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Manager, Marketing Technology

The Sherwin-Williams Company, Cleveland, OH, United States


Overview
The Manager, Marketing Technology is pivotal to the Data-Driven eXperience (DDX) team, responsible for overseeing marketing technology/database operations and new development as well as coordinating a matrixed team in executing all DDX deliverables across marketing automation, customer insights + visualization, and marketing measurement.

The Manager, Marketing Technology will define and oversee processes for intake and workflow, quality control, governance, and documentation across the full DDX team. These efforts will support Sherwin-Williams in driving greater insights, personalization, engagement, and improved lead nurturing for all business-to-business market segments (Residential Repaint, New Residential, Commercial, Multi-Family, Healthcare and Hospitality), as well as the direct-to-consumer market segment (Do It Yourself).

This role is not hybrid or remote and will report to our Cleveland, OH Headquarters location.

Core Responsibilities

Marketing Database/MarTech Development and Operations. Lead a team of four internal resources and/or oversee an external agency partner(s) in:

Customer data strategy/architecture/infrastructure/integration design and development, such as …

Provide insight & technology recommendations that result in solutions to critical business problems

Design, implement and document multi-platform architectures with a focus on performance, flexibility, reliability, scalability, and identity resolution

Identify architectural risks and create plans to mitigate risks

Program scoping, development and implementation related to data integration, aggregation, availability, and processing to drive and enable actionable insights from complex data sets by working with appropriate team members and stakeholders

Oversee the development of the database mapping and migration process of legacy data to new systems

Identify and resolve production and application issues by determining and pursuing best courses of action

Provide support to team members by responding to user questions, resolving issues, and troubleshooting

Monitor system performance by performing root cause analysis and integrating new features

MarTech application strategy/architecture/infrastructure/integration design and development, such as having an overall understanding of how data flows throughout the MarTech stack and why each element of a system is chosen

Safely set up, integrate and administer tools, ensuring the marketing team understands why the setup was done and how this setup matches and can improve/automate marketing processes beyond top-of-funnel activities

Plan how the next version of the stack will manifest to accomplish business goals

Assess tools/vendors that could solve a problem and work cross-functionally to ensure the right marketing problems are defined and considered during the assessment phase

Establish vendor relationships based on business needs and the MarTech landscape

Project management through intake, prioritization, enablement and management. Train teams to meet MarTech needs and grow effectively. Build and maintain a team that develops diverse competencies to avoid reliance on one platform or method.

Day-to-day monitoring and operations of the Marketing Database and associated software and infrastructure, including daily delivery and ingestion of all assigned relevant files/data integrations, monitoring for issues and optimization opportunities

Coordinate with internal IT resources and external agencies in troubleshooting data delivery issues

Ensure and approve access to the marketing database and tools for appropriate internal resources

Actively manage data queries in ongoing UAT processes and other testing

Facilitate collaboration across the DDX team, external marketing database provider, and Sherwin-Williams IT teams to troubleshoot data discrepancies and ensure clear data understanding

Recommend additional controls by identifying issues and writing improved procedures

Improve systems by understanding current practices and proposing optimizations/modifications as needed

Provide updates to users on database issues, updates, and key projects and tasks

Facilitate collaboration with other PSG departments and teams to ensure all business objectives and requirements are documented and translated for all parties to understand

Build relationships with key business and technology stakeholders across the organization

Gather requirements, test files and assist in the delivery of additional database development phases, specifically integration of new digital data sources and adaptation of existing infrastructure to accommodate new data

Documentation; cross-functional alignment throughout the process

Stakeholder support, including answering questions and providing summaries to queries and data access as appropriate

Provide DDX "consultation" for marketing technologies/processes not directly under DDX's purview

Ensure alignment on data business rules and key aggregates

Ensure compliance with privacy and other internal policies as appropriate, including regional, national, and international legislation

Own and prepare technical/data summary reports from start to finish; build the query, collect and analyze the data, and summarize the information and trends for the final audience

DDX Marketing Operations & Executional Excellence
Providing leadership across the full, matrixed DDX team and external agency partner(s) in scheduling, process and validation of DDX deliverables across marketing automation, customer insights + visualization and marketing measurement.

Develops, implements and oversees adherence to executional processes, such as access and governance, documentation requirements and processes for managing, storing documentation (GitHub, etc.), peer review and other processes for QC and validation; establishing and enforcing stage gates for release of deliverables

Standardization of business rules, and technical requirements across deliverables (for example CAC inclusions/exclusions by deliverable type, standardization of flags, standardization of account counting logic)

Education

Required: Bachelor’s Degree

Preferred: Bachelor’s Degree in Computer Science, Information Technology, Math, Software Engineering or related field

Knowledge & Experience

Required: Core understanding of relational database design concepts (ex: table design, table relationships; 1:1; 1-many), primary & foreign key designations, etc.

Core understanding of omni-channel platforms, data flows, and MarTech capabilities

Competency in writing, interpreting, trouble shooting and summarizing basic to intermediate SQL queries

5+ years working with and writing detailed requirement specifications for data warehouses/infrastructure/processes and/or database delivery

5+ years working with IT methodologies (ex: Systems Development Life Cycle, Agile and/or Waterfall), test planning and use cases

Excellent communication (verbal and written) skills

Demonstrated ability to influence without authority

Can translate technical ideas into non-technical terms without sacrificing the quality of information given

Effective problem-solver, able to think through and propose alternative options

Preferred: Experience with B2B and B2C customer data

Experience administering business intelligence or data visualization platforms

Experienced user in Tableau or similar

Experience in Digital Analytics platforms and integration

8+ years working with and writing detailed requirement specifications for data warehouses/infrastructure/processes and/or database delivery

8+ years working with IT methodologies (ex: Systems Development Life Cycle, Agile and/or Waterfall), test planning and use cases

Technical/Skill Requirements

Required: Experience in SQL programming, SQL server data types and functions

Knowledge of relational database structures, documentation and processes

Experienced user in Tableau or similar

Preferred: Familiar with developing SSIS packages to perform ETL functions in a data warehouse environment

Experience administering business intelligence or data visualization platforms

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