engineering Consultant

Adam has more than 12 years of experience in data engineering and data science. His tools of choice include Python 3, Spark, and SQL. His main focus areas include ETLs and machine learning marketing pipelines. Adam is able to effectively communicate with both highly technical and nontechnical specialists.

Previously at

Karol Kulasiński

Verified Expert in Engineering

14+ Years

of Experience

Data Strategy Consultant

Karol is a highly experienced senior data scientist with a strong focus on NLP and wide AI applications. He has a unique academic background in physics and large-scale models, in addition to relevant experience in the customer-facing data science industry. He enjoys working with data and leading and implementing R&D projects. With his PhD in physics and the recent MBA degree, Karol combines easy technology and business.

Previously at

Mohab Ayman

Verified Expert in Engineering

9+ Years

of Experience

Data Scientist

Mohab is a data scientist and machine learning developer who specializes in natural language processing (NLP) and computer vision. He has more than nine years of professional experience, and recent projects have focused on machine learning in the areas of natural language understanding (NLU), cheminformatics, and self-driving cars. Mohab stays current with cutting-edge advancements in deep learning.

Previously at

On-demand Talent and Teams

20,000+ vetted experts, ready to deploy individually or in teams.

Data Architect

Analytics Consultant

BI Consultant

AI Solutions Consultant

Advanced Analytics Consultant

Analytics Consultant

Data Architect

Product Analytics Consultant

AI Solutions Architect

Verified Expert in Engineering

30+ Years

of Experience

Data Architect

Gabriel more than 30 years of experience installing, managing, and using SQL, NoSQL (key-value, columnar, graph), time-series, spatial, in-memory, and cloud databases. He's worked with 10TB OLTP databases, 10TB data warehouses, tables with 10+ billion rows, and databases with 10,000+ tables.

Previously at

Verified Expert in Engineering

25+ Years

of Experience

Analytics Consultant

Stephane possesses an impressive 25+ years of international experience in data analytics and business process optimization. Throughout his career, he has excelled in various areas, including database design, business intelligence (BI), machine learning algorithms, big data, and predictive analytics. Stephane's expertise lies in developing solutions that automate processes, allowing clients to allocate their efforts toward value-added activities.

Previously at

Verified Expert in Engineering

13+ Years

of Experience

BI Consultant

Ernesto is a business intelligence professional with more than 13 years in the field. With his expertise in data warehousing, Amazon Redshift, MS SQL Server, ETL (SSIS), Tableau Desktop, and Tableau Server, he helps companies integrate and organize data from multiple sources to be used for reporting and analysis. Ernesto’s attention to detail, strategic thinking, and expertise make him a highly qualified individual for various projects.

Previously at

Verified Expert in Engineering

24+ Years

of Experience

AI Solutions Consultant

Denis is a senior full-stack AI engineer and data scientist, highly skilled in modern generative tech (GPT-4, Midjourney, and more), machine learning, ETL pipelines, data analysis, mathematical modeling, big data, and MLOps. He has a PhD in mathematics, and his data science expertise includes probabilistic risk modeling, revenue forecasting, geospatial data analysis, handwriting recognition, anomaly detection in time series, data engineering, and team leading.

Previously at

Verified Expert in Engineering

13+ Years

of Experience

Advanced Analytics Consultant

With a PhD in physics, a background in mathematics, and more than 13 years of experience modeling real-world data, Teresa has the skills to fulfill any data science role. Teresa enjoys working on the whole pipeline, from data cleaning and analytics to a final predictive model, and she especially enjoys using machine learning models.

Previously at

Verified Expert in Engineering

8+ Years

of Experience

Analytics Consultant

Laura is a data-driven strategist with expertise in turning data into actionable insights. Laura fell in love with Tableau 7.0 in her MBA business analytics program and never looked back. Now, she is a Tableau certified professional and spends her days telling stories with data to influence business decisions.

