VP Data Engineering & ML Operations
New York City, United States
Applications have closed
Informa Group Plc.
Company Description
Curinos is the leading provider of data, technologies and insights that enable financial institutions to make better, and more profitable, data-driven decisions faster. Born out of the combination of two familiar industry powerhouses, Novantas and Informa’s FBX business, Curinos brings to market a new level of industry expertise across deposits, lending and digital experience solutions and technologies.
Job Description
The VP of Data Engineering & ML Platform is a natural hands-on leader, visionary, relentless problem solver, and team builder who can build cross-functional teams and foundational data analytics cloud infrastructure that supports scalable business processes and leading edge ML platforms. As a senior leader of the engineering team, this individual will shape the vision and architecture of Curinos’s data/analytics ecosystem, spearheading democratization of data science and building a world-class data engineering & analytics team that develops data-driven products and services for financial services.
Key Responsibilities: Lead the Data Engineering Center of Excellence and oversee standardized development best practices in data engineering across teams.
- Own Data Architecture and Data Governance for the Curinos Data Platform to ensure data privacy, compliance, and catalog requirements are met.
- Add new capabilities to the Curinos Data Platform to meet new requirements.
- Oversee ML Framework/infrastructure to establish and standardize MDLC.
- Oversee feature engineering and standardized metric development on Data Foundation to serve multiple use cases.
- Engage with business owners and product managers to drive business impact and value creation of Curinos data assets
The salary range for this position is 210K-235K USD
Qualifications
- 10+ years of experience in data engineering and analytics, with a focus on cloud-based solutions.
- Proven experience leading and building data & ML engineering teams and driving data-driven product development.
- Strong knowledge of data governance and privacy regulations.
- Strong understanding of data modeling, data warehousing, ETL and data pipeline development.
- Experience with ML frameworks, MLOps and monitoring models in production.
- Excellent communication and leadership skills.
- Experience in financial services industry is a plus.
- Master’s degree, preferably in computer science, or quantitative field required
Additional Information
Why work at Curinos?
- Competitive benefits, including a range of Financial, Health and Lifestyle benefits to choose from
- Flexible working options, including home working, flexible hours and part time options, depending on the role requirements – please ask!
- Competitive annual leave, floating holidays, volunteering days and a day off for your birthday!
- Learning and development tools to assist with your career development
- Work with industry leading Subject Matter Experts and specialist products
- Regular social events and networking opportunities
- Collaborative, supportive culture, including an active DE&I program
- Employee Assistance Program which provides expert third-party advice on wellbeing, relationships, legal and financial matters, as well as access to counselling services
Applying
We know that sometimes the 'perfect candidate' doesn't exist, and that people can be put off applying for a job if they don't meet all the requirements. If you're excited about working for us and have relevant skills or experience, please go ahead and apply. You could be just what we need!
If you need any adjustments to support your application, such as information in alternative formats, special requirements to access our buildings or adjusted interview formats please contact us at careers@curinos.com and we’ll do everything we can to help.
Inclusivity at Curinos
We believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, Curinos is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, color, ancestry, national origin, religion, or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other protected characteristics.
Tags: Architecture Computer Science Data Analytics Data governance Data Warehousing Engineering ETL Feature engineering Machine Learning MLOps Privacy
Perks/benefits: Career development Competitive pay Flex hours Flex vacation Health care Medical leave Team events
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open MLOps Engineer jobs
- Open Lead Data Analyst jobs
- Open Data Science Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Manager jobs
- Open Data Engineer II jobs
- Open Power BI Developer jobs
- Open Principal Data Engineer jobs
- Open Sr Data Engineer jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Data Analytics Engineer jobs
- Open Data Scientist II jobs
- Open Product Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Business Data Analyst jobs
- Open Data Analyst Intern jobs
- Open Big Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Azure Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Data Product Manager jobs
- Open Junior Data Engineer jobs
- Open Principal Data Scientist jobs
- Open GCP-related jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open Java-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open PhD-related jobs
- Open APIs-related jobs
- Open TensorFlow-related jobs
- Open PyTorch-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open CI/CD-related jobs
- Open Kubernetes-related jobs
- Open LLMs-related jobs
- Open Generative AI-related jobs
- Open Data governance-related jobs
- Open Hadoop-related jobs
- Open Airflow-related jobs
- Open Docker-related jobs