Data & Business Technology Manager

5 days ago

Taguig, National Capital Region, Philippines Unilever Full time
Unilever Food Solutions (UFS)

Unilever Food Solutions (UFS) PH aims to achieve PHP6B in 2024 and achieve 15% YOY growth from hereon + foodservice division of Unilever. It leads the dynamic Food Service market across its categories and has ambitious growth objectives, marketing a range of professional savoury, dressings products and services to chefs across the country.

Currently UFS relies on sales reps visiting chefs to generate demand. Broadcast communication mediums are not yet developed, which limits the pace of growth. Digital offers a huge opportunity and future growth for UFS depends on evolving the business model and developing contact strategies to reach the 95% of operators we do not visit. Ambitious targets to transform our business towards a more digitally advanced one have been agreed with the Global board and set in motion.

Main Purpose Of The Job

As Data & Business Technology Manager, they will be responsible for managing team members under Data Analytics & Tech Team and provide strategy/ roadmap supporting the topline and profit ambition of the country.
  • Building the culture of digital transformation through a Future-Fit UFS PH to drive topline and profit.
  • Managing the automated monitoring & processes, platform integration, single customer view, customer lifetime value.
  • Managing the reporting & dashboarding, running data models, managing the local database and increasing impact with the dedicated business efforts (funnel approach). (S)he will be closely involved in integrating the full data infrastructure.
  • Overseeing the development and use of technology, data systems, monitor and analyze information and technology systems, and ensure that data systems and technology meet company standards for accuracy and compliance.

Main Accountabilities

Data Analysis & Insighting
  • Creating insights by executing & using sales figure interpretation models. Analysis is performed based on globally developed data models by data scientists. Also liaises with data scientists to optimize existing models.
  • Maintaining fully-profiled operators (FPO) and reporting status to CD Team to take action. Delivering qualified leads to CD Team.
  • Ensuring all leads are transferred to the system and are followed-up correctly and in due time.
  • Refining lead prioritization system (eOTM) to assess and lead scoring to estimate likelihood of purchase.
  • Assessing and recommending more effective persona segmentation model across the entire funnel.
  • Supporting campaign automation via Marketo by managing data flows from other platforms.
  • Developing and refining predictive analytics for applications like recommendation engines, food trend predictions, fall out account alerts.

Data Visualization & Reporting
  • Translating data into BI at the top and end of the funnel based on the grip-grab-grow model by delivering advice to CDLT, UFSLT and the Digital team. Focus on acquisition of new businesses and win-back of lost operators.
  • Delivering and managing the dashboards needed to visualize BI to the rest of the organisation.

Data Management
  • Owning the process to integrate all sales, marketing and digital data into the local data infrastructure.
  • Integrating CD IT infrastructure into the wider data infrastructure according to the business needs and the chosen strategy.
  • Harnessing the value of data through cleaning; organizing from all touchpoints.
  • Being the gatekeeper of data quality and integrity as required by the business.

Interface Management
  • Maintaining a strong network with all customer-facing roles in the country.
  • Maintaining relationships with Trade-partners to secure the flow of SSD into the systems.
  • Close coordination with Global Data team on data capture and ingestion of operator data. Collaborating with Global Data Team on defining the requirements for data capabilities, interfaces, tools, models and building capabilities as required.
  • Gatekeeping and management of the Local Data Area (Data Lake)/ Universal Data Lake (UDL) for the country.

Tech Management
  • Contributing to and implementing standards and changes to systems and processes.
  • Analyzing complex data systems (data elements, data flow, relationships, and dependencies).
  • Supporting enterprise-wide compliance with enterprise standards, processes, and policies.
  • Implementing and supporting approach to drive Technology Risk functions, including documented processes, risks, and controls, and providing reporting of status.
  • Documenting functional specifications, planning and scheduling projects, and leading a team of professionals through implementation.
  • Balancing projects that add immediate value with longer-term initiatives.
  • Recommending buy vs. build decisions or what needs to be outsourced.

Qualifications And Relevant Experience
  • Expert knowledge of SQL, Excel and general database skills.
  • Knowledge with statistical models/ tools.
  • Strong communication skills and capability to be data thought leader to convey crucial data easily.
  • Conversion and result-driven.
  • Knowledge of the content & structure of the database and end to end flow of tech/ systems.
  • Team player that can work cross-functional (with UFSLT, CD, Marketing, data technology teams, 3P supporting data, tools, Customer Service, etc).
  • Knowledge of handling sales figures.
  • Fluent English communication skills, verbal & written.
  • Influencing all necessary stakeholders to deploy all business requirements in line with the strategy.
  • Ability to create reporting which is accessible, usable and highly focused on delivering insights.
  • Ability to explain the data in a super simple way to stakeholders in the company & understand their business needs.
  • Able to analyse & collect business insights to teams so they can have a bigger impact with the limited resources available.
  • Knowledge of API integrations & setting up future-proof data infrastructures in line with the business strategy.
  • With a passion for learning and creating Adhoc materials for all channels.
  • Leadership skills to manage Data & Customer Service Excellence Team.
  • Excellent communication and stakeholder management skills.
  • Experience with Armstrong, LE, SAP, data lake and/or digital (CRM) tools.
  • Passion for data and customer service.
  • Experience with reporting (PowerBI), advanced Microsoft Excel, Microsoft Flow, others.

We highly encourage applicants to exclude information on age, gender, and school/s in view of Equity, Diversity, and Inclusion. Unilever assesses candidates based on skills, performance, experience and leadership.

Unilever is an organisation committed to equity, inclusion and diversity 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. At Unilever we are interested in every individual bringing their 'Whole Self' to work and this includes you Thus if you require any support or access requirements, we encourage you to advise us at the time of your application so that we can support you through your recruitment journey.
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