Sr. Manager Data Engineering - Horizon3 Labs

The role Senior Manager, Data Engineering is a key role responsible for leading and managing the Horizon3 Labs data and architecture platform and services. This role will work very closely with the global D&A Data Engineering and Architecture teams to ensure full integration for data sources, architecture design and delivery of use cases is compliant with Unilever global standards. The role is responsible for leading a team of data engineers engaged in Horizon3 Lab projects and ensuring delivery of tasks in full and on time. Reporting to the Head of AI Horizon3 Labs, the Senior Manager, Data Engineering will be part of the Horizon3 Labs leadership team and work closely with both governance and technical leadership to ensure program completion and successful delivery of initiatives.

Job Responsibilities

• Closely collaborate with and foster strategic relationships with GDT global data and architecture teams.
• Lead the design and implementation of all data assets and services related to H3L innovation initiatives.
• Additionally, organize, guide and align multiple project sub-teams and competing stakeholders, toward a common goal with clear timelines for delivery.
• The Senior Manager, Data Engineering will attain a detailed understanding of the ‘end to end’ scope of the H3L plan and will be at the heart of data and architecture decision making and execution.
• This role requires the ability to work with and influence senior stakeholders in both business and DF/GDT space.
• Key Responsibilities:
• Design, develop and implement sustainable future fit engineering and architecture solutions supporting the roadmap and successful delivery of H3L innovation projects and initiatives.
• Design, develop solutions ensuring ease of application support by DevOps by designing both technical and process aspects.
• Drive excellence in data engineering processes for intelligent data solutions across data ingestion/data pipeline frameworks, intelligent design & harmonisation, data warehouse & data lake architectures, cognitive computing, and cloud services within the scope and operating model of H3L.
• Foster strong partnerships with AI practitioners, data science, tech and governance teams within H3L as well as enterprise & solution architects and other stakeholders to understand data needs and processes and provide data solutions that drive successful delivery of AI innovation use cases.
• Partner with Microsoft, Databricks and other technology vendors managing vendor relationships for data-related services and solutions to meet H3L needs.
• Enforce adoption of brilliant basics – architecture design, data design and modelling, data provisioning, cost optimisation, security and other best practices through H3L delivery teams and within the data engineering function.
• Nurture a high-performing data engineering team through mentoring, training, and career development, fostering a collaborative and positive work environment that encourages growth and innovation.
• Drive adherence to GDT strategy and best practices across Unilever

Stakeholder Management

• AI Hub and D&A Leadership Team (esp. Data Science and AI Global Leads, HR Lead, Finance Business Partner, AI Hub Technology Leads).
• Global D&A Data ad Architecture Teams.
• External Technology Partners (Microsoft etc.).

Required Qualifications

• Experience in building data engineering / architectures solutions to meet the long-term business objectives at scale, with the agility to flex to deliver urgent requirements.
• Hands on experience in data architecture, design, implementation, and design of modern Data & AI Solutions (i.e. new data strategies and designs across all data platforms (relational, dimensional, and NoSQL) and data tools)
• Stakeholder management in a matrix organization, and partnership with exec leaders of technology vendors, influencing product roadmaps.
• Detailed knowledge of current and emerging analytics, AI, data, and technology trends, delivering leading edge capabilities whilst managing quality, complexity, total cost of ownership, security, risk and maintainability.
• Strong knowledge of the data lifecycle management & design patterns
• Working knowledge of Azure stack, Databricks, SQL and Python.
• Understanding of Big data framework
• Working knowledge of Spark Framework
• Working knowledge of Data Modelling (entity, dimensional and Graph type modelling)
• Ability to influence Tech Product roadmaps.
• People leadership and talent development experience.
• FMCG or related experience
• Agile methodology and practice
• Graduate Degree in a technical field (Engineering, Computer Science, Statistics), Masters/PHD an asset.

Pay: The pay range for this position is $113,900-$156,600. Unilever takes into consideration a wide range of factors that are utilized in making compensation decisions including, but not limited to, skill sets, experience and training, licensure and certifications, qualifications and education, and other business and organizational needs.

Bonus: This position is bonus eligible.

Long-Term Incentive (LTI): This position is LTI eligible.

Benefits: Unilever employees are eligible to participate in our benefits plan. Should the employee choose to participate, they can choose from a range of benefits to include, but is not limited to, health insurance (including prescription drug, dental, and vision coverage), retirement savings benefits, life insurance and disability benefits, parental leave, sick leave, paid vacation and holidays, as well as access to numerous voluntary benefits. Any coverage for health insurance and retirement benefits will be in accordance with the terms and conditions of the applicable plans and associated governing plan documents.

Unilever uses artificial intelligence tools in the hiring process to screen or assess applicants. However, hiring decisions will be made by the line manager and in accordance with applicable employment standards and human rights laws. All information collected, used or disclosed during the application and interview process will be subject to Unilever’s Privacy Policy.

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Unilever Canada is an organization committed to diversity and inclusion to drive our business results and create a better future every day for our diverse employees, global consumers, partners, and communities. We believe a diverse workforce allows us to match our growth ambitions and drive inclusion across the business. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity or expression, age, national or ethnic origin, marital status, family status, disability, genetic characteristics, and a conviction for which a pardon has been granted.

If you are an individual with a disability in need of assistance at any time during our recruitment process, please contact us at NA.Accommodations@unilever.com. Please note: These lines are reserved for individuals with disabilities in need of assistance and are not a means of inquiry about positions or application statuses.

Unilever Canada est une organisation engagé à la diversité et à l'inclusion pour stimuler nos résultats d'affaires et créer un meilleur avenir chaque jour pour nos employés, les consommateurs globaux, les partenaires et les communautés. Nous croyons qu'un effectif diversifiée nous permet de faire correspondre nos ambitions de croissance et de stimuler l'inclusion dans l'entreprise. Tous les candidats qualifiés recevront la considération pour un emploi sans égard à la race, la couleur, la religion, le sexe, l'orientation sexuelle, l'identité ou l'expression de genre, l'âge, l'origine nationale ou ethnique, l'état matrimonial, la situation familiale, l'invalidité, les caractéristiques génétique, et une condamnation pour laquelle un pardon a été accordée.

Si vous êtes une personne handicapée qui a besoin d'aide à tout moment au cours de notre processus de recrutement, veuillez communiquer avec nous au NA.Accommodations@unilever.com. Veuillez noter: ces lignes sont réservées aux personnes handicapées ayant besoin d'aide et ne sont pas un moyen d'enquêter sur les postes.