Senior Manager, Data Platforms (Remote)

Scripps Shared Services Company; Kentucky; Hybrid; USD 120,000 - 150,000; Full time

Job summary

The E.W. Scripps Company is seeking a Senior Manager, Data Platforms to shape data infrastructure and ensure data management aligns with business objectives. This role involves creating and managing data systems while collaborating with various teams on data needs.

The ideal candidate will have a degree in Computer Science and over 7 years' experience in data modeling, database design, and a deep understanding of modern data architecture. This position is remote and offers a competitive salary package.

Qualifications

• 7+ years of experience in data modeling or database design.
• Experience with ETL and database technologies.
• Ability to relate architectural decisions to business needs.

Responsibilities

• Design and manage data infrastructure including databases and data warehouses.
• Translate business requirements into data models.
• Evaluate and recommend emerging technologies for data management.

Skills

Programming languages (Java, Python, C/C++)

Data science tools (SQL, R, SAS, Excel)

Modern data architecture design (AWS, Azure, GCP)

Business intelligence tools (ETL, Power BI, Tableau)

Analytical and problem-solving skills

Education

Bachelor’s degree in Computer Science or related field

Tools

Relational Database Management Systems (RDBMS)

NoSQL data platforms

ETL tools

Kafka

Snowflake

Job description

Are you ready to shape the future of data infrastructure at one of America’s most trusted media companies? The E.W. Scripps Company is seeking a strategic and innovative Senior Manager, Data Platforms to design, create, and manage our data infrastructure. This remote role offers the opportunity to establish a solid foundation for data management across our organization, ensuring that data is organized, accessible, secure, and aligned with business objectives.

WHAT YOU'LL DO

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.

WHAT YOU'LL NEED

• Bachelor’s degree in computer science, Management Information Systems (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

WHAT YOU'LL BRING

• Strong ability in programming languages such as Java, Python, and C/C++
• Ability in data science languages/tools such as SQL, R, SAS, or Excel
• Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP), real-time data distribution (Kafka, Dataflow), and modern data warehouse tools (Snowflake, Databricks)
• Experience with database technologies
• Understanding of entity-relationship modeling, metadata systems, and data quality tools and techniques
• Ability to think strategically and relate architectural decisions and recommendations to business needs and client culture
• Ability to assess traditional and modern data architecture components based on business needs
• Experience with business intelligence tools and technologies such as ETL, Power BI, and Tableau
• Ability to regularly learn and adopt new technology, especially in the ML/AI realm
• Strong analytical and problem-solving skills
• Ability to synthesize and clearly communicate large volumes of complex information to senior management of various technical understandings
• Ability to collaborate and excel in complex, cross-functional teams involving data scientists, business analysts, and stakeholders
• Ability to guide solution design and architecture to meet business needs

As an equal employment opportunity employer, The E.W. Scripps Company and its affiliates do not discriminate in its employment decisions on the basis of race, sex, sexual orientation, transgender status, gender, color, religion, age, genetic information, medical condition, disability, marital status, citizenship or national origin, and military membership or veteran status, or on any other basis which would be in violation of any applicable federal, state or local law. Furthermore, the company will make reasonable accommodations for qualified individuals with known disabilities unless doing so would result in an undue hardship for the company.