Chief Data Strategist
About ERM
We are a forward-thinking organization dedicated to developing innovative technology solutions that support our sustainability practice. Our team is passionate about creating data-driven products that make a positive impact.
Estimated Salary: $140,000 - $180,000 per year
Job Description
As a Chief Data Strategist, you will play a key role in shaping the overall data architecture and direction of our knowledge products. Your primary responsibility will be to design and develop sustainable data architecture solutions that meet business needs and drive growth.
Main Responsibilities:
Lead the design and development of scalable data engineering solutions, considering factors such as discoverability, impact, performance, integrity, and security.
Partner with product managers, stakeholders, and data engineers to define and prioritize data and technology requirements ensuring alignment with business objectives.
Design and implement data engineering solutions including ELT processes, data pipelines, databases, data catalogs, dashboards, and data warehousing solutions.
Ideate and select appropriate technologies, approaches, and tools to be used in the development process, considering factors such as scalability, maintainability, and cost-effectiveness.
Establish data architectural standards, best practices, and guidelines to ensure engagement, consistency, and quality across teams.
Perform exploratory data engineering work to help consulting teams ideate solutions and understand the value of advanced analytics approaches.
Provide data-related guidance and mentoring to consultants and team members, fostering a culture of continuous learning and growth.
Collaborate with cross-functional teams to address technical challenges, ensuring successful delivery of high-quality data solutions.
Stay informed about emerging technologies, industry trends, and best practices, proactively recommending innovations to enhance our data management processes.
Requirements and Skills:
Bachelor's or Master's degree in Computer Science, Data Science, or a related field, or equivalent work experience.
8+ years of professional experience in data management, with a focus on data architecture or data engineering, coupled with technical leadership.
Proven experience in designing and managing complex, scalable, and high-performance data architectures.
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