Remote Senior Data Platforms Leader

The E.W. Scripps Company in

Cincinnati (OH)

Remote

USD 140,000 - 180,000

Full time

14 days+

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Job summary

The E.W. Scripps Company is seeking a Senior Manager, Data Platforms to shape our data infrastructure in a remote role. You will design, build, and manage data systems that support business initiatives across the organization.

Lead data integration, quality, and delivery strategies while collaborating with data architects, engineers, and stakeholders. This senior role requires a strategic mindset and hands-on expertise in modern data architectures and analytics platforms.

Qualifications

Bachelor's degree in computer science, MIS or related degree preferred; or equivalent work experience
Generally, 7+ years of experience in data modeling, database design, or related field
Hands-on relational, dimensional, and analytical project experience using RDBMS, NoSQL data platform technologies, and ETL

Responsibilities

Interpret and deliver impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps.
Design the structure and layout of data systems, including databases, warehouses, and lakes.
Partner with data architecture to design systems that meet the organization's needs by defining data schemas, optimizing data storage, and establishing data access controls and security measures.
Define and implement the long-term technology strategy and innovations roadmaps across analytics, data engineering, and data platforms.
Design and implement processes for the ETL process from various sources into the organization's data systems.
Translate high-level business requirements into data models and appropriate metadata, test data, and data quality standards.
Manage senior business stakeholders to secure strong engagement and ensure that the delivery of the project aligns with longer-term strategic roadmaps.
Simplify the existing data architecture, delivering reusable services and cost-saving opportunities in line with the policies and standards of the company.
Lead and participate in the peer review and quality assurance of project architectural artifacts across the EA group through governance forums.
Define and manage standards, guidelines, and processes to ensure data quality.
Work with IT teams, business analysts, and data analytics teams to understand data consumers' needs and develop solutions.
Evaluate and recommend emerging technologies for data management, storage, and analytics.