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ING

Product Manager (Analytics)

ING is hiring a Product Manager (Analytics). Level rates it ; you can apply on ING.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this AI product manager role: the daily work is on AI products, without building the model.
  • The posting allows some remote work.
  • Tools and skills the posting cites include product management, data analytics and algorithmic products.
  • Level classifies it as a mid-level role.
  • Level lists 658 other open roles at ING.

AI in this role

Drive the development of data-driven algorithmic products and AI solutions in retail banking customer intelligence.

product-managementdata-analyticsalgorithmic-productscustomer-intelligenceagile

Think Forward! Our goal is to help people advance in life and business. We are a well-established brand with strong financials, global reach, and omni-channel strategies. If you value innovation, agile principles balanced with compliance and quality, reliable service, and a practical work approach, this is the place for you.

ING Analytics is a new unit responsible for realizing this vision for ING, differentiating ING as a leader in data-driven organization, within the banking sector and beyond. The team consists of a number of Global Analytics Centre of Excellences around the bank’s key capabilities (such as Pricing, Risk Management, Financial Crime, Customer Intelligence and People Analytics.) as well as strong coordination areas around data management, technology, customer journey, UX, as well as external partnerships.

About the Role

RBA in ING Analytics is looking for a Product Manager. As a Product Manager you will originate and build data-driven algorithmic products in customer intelligence area. This is an entrepreneurial and global role in an innovative international team.

What department?

Retail Banking Analytics specialises in delivering Analytics and AI products and solutions across the ING retail business. We work together with all retail business units to deliver on the ING retail banking strategy. Projects span across personalisation and customer intelligence, mortgages, consumer lending, and business banking.

Work Model

At ING Hubs Türkiye, flexibility is more than a benefit — it's part of how we work.

Our hybrid working model is designed to balance collaboration, innovation, and personal flexibility. Team members typically come together in our Vadistanbul office for two days per week during three weeks of the month, while one week each month is fully remote.

We also offer additional flexibility during August, allowing colleagues to work remotely throughout the month.

As part of a globally distributed organization, you'll collaborate with colleagues across multiple ING locations while contributing to large-scale AI initiatives that create impact across the bank.

What You’ll Do

  • Manage the entire analytics product development in prioritised area(s) in RBA – from outlining the type of solution through implementation, interpretation of results and transferring capabilities to business units, understanding and enthusiasm for technology, advanced analytics and data science methods
  • Product discovery: identify (data) problems, prioritize idea backlog and design and execute experiments to determine what problems need solving, Potential to extend product area when further grow.
  • Manage data-driven products so that they generate significant value for ING and its customers, create value propositions, vision and product strategy
  • Good understanding of innovation and product management methodologies such as Lean, Agile and Design Thinking, ability to develop structured product concepts from abstract ideas and lead prototyping
  • Effective Communication: Work with a squad of Data Scientists and Engineers to discover the potential of a product idea, the user problem and validate and prototype Demonstrate thought leadership internally and externally
  • Understanding of effective communication concepts, tools and techniques; ability to effectively transmit, receive, and accurately interpret ideas, information, and needs through the application of appropriate communication behaviors
  • Flexibility & Adaptability: Knowledge of successful approaches, tools, and techniques for dealing with changes and adapting to a changing environment; ability to adapt as needed
  • Problem Solving: Knowledge of approaches, tools, techniques for recognizing, anticipating, and resolving organizational, operational or process problems; ability to apply this knowledge appropriately to diverse situations
  • Analytical Thinking: Knowledge of techniques and tools that promote effective analysis and the ability to determine the root cause of diverse problems and create alternative solutions that resolve the problems in the best interest of the business

What You Bring:

  • Bachelor’s with analytical background, preferably in a quantitative discipline Mathematics, Engineering, Economics, MIS, Statistics etc. (Master’s degree or PhD will be a plus),
  • Broad experience leading and delivering analytics use cases and products is a must
  • Previous experience and proven knowledge of working in corresponding area is a plus.
  • 4+ years of relavant work experience
  • Excellent team member with an ability to clearly communicate at all levels of an organization in a collaborative and non-hierarchical environment
  • Excellent analytical skills and attention to details
  • Desire to use modern technologies as a disruptive influence,
  • Open-minded for new technologies.
  • Strong verbal and written communication skills in English and Turkish

Equal Opportunity

Don't meet every single requirement? Don't let that hold you back. Studies show many talented professionals hesitate to apply unless they meet every qualification. If you're excited about this role and believe you can make an impact, we'd love to hear from you.

What We Offer at ING Hubs Türkiye

At ING Hubs Türkiye, we believe that your work should be fulfilling in every way. We pay attention to even the smallest details to ensure that your experience is rewarding.

Be Yourself, Be an ING'er

  • Welcome Leave: Enjoy 14 days of welcome leave, even in your first year
  • Career Opportunities: Self-driven career paths and international opportunities
  • Personal Growth: Challenging work and continuous development
  • Dynamic Environment: Informal, vibrant, and collaborative culture
  • Innovation Culture: Explore and apply PACE methodology
  • Global Exposure: Participate in international projects and communities
  • Communication & Celebrations: Various communication activities and celebrations
  • Health Care: Comprehensive private health insurance for you and your family
  • Private Pension Plan
  • Meal Card
  • Transportation Allowance
  • MultiSport Membership
  • English Language Development Support
  • Remote working opportunities throughout August

How to Apply

Click the application button on our careers page and submit your application through Workday.

About ING

With 65,000 employees and operations in approximately 40 countries, there is no shortage of opportunities for people with initiative who want to help people take a step ahead in life and in business.

Do you want to work at the cutting edge of what's possible and at the same time ensure you work with integrity and hold the customer's interests at heart? Do you want to be surrounded by progressive, inspiring, diverse and supportive colleagues?

Then there is no better place to invest your talents than at ING.

Join us. Apply today.

About ING Hubs

Following ING's strategic ambition to deliver a superior experience to its customers worldwide, the hubs network contributes to fostering efficiency and digitalization across ING. Providing concentrated expertise along with scalable and sustainable solutions, the hubs focus on straight-through processing, delivering automated services like software development, data management and retail operations.

Present in Poland, Romania, Slovakia, the Philippines, Türkiye and Spain, ING Hubs employ more than 13,000 professionals in domains such as software development, data management, operations and non-financial risk.

Discover ING Hubs Türkiye

ING Hubs Türkiye is looking for talents to join an international network of professionals. Building on an existing framework and shared mission, our up-and-coming team will bring its unique personality and skills set to provide borderless services with bank-wide capabilities.

We value strong work ethics, knowledge sharing and flexibility in our way of working – it is both our promise to you and what we look for in new colleagues.

Let's meet!

How we rate this

Product Manager (Analytics) at ING rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Product ManagementData AnalyticsAlgorithmic ProductsCustomer IntelligenceAgile

Also common in AI product manager jobs at this level

Pay

Typical AI product manager job
$178k

This posting doesn't list pay. Use the typical AI product manager figure when pay comes up. See AI product manager jobs

Questions you could be asked

  1. Tell me about a project where product management was part of your work. What did you do?
  2. Tell me about a project where data analytics was part of your work. What did you do?
  3. Tell me about a project where algorithmic products was part of your work. What did you do?
  4. Tell me about a project where customer intelligence was part of your work. What did you do?
  5. Tell me about a project where agile was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Product Management, Data Analytics, Algorithmic Products, Customer Intelligence, and Agile. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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