IT - Senior Manager - Consumer Analytics

Role Responsibilities

About Us:
Suntory Global Spirits is at the forefront of innovation, blending tradition with forward-thinking strategies to create exceptional experiences for our consumers. We are committed to leveraging data to drive strategic insights and consumer value across our global brands.

Role Overview:
We are seeking an IT Sr Manager for Consumer Data to define and execute a visionary strategy in consumer data analytics. This role is pivotal in shaping how we harness data to drive insights and deliver exceptional consumer experiences. The successful candidate will have a technical background in data engineering and visualization, with proficiency in Google Cloud Platform (GCP) and PowerBI. 
 

What makes this a great opportunity?

•    Define and execute a strategic vision for consumer data analytics that aligns with and supports the broader business objectives. This involves identifying opportunities to leverage consumer data for competitive advantage, fostering a data-driven culture within the organization, and ensuring that data initiatives are aligned with business goals to drive growth and innovation.
•    Develop a comprehensive understanding of consumer analytics, focusing on tools such as Customer Data Platforms (CDP), Customer Relationship Management (CRM) systems, and Digital Analytics Tools to enhance customer segmentation, engagement, and personalization strategies.
•    Collaborate closely with cross-functional teams to translate complex business needs into actionable data analytics strategies.
•    Drive continuous improvement in data processes and methodologies, fostering a culture of innovation and excellence.
•    Lead and mentor a team of data engineers and business intelligence professionals, ensuring alignment with technical and strategic goals.
•    Architect data solutions with a focus on scalability, efficiency, and innovation.
•    Maintain hands-on involvement in data engineering and visualization projects, ensuring high-quality deliverables.
•    Utilize predictive analytics to forecast consumer behavior, leveraging statistical methods and machine learning techniques.
•    Communicate effectively with technical teams, providing guidance and support in developing cutting-edge data solutions.
•    Stay abreast of industry trends and emerging technologies, integrating relevant advancements into the consumer data strategy.

Qualifications

Qualifications:
•    Strong strategic vision and ability to align data initiatives with business goals to drive growth and innovation.
•    Background in consumer analytics, particularly within the digital marketing domain.
•    Demonstrated ability to lead and inspire technical teams, fostering a collaborative and results-driven environment.
•    Proven experience in data engineering and visualization, with expertise in GCP and PowerBI.
•    Experience in data architecture, with a strong capability to design and implement robust data solutions.
•    Ability to translate complex business requirements into strategic data initiatives.
•    Strong and demonstrated experience in data warehousing concepts, proficiency in SQL and BigQuery, expertise in GCP services like Cloud Storage, Dataflow, and Cloud Composer, experience with ETL/ELT tools, scripting languages like Python
•    Strong problem-solving skills, with a hands-on approach to overcoming technical challenges.
•    Excellent communication skills, with the ability to articulate complex technical concepts to diverse audiences.

Experience:
•    Minimum of 7-10 years of experience in data analytics, with a particular focus on consumer analytics within the digital marketing space.
•    Proven track record of leading and managing technical teams to deliver innovative data solutions.
•    Extensive experience with data engineering and visualization tools, specifically GCP and PowerBI, with proficiency in similar platforms being advantageous.
•    Demonstrated experience in developing and executing strategic data initiatives that align with business objectives and drive measurable outcomes.
•    Strong background in data architecture, with experience in designing and implementing scalable data solutions.
•    Ability to communicate effectively across technical and non-technical teams, translating complex data concepts into actionable business strategies.