Data Operations Manager
New York City
Full Time Mid-level / Intermediate USD 125K - 150K
Vendelux
AI-Powered Event Intelligence Platform with speaker, sponsor and attendee data covering over 200,000 trade shows and conferencesVendelux is a Series A SaaS company and we provide the system of record for event marketing. Our software platform provides proprietary insights that helps high-growth companies find the highest ROI events, conferences and trade shows to attend and sponsor. We have built an AI-powered platform that customers describe as an event marketer’s dream.
Vendelux was founded in 2021, and our recent $14 million Series A was led by FirstMark, whose portfolio includes companies like Shopify, Pinterest, Discord, Airbnb, Draft Kings, Carta and Justworks (amongst others). Our leadership team includes alumni from Shutterstock, Bain, Google, IBM and Compass.
Vendelux is seeking an experienced, insightful and hands-on Data Operations Manager with a strong background in driving operational rigor and excellence in managing external and internal data sources and workflows. You will be a key member of the Data & AI team working to build and scale operational excellence in support of our data acquisition strategy, leading and auditing our 1st, 2nd, and 3rd party data ingestion processes.
Scope of Responsibilities
Ensure the timely, accurate, and efficient acquisition of data.
Audit, design and implement processes that improve the efficiency and productivity of our data acquisition operations.
Ensure our data acquisition strategy evolves with growth and product offering and processes and systems scale to meet business needs.
Maximize efficiency, productivity, and profitability through extensive data, KPI, process analysis and cross functional collaboration.
Help establish key performance indicators for data operations and regular reporting on performance metrics.
Implement monitoring systems to proactively identify and address data quality issues.
Identify and capitalize on improvements to data accuracy, coverage, and performance through internal technical processes and third-party relationships.
Build and maintain strong relationships with all department heads, external partners, and vendors to make decisions regarding operational activity and strategic goals.
Partner with data and engineering teams to develop workflow support tools and ensure appropriate data capture.
Ensure continued performance of third party vendors and manage budget.
Develop new forecast methods to improve the predictability of our business.
Set strategic goals for operational efficiency and increased productivity.
Lead other data operations professionals, fostering a culture of excellence and continuous improvement.
Qualifications
Bachelor’s degree and minimum of 5+ years of work experience in Operations or technical program management.
Experience in B2B SaaS preferred and/or strong background optimizing operational workflows involving data or content.
Experience in auditing and optimizing data ingestion processes.
Proven track record of delivering complex programs of data driven transformation with demonstrable impact in data operations and data quality management.
Advanced understanding of Jira or other project management systems and can refine and enhance ways of working.
Proficiency in SQL or utilizing BI solutions.
Familiarity with data governance, data quality, and data security principles.
Familiarity with relevant tools and technologies in the data management space such as ETL, data warehousing.
Strong critical thinking and problem solving, leveraging data to articulate problems, develop recommendations, and measure performance.
Adaptable and agile, with the ability to navigate fast-paced and evolving product goals.
Thrive in unstructured environments, and have a knack for bringing order to chaos.
Not all candidates will check all of the requirements listed above and that’s ok! We are open to great people from non-traditional backgrounds.
Vendelux is proud to be an equal opportunity workplace. We are committed to equal opportunity regardless of race, color, ancestry, religion, gender, gender identity, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status.
Tags: Agile Data governance Data management DataOps Data quality Data Warehousing Engineering ETL Jira Security SQL
Perks/benefits: Conferences Startup environment Team events
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