Associate Director

Responsibilities

Enterprise Data Strategy: Design, define and maintain a holistic data strategy &

roadmap that aligns with corporate objectives and fuels digital transformation.

Ensure data architecture and products aligns with enterprise standards and best

practices.

Data Governance & Quality: Establish scalable governance frameworks to

ensure data accuracy, privacy, security, and compliance (e.g., GDPR, CCPA).

Oversee quality, security and compliance initiatives

Data Architecture & Platforms: Oversee modern data infrastructure (e.g., data

lakes, warehouses, streaming) with technologies like Snowflake, Databricks,

AWS, and Kafka.

Marketing Technology Integration: Ensure data architecture supports marketing

technologies and commercial analytics platforms (e.g., CDP, MMM, ProfitSphere)

tailored to the CPG/FMCG industry.

Architectural Leadership: Act as a hands-on architect with the ability to lead

through influence. Guide design decisions aligned with industry best practices

and e.l.f.'s evolving architecture roadmap.

Cross-Functional Collaboration: Partner with Marketing, Supply Chain, Finance,

R&D, and IT to embed data-driven practices and deliver business impact. Lead

integration of data from multiple sources to unified data warehouse.

Cloud Optimization : Optimize data flows, storage for performance and

scalability. Lead data migration priorities, manage metadata repositories an

data dictionaries. Optimise databases and pipelines for efficiency. Manage and

track quality, cataloging and observability

AI/ML Enablement: Drive initiatives to operationalize predictive analytics,

personalization, demand forecasting, and more using AI/ML models. Evaluate

emerging data technologies and tools to improve data architecture.

Team Leadership: Lead, mentor, and enable high-performing team of data

engineers, analysts, and partners through influence and thought leadership.

Vendor & Tooling Strategy: Manage relationships with external partners and

drive evaluations of data and analytics tools.

Executive Reporting: Provide regular updates and strategic recommendations to

executive leadership and key stakeholders.

Data Enablement : Design data models, database structures, and data

integration solutions to support large volumes of data.

Requirements

Bachelor's or Master's degree in Computer Science, Information Systems, or a

related field

18+ years of experience in Information Technology

8+ years of experience in data architecture, data engineering, or a related field,

with a focus on large-scale, distributed systems.

Strong understanding of data use cases in the CPG/FMCG sector. Experience

with tools such as MMM (Marketing Mix Modeling), CDPs, ProfitSphere, or inventory

analytics preferred.

Awareness of architecture frameworks like TOGAF. Certifications are not

mandatory, but candidates must demonstrate clear thinking and experience in applying

architecture principles.

Must possess excellent communication skills and a proven ability to work cross-

functionally across global teams. Should be capable of leading with influence, not just

execution.

Knowledge of data warehousing, ETL/ELT processes, and data modeling

Deep understanding of data modeling principles, including schema design and

dimensional data modeling.

Strong SQL development experience including SQL Queries and stored

procedures

Ability to architect and develop scalable data solutions, staying ahead of industry

trends and integrating best practices in data engineering.

Familiarity with data security and governance best practices

Experience with cloud computing platforms such as Snowflake, AWS, Azure, or

GCP

Excellent problem-solving abilities with a focus on data analysis and

interpretation.

Strong communication and collaboration skills.

Ability to translate complex technical concepts into actionable business

strategies.

Proficiency in one or more programming languages such as Python, Java, or

Scala