Sr Data Strategist

r Data Strategist.

Skills:

10+ years of experience in data engineering, data strategy, or in a digital transformation role Experience designing data operating models and enterprise data strategies with hands-on experience working on cloud data platforms, specifically Snowflake (Snowflake is basically a must have) Professional experience leading a major data or digital transformation end-to-end Strong data engineering fundamentals - deep understanding of how data is structured, organized, modeled, and managed AI and machine learning knowledge - ability to identify use cases, guide implementation, and embed Machine Learning capabilities into business processes Strong program and project management skills

Job Description:

The Data Strategy Lead will be responsible for developing and implementing a comprehensive data strategy that aligns with the organization''s digital transformation goals. This role requires strong project management skills to oversee data-related initiatives and the ability to design effective data operating models that enhance data governance, quality, and accessibility. The ideal candidate will be a good problem-solver with a keen ability to diagnose functional?needs, deal with ambiguity,?identify?where things currently stand and where they want to be, develop a blueprint / roadmap, and execute.

Key Responsibilities :

Data Strategy Development :

Define and articulate the organization''s data vision and strategy in alignment with business objectives. Identify key data initiatives that support digital transformation efforts and drive business value.

Project Management:

Lead cross-functional teams in the execution of data projects, ensuring timely delivery and adherence to budget constraints. Develop project plans, timelines, and resource allocation strategies to manage multiple data initiatives simultaneously.

Data Operating Model Design:

Design and implement a robust data operating model that encompasses data governance, architecture, and management practices. Establish processes for data collection, storage, processing, and analysis to ensure data integrity and security.

Stakeholder Engagement:

Collaborate with business leaders and stakeholders to understand data needs and ensure alignment with strategic goals. Communicate data strategy and initiatives effectively to various audiences, including executive leadership.

Performance Measurement:

Develop metrics and KPIs to assess the effectiveness of data initiatives and the overall data strategy. Continuously monitor and refine the data strategy based on performance insights and changing business needs.

Team Leadership:

Mentor and guide team members in data management best practices and project management methodologies. Foster a culture of data-driven decision-making across the organization.