Previously at

Verified Expert in Engineering

15+ Years

of Experience

Data Architect

With 15+ years of experience in the banking and automobile industries, Krishna specializes in designing and delivering enterprise-grade solutions using Java, Spring, and Azure data engineering. His expertise lies in architecting scalable, secure, and high-performance data infrastructures that drive innovation and operational efficiency in complex, regulated environments. Krishna excels in leveraging technology to solve challenging problems and enhance business outcomes.

Previously at

Verified Expert in Engineering

5+ years

of Experience

Product Analytics Consultant

Guillermo is a senior product data analyst who has worked with CPOs, POs, and tech leads to develop profitable and appealing digital products. Combining his technical and business skills, he unlocks a lever to make data-driven decisions. He was involved in the design and analysis of 40+ OCEs for mobile and web digital products. Having worked in ecosystems of 20+ million WAU, Guillermo knows how to put apart vanity metrics to retrieve meaningful insights and propose actions to boost OEC.

Previously at

Verified Expert in Engineering

11+ Years

of Experience

AI Solutions Architect

Yi is currently working at Apple as a software engineer, building a platform and framework for training machine learning models on hundreds of millions of Apple devices in a privacy-preserving way. He has designed and built scalable ML systems and data infrastructure in cloud environments since 2014, and his expertise spans DevOps, ML, data engineering, both batch and streaming, and back-end web services. Yi's strongest skill is Python, Java, Spark, and SQL, coupled with good ML knowledge.

Previously at

Looking for guidance about the perfect data strategy consulting service for your needs?

Get a Free Consultation Now

Looking for guidance about the perfect data strategy consulting service for your needs?

UNRIVALED EXPERTISE

Our Talent Has Worked With Top Companies

Having previously worked with these leading global companies, our talent brings valuable insights and expertise to deliver world-class outcomes.

WHY ORGANIZATIONS CHOOSE US

Toptal in Action

Discover the cutting-edge benefits our clients enjoy from the global Toptal network.

Toptal data visualization experts build state-of-the-art application for oil and gas leader.

Challenge: Precision Drilling wanted to develop cutting-edge data visualization software that could accelerate the analysis of drilling rig performance data and provide increased value to its customers.

Solution: Toptal assembled a team to help Precision Drilling realize its vision. This team developed Clarity, a state-of-the-art data visualization platform that delivers real-time insights.

Outcome: The platform serves as a central hub for real-time and historical rig fleet performance data, significantly boosting efficiency and enabling instant communication of results across the organization.

It wasn’t a customer-vendor relationship; it was more of an integrated relationship.

Shuja Goraya, CTO, Precision Drilling

Toptal Ranked #1 Most Reliable Professional Services Company in America

Newsweek and Statista’s rankings were based on an independent survey of more than 2,400 decision-makers at Fortune 500s.

IBM — Newsweek's Most Reliable Companies in America 2026 ranking. Toptal is ranked #11, the highest-ranked professional services firm.

See the Most Reliable Companies in America

Methodology for the Rankings

How likely the respondent is to recommend the selected company to others.

Measures the convenience of interaction with the company and efficiency of processes.

Measures the company’s cost-effectiveness and quality relative to price.

Measures whether the company consistently meets or exceeds expectations in quality and timeliness of deliverables.

Measures the company’s ability to consistently fulfill commitments and maintain customer trust.

See the Most Reliable Companies in America

OUR THOUGHT LEADERSHIP

Explore Insights From the Data Strategy Field

Read the latest articles and resources to keep you current on emerging trends in data strategy, data governance, analytics, and AI adoption.

Architecting Effective Data Labeling Systems for Machine Learning Pipelines

Machine learning models are trained on massive datasets in which each data point is labeled to give it context and meaning. This deep dive describes how to build a data labeling architecture from scratch, with a focus on workflow, security, and data quality.

Reza Fazeli

Verified Expert in Engineering

11 Years of Experience

Reza is a machine learning engineer specializing in natural language processing and computer vision. At IBM, he developed machine learning algorithms designed to improve text classification and automate model training, innovations that resulted in six patents. Reza has a master’s degree in engineering from the University of Toronto.

Expertise

Artificial Intelligence Data Science Machine Learning

Previously at