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Senior Manager, Delivery Data Science & Analytics

Company Description

Curinos empowers financial institutions to make better, faster and more profitable decisions through industry-leading proprietary data, technologies and insights. With decades-long expertise in the financial services industry and a relentless focus on the future, Curinos technology and analytics ecosystem allows clients to anticipate customer needs and optimize their go-to market decisions in an increasingly competitive market.

Curinos operates under a hybrid modality. This individual may work from the Chicago or New York City office. 

Job Description

We’re looking for an experienced data science and analytics leader to join our Marketing Solutions team to deliver our suite of Analytical Marketing Solutions in the consumer banking vertical. The two solutions include a marketing spend benchmark and an AI- and ML-based marketing optimization engine.  You are passionate about our clients’ success and therefore you educate them on the correct application scientific marketing to their use cases, and partner with internal product and applied ML teams to deliver Curinos’ value proposition in a repeatable and scalable way. You drive excellence into your team’s everyday activities and bring rigor and observability to client engagements. You work collaboratively with Delivery Strategists to ensure clients at all levels use the Curinos data and/or leverage the platform in a way that drives productive outcomes. You influence peers and senior executives in setting strategic goals based on your deep knowledge of data science and clients’ needs.

Responsibilities

  • Partners with business and technical leaders, including senior executives, in shaping engagements with our clients. 
  • Establishes and evangelizes best practices in experimentation and influences internal and external stakeholders in maturing their experimentation mindset.
  • Influences internal and external stakeholders in the rigorous application of statistical, machine learning and AI approaches that ensure correct measurement of business outcomes.
  • Translates business objectives into technical requirements and partners with product, engineering and applied ML teams to drive their repeatable and scalable productization.  
  • Adapts communication styles in real-time based on the audience and situation; effectively negotiates prioritization of key projects and initiatives with other senior leaders at the company and with third-party stakeholders
  • Recruits, coaches, and develops a high quality and diverse range of individual contributors and people managers, both driving continued improvements in short-term performance and investing in longer term growth and development

Qualifications

  • You have 10+ years' experience and a demonstrable track record of successfully managing enterprise customers in the correct application of machine learning and data science in consumer-facing SaaS products. Experience in scientific marketing contexts is a plus.
  • You can demonstrate knowledge of statistical inference, experiment design, probability, sampling methodologies, regression, classification, clustering, data mining, time series analysis, causal inference analysis, and deep learning techniques. Experience with generative AI and LLMs is a plus.
  • You have working knowledge of SQL and of Python-based machine learning frameworks and have worked with large datasets in a cloud setting.
  • You have exceptional communication skills that can be delivered in the context of your audience from deep science to business decision-makers.
  • You have exceptional interpersonal and communication skills and an ability to influence others around you towards data-driven business goals.
  • You have managed teams of data scientists and analysts.
  • You hold an advanced degree (PhD preferred) or equivalent career experience in Computer Science, Applied Mathematics, Statistics or a related technical discipline

Compensation Range: $140,000 to $160,000 base with bonus potential

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 [email protected] 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.

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What You Should Know About Senior Manager, Delivery Data Science & Analytics, Informa Group Plc.

Curinos is on the hunt for a Senior Manager, Delivery Data Science & Analytics to join our Marketing Solutions team right in the heart of New York City. In this exciting role, you will manage our suite of Analytical Marketing Solutions specifically tailored for the consumer banking vertical. With a focus on marketing spend benchmarks and a cutting-edge AI-based marketing optimization engine, you will be at the forefront of innovative solutions that help our clients thrive. Your mission? To empower financial institutions to make swift, informed, and profitable decisions by educating them on the best practices in scientific marketing. You will liaise with internal product and applied machine learning teams to ensure our value proposition is consistently delivered in a scalable manner. Excellence is your standard—driving rigorous and observant client engagements will be top of mind as you partner with Delivery Strategists, ensuring that all clients leverage our data effectively. You're not just a leader; you're an influencer, able to shape strategic goals and practices that align with your deep understanding of data science and client needs. If you're ready to delve deep into experimentation, deliver actionable insights, and manage a talented team of analysts and data scientists, this might be the perfect fit for you. Join us at Curinos, where a collaborative and inclusive culture awaits, along with competitive benefits and plenty of opportunities for professional growth!

Frequently Asked Questions (FAQs) for Senior Manager, Delivery Data Science & Analytics Role at Informa Group Plc.
What does a Senior Manager, Delivery Data Science & Analytics do at Curinos?

At Curinos, the Senior Manager, Delivery Data Science & Analytics is responsible for leading the delivery of Analytical Marketing Solutions in the consumer banking vertical. This role includes partnering with business and technical leaders, establishing best practices in experimentation, and ensuring clients utilize our data to achieve productive outcomes. The manager also recruits and develops their team to drive improvements in performance.

