S

Senior Analytics Product Manager

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Job Description - Senior Analytics Product Manager

Are you a
strategic thinker passionate about turning data into action? Do you thrive at
the intersection of business and analytics, leading innovative products that
deliver measurable impact? Join us as a Senior Analytics Product Manager and drive the development and deployment of analytics solutions that shape
business decisions and create real value.

Job
Purpose:

Drive the delivery of the analytics product strategy through the development
and deployment of a portfolio of innovative products that generate measurable
business value. A Senior APM leads communication with senior functional and
regional stakeholders, acting as a strategic bridge between business and
analytics teams. You will share insights, align cross -functional priorities,
and proactively shape the roadmap of analytics products based on evolving
business opportunities.

Key
Responsibilities:

Analytics
Product Development

  • Own and manage the end -to -end product
    lifecycle from concept to launch, including market needs, product vision,
    and strategy.

  • Develop detailed product requirements
    and specifications for innovative analytics products (alongside the
    product owner).

  • Work closely with data analysts, data
    scientists, engineers, and UX designers to drive product development in a
    lean/agile environment.

  • Create transparent communication to
    manage stakeholder engagement, validating product concepts and optimizing
    product development.

  • Evaluate competitive offerings to
    ensure that our analytics product maintains its leadership in the
    marketplace.

Analytics
Product Deployment

  • Coordinate with cross -functional
    teams to ensure smooth product deployment (incl. change management).

  • Establish and maintain strong
    relationships with key stakeholders to ensure that product solutions are
    aligned with business needs.

  • Work closely with customer -facing
    teams to develop and implement training and support materials.

  • Measure product performance and
    optimize based on gathered data and user feedback.



Requirements

Qualifications:

  • BSc/BEng/BComm in a quantitative
    related field; equivalent work experience accepted. Master’s degree
    preferred.

  • 5+ years in product, analytics, tech,
    or consulting roles, including leadership of complex projects or
    portfolios.

Must Have:

  • Strong strategic communication
    skills, executive -level messaging, with demonstrated ability to influence
    and align senior stakeholders across functions and regions.

  • Proven experience managing a
    portfolio of analytics or data -driven products with varying scope and
    complexity.

  • Joint ownership with senior business
    leaders of portfolio prioritisation, sequencing, and investment
    trade -offs.

  • Excellent project and stakeholder
    management skills, with structured problem -solving capabilities.

  • Ability to define and execute product
    strategy and communicate actionable insights to technical and
    non -technical audiences.

  • Experience leading teams in agile
    environments (e.g., backlogs, sprints, user stories, iterative design).

  • Track record of translating business
    problems into scalable analytics solutions that deliver tangible business
    value.

  • Demonstrated ability to drive
    prioritisation and delivery across multiple concurrent initiatives,
    balancing business impact and resource constraints.

  • Deep experience managing full product
    lifecycles in cross -functional settings.

Nice to Have:

  • Experience in data analysis, machine
    learning, or related field.

  • Experience working in or delivering
    analytics solutions within the FMCG sector.

  • Familiarity with data platforms,
    governance principles, and AI/ML product development pipelines.

Leadership
Competencies:

  • Mentorship: Guides and develops domain experts
    across the analytics portfolio.

  • Vision and Direction: Provides clear strategic direction,
    aligning teams around a shared vision and long -term objectives.

  • Influence and Impact: Builds credibility with senior
    stakeholders; drives decisions without formal authority.

  • People Development: Coaches product owners and
    cross -functional teams to foster growth and capability building.

  • Collaboration: Promotes shared ownership and
    teamwork across analytics, technology, and business functions.

  • Change Leadership: Leads transformation initiatives by
    creating buy -in, managing resistance, and ensuring readiness.

  • Execution Excellence: Sets high standards for delivery,
    ensures accountability, and drives operational discipline.

  • Resilience and Adaptability: Maintains composure under pressure,
    navigates ambiguity, and adapts quickly to changing business priorities.

If you’re ready
to lead the future of analytics, influence strategic decisions, and make data
work harder for the business, we want to hear from you!

 



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