Data & AI Strategy · Personalization · Customer Lifetime Value

    Turning Data into strategic clarity and business growth.

    Maryam partners with senior leaders to turn data and AI ambitions into practical, scalable strategies from governance and operating models to personalization, customer lifetime value and customer segmentation that drives better decisions.

    Dr. Maryam Ramezani-Bartsch

    Two decades of leadership across

    Zalando
    adidas
    Sky
    Delivery Hero
    GoStudent
    GroupM (Xaxis)
    SAP
    IBM
    Expertise

    Where data meets strategy.

    Data & AI Strategy & Operating Models

    Building data and AI organisations, governance and 4P alignment from KPI to capability.

    Data Mesh & Decentralization

    Turning central IT data bottlenecks into agile, domain-owned data products that scale.

    Data Governance & Quality Foundations

    Building the architecture, KPI frameworks, glossaries, catalogs, and data contracts that enable trusted, high-quality Data and AI applications.

    Personalization & Customer Lifetime Value (CLV)

    Next-best-action, recommendation engines and 1:1 experiences that make every customer interaction more valuable and drive life time value

    Applied AI & Decision Science

    Machine learning and agentic AI systems that translate data into autonomous, revenue-generating decisions.

    Change Management & Data Literacy

    Upskilling non-technical executives so the organisation adopts the modern data stack you design.

    Customer Science

    Segmentation, CLV, churn and lifetime models that make customers legible across the journey.

    Experimentation & A/B Testing

    Hypothesis frameworks, playbooks and impact measurement that scale across product orgs.

    Marketing Intelligence

    Driver trees, ROI frameworks and budget allocation across markets, brands and channels.

    Who I work with

    C-level leaders who want real value from data and AI.

    C-Suite & Board Leaders

    CEOs, CFOs and COOs who need data and AI to drive strategic decisions, operational efficiency and competitive advantage at board level.

    Chief Data & AI Officers

    CDOs, CAOs and VP Data leaders building modern data organisations, governance and AI transformation from the ground up.

    CMOs & Chief Growth Officers

    Marketing and growth leaders activating customer data, personalisation and AI to unlock measurable revenue, retention and lifetime value.

    CTOs & Engineering Leaders

    Technical leaders modernising data infrastructure, evaluating AI platforms and bridging engineering with business value.

    Analytics & Business Intelligence Leaders

    Directors and VPs turning fragmented reporting into governed, actionable intelligence that leadership trusts.

    Every company will have AI. Not every company will know how to trust it. The ones who do will have built three things: a governed data foundation, a causal understanding of what drives their business, and learning loops that make their AI smarter with every decision.
    - Dr. Maryam Ramezani-Bartsch
    Testimonials

    What leaders say about Maryam

    "Maryam is one of the strongest data leaders I’ve worked with. At GoStudent, she consistently demonstrated a rare combination of strategic thinking, business understanding, and deep technical expertise across the entire data stack from data engineering to analytics and decision-making. While initially focused on marketing analytics, she quickly identified opportunities beyond her scope and played a key role in helping scale our data function. Maryam was instrumental in shaping our operating model, aligning stakeholders, and building sustainable processes and capabilities that enabled the team to support the business more effectively. She has an exceptional ability to connect strategy with execution and turn complex challenges into scalable solutions. Any organization looking to build a high-impact data function would be fortunate to have her."
    Laura Warnier
    ex-Chief Growth Officer, GoStudent
    "Maryam is an inspiring leader who is not afraid to challenge the status quo and explore unconventional paths. She combines strong data and analytics expertise with deep business understanding, always balancing immediate organisational needs with long-term thinking. As a leader, she is brave, empowering, and genuinely believes in her team members. Working for Maryam was incredibly motivating because of the confidence and energy she brought to the team. Her mindset and leadership style have stayed with me even today."
    Ursula Krause
    VP Data, Sky Deutschland
    "Maryam is ahead of the curve. Leading analytics for Customer Facing Applications at Zalando, she turned customer segmentation into something teams could actually act on, and pushed AI enablement into the analytics function before most organizations had a plan for it. She sees where data and AI are heading and builds toward it."
    Antonella Stellacci
    VP Product, Zalando
    "Maryam doesn’t just bring long standing expertise in the field of data and AI. She leverages it to create strong visions for the future. Visions that turn tech into clear value for consumers and companies."
    Lydia Mammen
    VP Digital Analytics, adidas
    "What stands out about Maryam is her drive. She is courageous to walk and succeed in new paths."
    Rosa Markarian
    VP Product, GroupM
    "Maryam is a top data expert and leader, with a relentless energy to bring us forward, and above everything: her strong human touch."
    Jacques Ohannessian
    Senior Director, Customer Analytics, Adidas
    "Maryam is an incredible person - humble, curious, intelligent and insightful. She is constantly learning and building her own knowledge to benefit others around her. "
    Lucy Thomas
    Chief Data Officer, Sky
    Advisory

    Working with a complex data challenge?

    • Where should we start our AI journey and what foundations do we need first?
    • How do we design an operating model where data, analytics and business teams actually collaborate?
    • Do we need a CDP and which one?
    • How do we build data governance that enables AI rather than blocking it?
    • Should we centralise or decentralise our data organisation — and how?
    • How do we build a segmentation strategy that actually drives decisions?
    • How do we get non-technical executives to adopt the modern data stack we design?
    • How do we measure the true ROI of our marketing?
    Let's Talk
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