Requirements: English
Company: Tata Consultancy Services
Region: north holland, netherlands, netherlands , North Holland
About TCS
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 worlds 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
For more information, visit www.tcs.com
Role description
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.
Responsibilities:
Data Strategy Development:
- Lead the development and execution of the organizations 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., marketing, finance, operations, etc.).
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., GDPR, CCPA).
- Oversee the implementation of data management policies and procedures that promote transparency, trust, and accountability in the organizations data usage.
Collaboration with Business Leaders:
- 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.
Performance Monitoring and Reporting:
- Track and monitor the effectiveness of data strategies, ensuring data initiatives deliver measurable business value.
- Design and implement reporting systems and dashboards to track key business metrics and performance indicators.
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