Pismo is hiring a
Sr. Manager Data & Insights, Remote - United States

Summary

The Analytics Team Lead at Pismo is responsible for creating and maintaining advanced analytics products, aligning stakeholders, conducting POCs, and moderating technical decisions on data architecture. The team lead will also contribute to a data-driven culture, work with multidisciplinary teams, and tutor other engineers.

Requirements

• Big Data Processing with Spark for at least batch processing
• Experience with Python, SQL and BI tools
• At least 5 years managing teams from which 4 years must be managing multi-disciplinary teams composed of 5 to 12 Data focused by professionals with at least 2 different profiles ( Engineering and Quantitative profiles): at least 1 Data Engineering profile (either Software Engineering, Data Engineering, Data infrastructure or Analytics Engineering) and at least 1 applied quantitative domain (Data Scientists,  Data Analytics, Advanced Business Analytics, Machine Learning Engineering)
• Negotiation and communication skills to deal with different levels of stakeholders

Responsibilities

• Align stakeholders around the team’s vision, goals, metrics and roadmap
• Build, improve and maintain trusted and scalable Data and Machine Learning Products
• Conduct POCs and establish partnerships to launch new products and features based on AI, Machine Learning, and predictive analytics
• Moderate and effectively contribute to technical decisions on data architecture, data warehouse modelling, build vs buy, evolving data Infrastructure stack and team practices over Analytics and Machine learning
• Conduct ad-hoc and exploratory data analysis identifying tendencies and patterns using complex data generating insights to support the company's strategic decisions
• Contribute actively nudging the company to a Data-driven culture by improving data-driven decision-making, data literacy, lineage and standards establishing common standards and supporting analytical tools to be used companywide
• Work and communicate clearly on multidisciplinary teams composed of business analysts, analytic engineers, data engineers, and data scientists
• As a senior leader we also expect you to tutor other engineers and organize complex cross-team initiatives that are related to your expertise
• Contribute to the dissemination of agile development culture and code review
• Act as a mentor to accelerate the technical career growth of your team members, peers and the company
• Provide effective feedback to the team's technicians
• Lead the implementation and maintenance of development processes, ensuring that everyone understands the benefits and trade-offs involved, and adjusting them as needed to improve the efficiency and effectiveness of the team

Preferred Qualifications

• (Desirable) Preferably with a Master's degree in quantitative fields (Mathematics, Software Engineering, Statistics, Physics, Economics or similar fields)
• (Desirable) Concrete previous hands-on experience as a Data Engineer, Analytics Engineer, Data Scientist, Software Engineer or Machine Learning Engineer
• (Desirable) Previous experience with quantitative research or proven experience with numerical Machine Learning algorithms (Time series, Tree-based, logistic regression, Support vector machines, Clustering, Panel Data, Value at Risk, and Bayesian Statistics) especially with transactional Data (transactions, user personalisation, fraud detection, financial analytics, asset management)
• (Desirable) Experience using Data Orchestration Systems (e.g. Airflow, Prefect, Luigi, DBT, or others) and Metadata management systems (Apache Atlas, Open Metadata or others)
• (Desirable) Experience Developing automated Unit and Integration tests for data pipelines
• (Desirable) Experience with cloud platforms (AWS, GCP, Azure)

Benefits

Pismo offers a competitive salary, stock options, and benefits package