Technical Product Manager - Advanced Data Analytics

Job Description

Our company’s enterprise data and analytics function, “CDNA,” is responsible for solving enterprise-wide data and analytics problems in a customer-centric, product-driven manner. CDNA is an enterprise accelerator for enterprise-wide data and analytics organizations with scope from data discovery and identification to data acquisition and integration, advanced analytics, consumption and insights, and cognitive capabilities. Driven by supremely talented and passionate professionals, CDNA’s mission is to enable our business divisions to do analytics at hype, velocity, and scale.

This position will be part of CDNA’s “Advanced Analytics” function and will provide strategic and technical leadership in delivering various product capabilities.

The Opportunity

Are you an innovative technical expert eager to make a significant impact in a product-centric data and analytics organization within a large enterprise? Are you looking for an opportunity to help various products and services teams in building modular solutions and enabling a fully integrated end-to-end customer journey? We are seeking individuals who can leverage their technology skills and strengths to drive the success of our analytics products and services. Beyond just platforms and technologies, we are focused on building actual value-added, self-serve data and analytics products, and we want you to be a part of this exciting initiative.

As the Technical Product Manager, your role will be pivotal in ensuring the timely delivery of the AI/MLOps product roadmap. You will collaborate with stakeholders across the organization, including business partners, and you will identify requirements and translate them into technical specifications. Working closely with architects and engineers, you will design, develop, and deliver innovative product capabilities. You will also ensure that the necessary support is provided for existing and new product features.

This is an exceptional opportunity to be at the forefront of enterprise-wide data and analytics, driving innovation and impact across the organization.

What you'll do 

• Collaborate with cross-functional teams, including data scientists, engineers, and stakeholders, to define and refine the technical requirements for our products.
• Work closely with Product Managers to translate business requirements into actionable technical specifications and ensure alignment between business and technical needs.
• Collaborate with engineering teams to estimate release timelines, ensure timely delivery of product updates, and plan/execute product development with optimal implementation.
• Define and prioritize features and enhancements based on technical feasibility, scalability, performance, and user experience.
• Collaborate with data scientists and engineers to integrate algorithms, models, and data pipelines into our platforms, ensuring the smooth functioning of analytics capabilities.
• Coordinate with the enablement team to ensure proper operational coverage of the products in alignment with adoption strategies.
• Conduct thorough testing and quality assurance measures to ensure the reliability, robustness, and accuracy of our platforms.
• Ensure adherence to SDLC guidelines for each product release, ensuring efficient and effective development and deployment practices.
• Conduct solution reviews and guide engineering teams in building optimal and reusable solutions.
• Identify and harness collaborative opportunities with technical leads across different products to facilitate knowledge exchange.
• Stay updated with emerging technologies, tools, and frameworks in data science, machine learning, and analytics, conducting proofs-of-concept to assess their potential value and capabilities in our products.

What you need to succeed

• Strong technical expertise and knowledge of a wide range of modern data and analytics technologies within the AWS ecosystem as well as on-premises
• Extensive experience developing systems in cloud environments.
• Expert understanding of data science and analytics principles, modeling concepts, and industrialization methods.
• Expert knowledge of the AWS cloud ecosystem, including storage, database, streaming, messaging, AI/ML, cognitive, and scalability services like EKS.
• Understanding of self-serve product-centric data analytics principles.
• Expert-level knowledge of Databricks, Dataiku, Posit, SageMaker, and similar is needed.
• Hands-on experience with MLOPs and DevOps technologies such as GitHub, Git CI/CD, and Jenkins, as well as automation of model deployments.
• Excellent interpersonal and communication skills; adept at working with colleagues from diverse disciplines and at all levels of the company, articulating complex technical topics at the right level of detail for specific audiences.
• Proven ability to execute consistently, rapidly, and effectively.
• Organizational skills, with the ability to navigate a matrix environment and efficiently prioritize work.
• Strong product and customer centricity with a laser focus on business value proposition and business value realization is a must.
• Ability to work in a fast-paced environment and manage multiple projects simultaneously.

What we offer 

 

• Exciting work in a great team, global projects, international environment 
• Opportunity to learn and grow professionally within the company globally 
• Hybrid working model, flexible role pattern (e.g., even 80% full-time is possible in justified cases) 
• Pension and health insurance contributions 
• Internal reward system plus referral programme 
• 5 weeks annual leave, 5 sick days, 15 days of certified sick leave paid above statutory requirements annually, 40 paid hours annually for volunteering activities, 12 weeks of parental contribution 
• Cafeteria for tax free benefits according to your choice (meal vouchers, Lítačka, sport, culture, health, travel, etc.), Multisport Card 
• Vodafone, Raiffeisen Bank, Foodora, and Mall.cz discount programmes 
• Up-to-date laptop and iPhone 
• Parking in the garage, showers, refreshments, massage chairs, library, music corner 
• Competitive salary, incentive pay, and many more 

Current Employees apply HERE

Current Contingent Workers apply HERE

Search Firm Representatives Please Read Carefully 
Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company.  No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. 

Employee Status:

Regular

Relocation:

VISA Sponsorship:

Travel Requirements:

Flexible Work Arrangements:

Hybrid

Shift:

Valid Driving License:

Hazardous Material(s):

Required Skills:

Asset Management, Benefits Management, Management System Development, Product Management, Requirements Management, Stakeholder Relationship Management, Strategic Planning, System Designs

Preferred Skills:

Job Posting End Date:

07/14/2024

*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.