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Tata Consultancy Services (TCS) is a global leader in IT services, digital, and business solutions that partners with its clients to simplify, strengthen, and transform their businesses. We ensure the highest levels of certainty and satisfaction through a deep-set commitment to our clients, comprehensive industry expertise, and a global network of innovation and delivery centers.

TCS operates on a global scale & has over 6,08,985 of the world’s best-trained consultants representing 152 nationalities in 53 countries. TCS established its presence in the Netherlands in 1992 and works with leading Dutch Customers across industry sectors, including several NL20 companies. TCS has been ranked #1 in customer satisfaction, among IT services providers in the Netherlands in a survey by Whitelane Research and is recognized as a Top Employer in the Netherlands, Europe & also Global by the Top Employers Institute

A Data Strategist is responsible for defining, implementing, and driving the data strategy across the organization to enable data-driven decision-making. This role bridges the gap between business objectives and data initiatives, ensuring that data assets are leveraged effectively to achieve business goals. The Data Strategist works closely with executives, business leaders, data engineers, and analysts to create actionable insights, optimize data management processes, and build a culture of data literacy within the organization.

Data Strategy Development:
Lead the development and execution of the organization’s data strategy, aligning data initiatives with overall business goals and objectives.
Define long-term data strategies, including data collection, management, analysis, and usage, ensuring alignment with corporate priorities.
Identify key opportunities to leverage data as a strategic asset across the business.
Develop and maintain a roadmap for data initiatives that integrates various departments' needs (e.g., Data Governance and Quality Management:
Establish and enforce data governance frameworks to ensure data quality, consistency, and compliance across the organization.
Define best practices for data collection, storage, access, and utilization to ensure data integrity.
Work with IT, data engineering, and other teams to ensure data privacy and security standards are followed, meeting compliance requirements (e.g., Oversee the implementation of data management policies and procedures that promote transparency, trust, and accountability in the organization’s data usage.

Serve as the primary point of contact for all data-related initiatives across business functions.
Work with business stakeholders to understand their data needs, translate those into actionable data strategies, and ensure data solutions are aligned with business objectives.
Translate complex data issues into clear, actionable insights for non-technical stakeholders, enabling informed decision-making at all levels of the organization.
Work closely with leadership teams to ensure data strategies support long-term business growth and innovation.

Data Analytics and Insights:
Provide guidance on data analytics best practices and methodologies, enabling teams to extract actionable insights from data.
Ensure that business teams are utilizing data effectively for operational, tactical, and strategic decision-making.
Champion data-driven decision-making across the organization by identifying key performance indicators (KPIs) and metrics that align with business priorities.
Leverage advanced analytics, including predictive models and data visualizations, to help guide business decisions and strategies.

Data Infrastructure and Tools:
Collaborate with data engineering and IT teams to ensure that the organization has the right tools, platforms, and technologies for collecting, analyzing, and visualizing data.
Identify gaps in data infrastructure and recommend improvements or new technologies to enhance data capabilities.
Stay up-to-date on the latest advancements in data analytics tools and technologies, and drive the adoption of relevant tools to improve data workflows.

Track and monitor the effectiveness of data strategies, ensuring data initiatives deliver measurable business value.
Provide regular reports to executive leadership and key stakeholders, summarizing data trends, insights, and the impact of data initiatives on business performance.

Training and Data Literacy:
Foster a data-driven culture by promoting data literacy across the organization.
Lead training initiatives to increase understanding and effective use of data across departments.
Create and implement programs to help teams at all levels develop their data skills, from basic data interpretation to advanced analytics.

Data Innovation and Continuous Improvement:
Explore and experiment with emerging data technologies, techniques, and methodologies to continuously improve data processes and strategies.
Drive innovation within the organization by exploring new ways to leverage data for competitive advantage.
Ensure that data practices are continuously evolving and adapting to industry trends, new challenges, and the evolving business environment.

Bachelor's degree in Data Science, Business Analytics, Computer Science, Information Management, or a related field (Master’s degree preferred).


Proven experience with data analytics, data management, and business intelligence tools (e.g., Strong knowledge of data modeling, data architecture, and data governance frameworks.
Familiarity with data processing frameworks, such as SQL, Python, R, or other programming languages used for data manipulation and analysis.
Experience with data management platforms (e.g., Hadoop, AWS, Google Cloud Platform, or Azure).
Knowledge of data security and compliance regulations (e.g., Excellent communication skills, both written and verbal, with the ability to explain complex data insights to non-technical stakeholders.
The ability to translate business problems into data-driven solutions that are both practical and impactful.
Strong leadership and project management skills, with the ability to drive data initiatives across multiple teams.
Ability to work collaboratively with cross-functional teams, including business leaders, data engineers, data scientists, and IT professionals.
Ability to think strategically about how data can be used to meet business goals and drive organizational change.
Experience in developing and implementing long-term data strategies that support business transformation.

Experience working with cloud-based data platforms (AWS, GCP, Azure) and big data solutions.
Familiarity with agile methodologies and how they can be applied to data strategy initiatives

Supportive and dynamic team culture