Senior Manager, Delivery Data Science & Analytics

To be considered for the Senior Manager, Delivery Data Science & Analytics position at Curinos, candidates should ideally have over ten years of experience in managing enterprise customers, particularly in the context of applying machine learning and data science in consumer-facing SaaS products. Additionally, knowledge of statistical inference, experiment design, and various machine learning techniques is crucial. A strong background in Python, SQL, and cloud data processing, along with exceptional communication skills, will also be essential for success in this role.

As a Senior Manager, Delivery Data Science & Analytics, you will partner with both business and technical leaders to shape client engagements, ensuring the correct application of advanced statistical and machine learning techniques to measure business outcomes. Your role will also involve establishing best practices in experimentation, translating business objectives into technical requirements, and managing a high-performing team that delivers exceptional client outcomes.

Curinos places a high value on collaboration, particularly for the Senior Manager, Delivery Data Science & Analytics role. You will engage with various teams—from product and engineering to applied machine learning—to ensure a seamless execution of solutions. Regular social events, networking opportunities, and an active DE&I program further foster an environment where collaboration thrives and every voice is valued.

In the Senior Manager, Delivery Data Science & Analytics position at Curinos, you’ll have a direct impact on how financial institutions leverage data to make informed business decisions. By applying your expertise in data science and analytics, you will drive strategic growth initiatives and optimize marketing solutions, ultimately enhancing the customer experience and increasing profitability for our clients.

Curinos seeks professionals who not only have strong technical skills in data science and analytics but also possess exceptional interpersonal and communication skills. Candidates for the Senior Manager, Delivery Data Science & Analytics role should be able to influence decision-making, mentor team members, and navigate discussions with both technical and non-technical stakeholders to ensure a data-driven approach to business strategies.

For the Senior Manager, Delivery Data Science & Analytics position at Curinos, familiarity with SQL and Python-based machine learning frameworks is advantageous. Moreover, experience working with large datasets in a cloud environment, as well as knowledge of generative AI and machine learning techniques like regression and classification, will be valuable assets to support the role effectively.

As a Senior Manager, Delivery Data Science & Analytics at Curinos, you will lead projects focused on enhancing the effectiveness of marketing strategies through advanced analytics and AI-driven solutions. This includes overseeing the deployment of marketing spend benchmarks and other analytical tools that empower our clients in the consumer banking sector to achieve better market outcomes.

When answering this question, focus on specific projects or experiences where you developed or applied machine learning models within SaaS environments. Discuss the types of models utilized, challenges faced, and how these solutions impacted business outcomes. Highlight your approach to ensuring the application of machine learning addressed practical consumer needs.

In responding to this question, detail techniques such as regression analysis, clustering, or time series analysis. Provide examples of when you applied these techniques in real-world scenarios, including how you translated findings into actionable insights for clients or your team.

Discuss your philosophy around team development, including hands-on training methods, encouraging continuous learning, and setting challenging but achievable goals. Share examples of how you've supported team members in achieving growth, whether through formal training or through informal guidance.

When addressing this question, recount a specific situation where your analytical insights prompted a change in strategy or approach from a senior stakeholder. Detail the data you presented, how it was received, and the outcome that resulted from your influence.

Frame your answer around your involvement in creating or implementing marketing analytics solutions, discussing the technologies, methodologies, and processes you engaged with. Highlight your understanding of marketing analytics challenges and how your solutions contributed to addressing these.

Explain your strategies for adjusting communication styles based on the audience. Provide examples where your adaptability resulted in clearer understanding across diverse groups, focusing on how you broke down complex concepts into digestible insights.

Detail your approach to gathering and defining business needs, prioritizing them, and translating these into detailed technical specifications for your team. Highlight any tools or methodologies you utilize, along with examples of successful project implementations.

Discuss specific challenges such as data quality issues or resistance from business stakeholders when implementing machine learning solutions. Emphasize the strategies you employed to overcome these hurdles, showcasing your problem-solving skills.

Share the resources you utilize, such as industry blogs, conferences, or online courses, to stay informed. Highlight any communities you're part of and how you apply new knowledge to your work, ultimately benefiting your team and clients.

Articulate the importance of experimentation in validating assumptions and ensuring that your machine learning models deliver targeted outcomes. Discuss frameworks you implement for experimentation and how they ensure high standards in analytics practices.