Marketing Data Operations Manager

Informa Group Plc. • New York, NY

23h • $70,000 - $100,000 • Hybrid

About The Position

This role is based in our New York / Dallas / Boulder or Phoenix offices. The Marketing Data Operations Manager is a technical leadership role within the Marketing Analytics Center of Excellence (CoE), responsible for ensuring that data governance and standards defined by the Commercial Data department are implemented effectively across all portfolios. This role owns the functional execution of data integrity, accuracy, and operational health, serving as the primary point of accountability for enterprise-wide data protocols. You'll manage the technical layer of data ingestion and quality control, ensuring the reliability of all downstream analytical outputs. Beyond maintaining technical excellence, you'll build and scale a high-performing data operations function capable of supporting growing business complexity while developing team members who combine technical mastery with strategic business thinking. This is a role for someone who thrives on precision, takes ownership of the technical foundation that makes great analytics possible, and sees data operations as a strategic enabler rather than a back-office function. You'll establish and oversee data hygiene audits, monitor the health of data pipelines between the central data warehouse and marketing execution platforms like Eloqua and Salesforce, and troubleshoot synchronization issues before they impact reporting. You'll architect scalable processes and systems that can flex across multiple portfolios and business units, while mentoring your team to become proactive problem-solvers who anticipate issues rather than simply react to them. You'll also serve as the technical liaison to the central Governance team, representing marketing-specific requirements in global standards and flagging emerging data quality risks. Success in this role means analysts and stakeholders trust the data completely, your team operates with minimal escalations, and data operations becomes a competitive advantage rather than a constraint. Reporting Line: VP, Marketing Analytics

Requirements

• Proven experience in data operations, technical data governance, or database management within a matrixed organization, with demonstrated ability to implement complex data standards and maintain system-wide accuracy at scale.
• Strong team leadership and development capabilities, including experience building technical teams, creating training programs, and mentoring junior data professionals into senior technical or leadership roles.
• Deep technical proficiency in SQL, Python, and managing enterprise-level data environments, including experience with ETL/ELT processes, data pipeline orchestration, and cloud data platforms.
• Expertise in data governance frameworks and quality management, including experience implementing data quality dimensions (accuracy, completeness, consistency, timeliness), metadata management, and data lineage tracking.
• Advanced technical troubleshooting and root-cause analysis skills, with the ability to diagnose complex system issues, identify upstream data problems, and implement sustainable solutions rather than temporary fixes.
• Experience with marketing technology ecosystems, including familiarity with marketing automation platforms, CRM systems (Salesforce), CDPs, and data warehousing solutions.
• Strategic thinking and organizational design abilities, including capacity planning, process optimization, and building scalable operations that anticipate future business needs.
• Strong stakeholder management and communication skills, with the ability to translate technical concepts for non-technical audiences and advocate for data operations priorities with senior leadership.
• Change management experience, including driving adoption of new data standards, tools, or processes across resistant or diverse stakeholder groups.

Responsibilities

• Recruit, develop, and mentor a team of Data Quality Analysts into technical specialists who understand both the "how" and the "why" behind data operations. Create development pathways that build expertise in data engineering, governance frameworks, and business context, preparing team members for expanded technical or leadership roles.
• Design and implement data operations workflows, quality control frameworks, and monitoring systems that can scale across multiple portfolios and business functions. Build automation and efficiency into routine processes to increase team capacity without proportional headcount growth.
• Lead the effective implementation of data governance and architectural standards defined by the Commercial Data Governance team. Ensure all portfolio-level data remains compliant with enterprise naming conventions, taxonomies, and quality thresholds, while adapting global standards to marketing-specific use cases.
• Establish and oversee routine data hygiene audits, validation workflows, and quality monitoring dashboards. Implement proactive alerting systems that identify data anomalies before they impact downstream analytics or executive reporting.
• Monitor the health and performance of data pipelines between the central data warehouse and marketing execution platforms (e.g., Eloqua, Salesforce, IIRIS, CDP). Troubleshoot synchronization issues, latency problems, and integration failures with speed and precision.
• Work closely with the Data Strategy Manager to identify opportunities where improved data quality, new data sources, or enhanced technical capabilities can unlock business value. Translate strategic analytics initiatives into operational requirements, ensuring the technical foundation supports innovation and advanced analytical use cases.
• Serve as the technical point of contact for the central Governance team, ensuring marketing-specific requirements are represented in global standards. Advocate for the CoE's operational needs, flag emerging data quality risks, and contribute to enterprise-wide data strategy discussions.
• Maintain local control over data entry points and system integrations to ensure data accuracy at the source. Implement validation rules, data entry standards, and user training to prevent quality issues from entering the ecosystem, particularly during centralized transitions or system migrations.
• Collaborate with the Senior Analytics Manager to ensure data operations support analytical delivery needs and reporting excellence. Provide technical guidance to portfolio teams on data best practices, system capabilities, and optimization opportunities.
• Identify opportunities to leverage automation, AI-driven data quality tools, and emerging technologies to enhance operational efficiency. Stay current with industry best practices in data operations and governance, bringing external innovations into the organization.

Benefits

• Great community: a welcoming culture with in-person and online social events, our fantastic Walk the World charity day and active colleague groups and networks promoting a positive, supportive, and collaborative work environment
• Broader impact: take up to four days per year to volunteer, with charity match funding available too
• Career opportunity: the opportunity to develop your career with bespoke training and learning, mentoring platforms and on-demand access to thousands of courses on LinkedIn Learning. When it’s time for the next step, we encourage and support internal job moves
• Time out: 15 days PTO rising to 20 after three years and 25 after six years, plus 10 national holidays, a birthday leave day and the chance to work from (almost!) anywhere for up to four weeks a year
• Competitive benefits, including a 401k match, health, vision and dental insurance, parental leave and an ESPP offering company shares at a minimum 15% discount
• Strong wellbeing support through EAP assistance, mental health first aiders, free access to a wellness app and more
• Recognition for great work, with global awards and kudos programs
• As an international company, the chance to collaborate with teams around the world

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed