Hiring.Camp

Analytics & AI Senior Manager

Pwc

·

Feb 5, 2026

Location
Warszawa - Polna 11, Poland
Workplace
Hybrid
Type
Full-time
Seniority
Senior
Source
Workday

Description

Job Description & Summary

In PwC Poland’s Digital& we create innovative applications and deliver data-driven insights by combining software engineering expertise with advanced data analysis, including Generative AI applications. Our capabilities span across data science, UX design, business intelligence, data engineering, frontend & backend development, and cloud solutions. Our multidisciplinary approach ensures that we deliver comprehensive, impactful solutions that drive business success. We carry out projects in various industries, including banking, insurance and retail, supporting clients from our local CEE region, Europe, the USA, and the Middle East.

We are looking for:

Analytics & AI Senior Manager

Your future role:

  • Support business development efforts by identifying new opportunities, crafting compelling proposals, and contributing to sales pitches to expand PwC's Digital& team’s service offering predominantly in Analytics & AI but also in relation to Application Development and Intelligent Process Automation capabilities,

  • Collaborate closely with business stakeholders to develop thought leadership, go-to-market strategy, new offerings and value proposition of current and future PwC's services in Analytics & AI and related capabilities,

  • Focus on one of the three industries: Financial Sector, Consumer Markets, TMT,

  • Act as Analytics & AI industry lead for one of these industries,

  • Collaborate with broader Analytics & AI team with regards to project delivery as well as Business Development account managers focusing on specific priority clients within the industry,

  • Supervise delivery of your portfolio of projects,

  • Mentor and guide junior team members, supporting their professional growth and development within the field of Analytics & AI.

Apply if you have:

  • 10+ years of relevant business experience, especially in consulting or one of the three industries: Financial Sector, Consumer Markets, TMT,

  • Excellent analytical and problem-solving skills, including the ability to independently disaggregate issues, identify root causes and recommend solutions,

  • Ability to work under time pressure and meet deadlines,

  • Excellent English speaking and communication skills essential to work with overseas clients.

By joining us you gain:

  • Work flexibility – hybrid working model (min. 2 days in the office per week), flexible start of the day, workation, sabbatical leave,

  • Development and upskilling – our full support during onboarding process, mentoring from experienced colleagues, training sessions, workshops, certification co/financed by PwC and conversations with native speaker,

  • Wide medical and wellbeing program – medical care package (incl. dental care, freedom of treatment, physiotherapy), coaching, mindfulness, psychological support, education through dedicated webinars and workshops, financial and legal counseling,

  • Possibility to create your individual benefits package (a.o. lunch pass, insurance packages, concierge, veterinary package for a pet, massages) and access to a cafeteria – vouchers, discounts on IT equipment and car purchase,

  • 3 paid hours for volunteering per month,

  • Additional paid Birthday Day off,

  • And when you start enjoying PwC as much as we do, you may recommend your friend to work with us.

Recruitment process:

  • Submit your resume,

  • Have a short phone conversation with our Recruiter,

  • Let’s get to know each other better in the interview!

​Should you have any questions, please do not hesitate to reach out to us: [email protected]. Please note that this email is not designated for application submissions.

Your personal data will be processed for recruitment purposes by PwC Advisory sp. z o.o. sp.k. or another PwC entity which runs a recruitment process – (list of entities). If you have given separate consent, data will also be processed for other purposes in accordance with the content of the consents granted. Full information about processing your personal data is available in the Privacy Policy.

#LI-MT1

Skills

Data ScienceData EngineeringUX Design

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