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About careeraxis
careeraxis is a forward‑thinking, data‑centric organization that empowers brands to unlock the full potential of their customer insights. With a global footprint and a culture that champions innovation, integrity, resilience, and servant leadership, careeraxis is at the forefront of transforming raw data into actionable intelligence that drives growth, enhances customer experiences, and fuels strategic decision‑making. As a remote‑first company, we empower our teams to work flexibly from anywhere while staying connected through cutting‑edge collaboration tools and a shared commitment to excellence.
Position Overview
We are seeking an experienced and visionary Senior Manager – Customer & Performance Data Solutions to lead our Marketing Intelligence team. In this pivotal role, you will guide a dedicated squad of data engineers and QA specialists, architecting end‑to‑end data pipelines that power marketing analytics, performance reporting, and data‑driven strategy across careeraxis’s global operations. Your strategic vision, technical acumen, and leadership will ensure that our marketing data ecosystem is reliable, scalable, and continuously evolving to meet the dynamic needs of our business.
Key Responsibilities
- Leadership & Team Development: Inspire, mentor, and grow a high‑performing team of data engineers, data analysts, and QA specialists. Foster a culture of collaboration, continuous learning, and accountability.
- Data Strategy & Architecture: Design and implement scalable data ingestion, transformation, and storage solutions that support real‑time marketing analytics and performance reporting. Champion best practices in data governance, security, and compliance.
- Project Management & Execution: Own the full project lifecycle for data‑related initiatives, from scoping and prioritization to delivery and post‑deployment monitoring. Coordinate cross‑functional teams, including Marketing, Product, and IT, to align data solutions with business objectives.
- Process Automation & Optimization: Lead the automation of manual data workflows, data quality checks, and audit processes to increase efficiency, reduce errors, and accelerate time‑to‑insight.
- Innovation & Continuous Improvement: Evaluate emerging data technologies, tools, and methodologies. Drive the adoption of new analytics platforms, data lakes, and machine‑learning pipelines that enhance data democratization across the organization.
- Stakeholder Collaboration: Serve as the subject‑matter expert for data availability, usage, and best practices. Translate complex data concepts into clear, actionable insights for non‑technical stakeholders.
- Performance Measurement: Define and monitor key performance indicators (KPIs) for data quality, pipeline reliability, and team productivity. Use data to inform strategic decisions and demonstrate ROI.
Essential Qualifications
- Minimum 3 years of experience leading technical teams and managing complex data projects.
- At least 4 years of hands‑on experience in data engineering, with a strong background in cloud environments (AWS, Azure, or GCP) and Big Data technologies.
- 10+ years of development experience in SQL, Python, SAS, and Teradata, with proficiency in building and maintaining ETL/ELT pipelines.
- Deep knowledge of traditional data warehousing concepts, cloud‑based data warehouses (e.g., Redshift, Snowflake), data lakes, and real‑time streaming architectures.
- Proven track record of designing and executing large‑scale data platform migrations.
- Exceptional system design skills, including the ability to architect high‑scale, fault‑tolerant data pipelines.
- Strong analytical and problem‑solving abilities, with a knack for translating business requirements into technical solutions.
- Excellent communication skills, capable of presenting complex data concepts to executive and non‑technical audiences.
- Demonstrated commitment to data security, privacy, and compliance standards.
- High school diploma, GED, or equivalent; a minimum of 18 years of age and authorized to work in the United States.
Preferred Qualifications
- Advanced degree (Bachelor’s, Master’s, or Ph.D.) in Computer Science, Engineering, Data Science, or a related field.
- Experience working with large, highly complex data sets in a marketing or consumer‑facing environment.
- Background in marketing operations, preferably within the technology or e‑commerce sector.
- Familiarity with careeraxis’s internal data ecosystem, including data cataloging and governance tools.
- Hands‑on experience with Adobe Analytics, Salesforce Marketing Cloud, or similar marketing analytics platforms.
Skills & Competencies
- Strategic thinking and vision for data‑driven marketing.
- Leadership and people management, with a focus on coaching and talent development.
- Technical proficiency in cloud data services (AWS S3, Redshift, Snowflake, BigQuery).
- Strong command of data modeling, schema design, and performance tuning.
- Expertise in Python, SQL, and data orchestration tools (Airflow, dbt).
- Experience with data quality frameworks, automated testing, and monitoring.
- Excellent project management skills, including Agile and Scrum methodologies.
- Effective communication, storytelling, and stakeholder engagement.
- Adaptability to fast‑paced, evolving environments.
Career Growth & Learning Opportunities
At careeraxis, your career trajectory is as dynamic as the data you manage. We offer a clear path for advancement, from Senior Manager to Director of Data Engineering, and beyond. You will have access to:
- Mentorship programs with senior leaders across careeraxis.
- Regular training on emerging data technologies, cloud certifications, and leadership development.
- Opportunities to lead cross‑functional initiatives that shape careeraxis’s global strategy.
- Participation in industry conferences, webinars, and hackathons.
- Internal mobility to other data‑centric roles or business units.
Work Environment & Company Culture
careeraxis thrives on a culture of care, integrity, resilience, and servant leadership. Our remote‑first model means you can work from anywhere while staying connected through virtual collaboration tools, weekly team huddles, and quarterly all‑hands meetings. We celebrate diversity, equity, and inclusion, and we actively support employees through:
- Flexible work hours and a results‑oriented approach.
- Inclusive hiring practices and a supportive onboarding experience. < Apply for this job