Senior Manager, Data Operations
7 days ago
We are seeking a highly skilled and experienced Senior Manager, Data Operations & Analytics to join our team at Lightspeed. As a key member of our Data Office, you will be responsible for leading our data operations and analytics efforts, driving seamless data flows, and optimizing day-to-day data operations.
Key Responsibilities- Leadership & Team Management
- Build and lead a team of data operations analysts and data analysts to work closely with our product and technology teams.
- Partner with our product and technology organization to develop and execute a comprehensive data operations and analytics strategy aligned with business, product, and technology objectives.
- Oversee the development of data roadmaps for our teams and help shape the broader data office roadmap to industrialize data and ensure robust data practices.
- Provide direction, mentorship, and hands-on support to help your team members develop their skills and deliver value to our product and technology teams.
- Foster a culture of teamwork, collaboration, and continuous learning.
- Lead data-related projects, including migrations, implementations, and upgrades.
- Data Operations
- Develop a deep understanding of our products, systems, and underlying data architecture to leverage this knowledge for data model development and data insights.
- Manage daily operations to collect, transform, and store data.
- Monitor data quality and ensure data integrity across our teams by fostering accountability.
- Drive a culture of continuous improvement within our team, identifying areas for automation and driving initiatives to enhance data processes, systems, and quality.
- Lead by example in embracing new technologies and methodologies to stay ahead of industry trends.
- Analytics
- Lead the development and adoption of the highest analytics standards and methodologies among our data office and across our product and technology organization.
- Lead analysis and mining of large data sets to derive actionable insights using prescriptive, descriptive, predictive, exploratory, and inferential analysis.
- Support the creation of measurement plans using data for identifying trends, insights, and answers to key business questions.
- Collaborate with cross-functional teams, including data engineers, analysts, and business stakeholders, to understand data requirements and help create user-friendly solutions.
- Governance, Process, and Quality Management
- Collaborate with our data office and stakeholders to establish and promote data standards and best practices, ensuring clear communication and alignment with key stakeholders to drive successful outcomes.
- Monitor data quality and ensure data integrity across our teams by fostering accountability, investigating discrepancies at the source, documenting findings, and driving continuous improvement.
- Implement data governance policies and procedures.
- Extensive experience (8+ years) in a data operations, data management, or operations-related role, with at least 3 years in a leadership or mentoring position.
- Strong technical skills, including proficiency in data ingestion, transformation, and modeling, analysis, and visualization tools (e.g., BigQuery, Dataform, Looker, SQL, GitHub, etc.).
- Experience with data governance, data quality management, and data privacy regulations (e.g., GDPR, CCPA).
- Excellent analytical, problem-solving, and project management skills.
- Strong business acumen and a passion for bridging the gap between technical insights and business strategy.
- Excellent communication skills to articulate complex insights with clarity and impact, and strong interpersonal skills with the ability to collaborate effectively with cross-functional teams.
- Excellent organizational skills, self-starter mentality, and the ability to drive multiple priorities autonomously in a fast-paced setting.
- A dynamic and inclusive work environment.
- Opportunities for growth and professional development.
- A comprehensive benefits package, including equity for all Lightspeeders.
- A flexible work culture and remote work options.
- Access to cutting-edge technology and tools.
- A collaborative and supportive team environment.
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