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What qualifications are needed for the Senior Manager, Delivery Data Science & Analytics role at Curinos?

Candidates for the Senior Manager, Delivery Data Science & Analytics position at Curinos should have over 10 years of experience in managing enterprise customers in the application of machine learning and data science. A strong background in statistical inference, experiment design, and exceptional communication skills is essential. An advanced degree in a related technical field is preferred.

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How can I apply for the Senior Manager, Delivery Data Science & Analytics position at Curinos?

To apply for the Senior Manager, Delivery Data Science & Analytics role at Curinos, you should submit your application via our careers page. We encourage candidates who may not meet all requirements to apply, as we value diverse skill sets and experiences.

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What are the benefits of working as a Senior Manager, Delivery Data Science & Analytics at Curinos?

Working at Curinos as a Senior Manager, Delivery Data Science & Analytics offers competitive financial and health benefits, flexible working options, generous time off policies, and opportunities for professional development. You’ll join a collaborative environment with networking opportunities and a supportive culture.

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What makes Curinos a unique workplace for a Senior Manager, Delivery Data Science & Analytics?

Curinos stands out as a unique workplace due to its commitment to inclusivity and diversity, along with a focus on personal and professional growth. The company fosters a collaborative culture and actively engages employees through social events and a strong DE&I program.

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What skills will be important for success as a Senior Manager, Delivery Data Science & Analytics at Curinos?

Success in the Senior Manager, Delivery Data Science & Analytics role at Curinos requires exceptional communication, the ability to influence stakeholders, and a deep understanding of statistical methods and machine learning. Additionally, leadership skills that promote team development and collaboration are crucial.

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What technology and tools will I work with as a Senior Manager, Delivery Data Science & Analytics at Curinos?

As a Senior Manager, Delivery Data Science & Analytics at Curinos, you will work with state-of-the-art machine learning frameworks, SQL, and large datasets in a cloud environment. Familiarity with AI techniques, including generative AI and LLMs, will also enhance your effectiveness in this role.

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Common Interview Questions for Senior Manager, Delivery Data Science & Analytics
Can you describe your experience with data science and analytics leadership?

When answering this question, focus on specific instances where you led data science initiatives, the methodologies you implemented, and the impacts your leadership had on project outcomes. Highlight your ability to motivate and build a team while aligning initiatives with strategic business goals.

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How have you utilized machine learning techniques in previous roles?

Use this opportunity to detail your hands-on experience with machine learning. Discuss specific projects where you applied techniques like regression, classification, or deep learning, explaining your thought process, challenges faced, and the results achieved from your implementations.

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What strategies do you use for stakeholder engagement and management?

Highlight your approach to effectively communicate with diverse stakeholders by adapting your communication style based on the audience. Discuss particular strategies you've used to gain buy-in or influence decision-making in complex projects.

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Can you walk us through an experiment you designed and its outcomes?

Describe a specific experiment that showcases your knowledge in experiment design and statistical inference. Be sure to detail the objectives, methodologies used, and what insights were drawn from the results to inform business decisions.

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How do you stay updated on the latest trends and techniques in data science?

Demonstrate your commitment to professional development by discussing the resources you utilize, such as industry publications, online courses, or conferences you attend. Mention any key blogs or thought leaders you follow for new insights.

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How do you prioritize projects in a fast-paced environment?

Explain your process for project prioritization, including how you assess project impacts, manage stakeholder expectations, and ensure your team's efforts align with key business objectives. Share tools or frameworks you use for effective prioritization.

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What is your approach to fostering a diverse and inclusive team?

Share specific strategies you've enacted to build diverse teams and promote an inclusive culture. This can include mentorship programs, outreach efforts, and how you ensure voices from all backgrounds are heard in decision-making processes.

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Can you provide an example of a challenging situation you faced as a data science leader?

Reflect on a significant challenge you encountered, how it affected your team or projects, and the steps you took to resolve it. Emphasize your problem-solving abilities and what you learned from the experience.

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How do you measure the success of your data science initiatives?

Discuss key performance indicators (KPIs) and metrics you've established to evaluate the effectiveness of your initiatives. Highlight the importance of aligning these measurements with broader business goals and stakeholder expectations.

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Why do you want to work as a Senior Manager, Delivery Data Science & Analytics at Curinos?

Express your enthusiasm for Curinos and the specific aspects of their work that attract you, such as their focus on financial institutions, commitment to innovation, or collaborative culture. Highlight how your background and goals align with the company's mission.

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Informa plc is a multinational publishing, business intelligence, and events group. The company was founded in 1998 and is headquartered in London, United Kingdom.

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Full-time, hybrid
DATE POSTED
November 26, 2024

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