Data Science Manager

About Annalect

As every CMO knows, employing technology, data and analytics to business challenges is the cost of entry, not a nice to have. Unlocking the value of consumer data can deliver growth, revenue, and ROI, and create differentiation to stay on top. Realtime action is instrumental in driving results within a highly fragmented marketplace.

Annalect is the data and technology division of Omnicom. We provide a variety of services to our clients and media agency partners. As a company, we serve as the foundational data and technology layer through which analytics and insights can be accessed through a single lens. Our main goal is to advance the advertising and marketing strategies of our clients with applications that unlock insights and drive business results.

Annalect is a global data, technology, and analytics consultancy with a strong footprint in the APAC region, with offices in Bangalore, Gurgaon, Hong Kong, Kuala Lumpur, Melbourne, Singapore, and Sydney. We create solutions across data, measurement, analytics, visualisation, and marketing technology to maximise the effectiveness of media and our clients media ROI.

Annalect's unique approach is one that relies on transparency, neutrality, and interoperability allows us to deliver purpose built and scalable solutions that make data actionable. We have teams of analysts, data scientists, consultants, and technical experts to help us meet the business goals of our agency partners and clients.

Join our dynamic and diverse team at Annalect - data solutions for marketers, by marketers.

About the Role

This is not a backoffice analytics role. As Marketing Science Manager, you sit at the intersection of data science, marketing strategy, and intelligent automation - translating complex, multiplatform data into decisions that move business. You will own the analytical and modelling engine that powers our clients marketing investments, while actively shaping how we build, automate, and scale those capabilities across the organisation.

You will work directly with analysts and consultants in Data Science, as well as client and agency teams, to communicate your findings and build strategies around them. You will also train and develop our Advanced Analytics Practice by adapting global best practices and innovative solutions for Malaysia across three key functions - Visualisation, Advanced Analytics, and Marketing Science.

If you are energised by building things that did not exist before, challenged by ambiguity, and fluent in both technical skills and boardroom conversations - this role was designed for you.

What You Will Do

Automation & Intelligent Workflow Design

1. Lead a team to design and deploy automated data pipelines and reporting workflows using tools such as Microsoft Power BI, Power Automate, Power Automate Unattended Mode, RPA platforms, and virtual machines.
2. Identify manual, repetitive analytical processes across the organisation and systematically eliminate them through workflow automation and scripted solutions.
3. Build scalable, reusable model templates and automation frameworks that reduce time to insight without sacrificing rigour.
4. Explore and pilot emerging automation and AI tooling to keep the team at the leading edge of operational efficiency.

Marketing Science & Business Intelligence

1. Develop and maintain dashboards using Datorama, Power BI, Looker Studio, Tableau, Excel Power Query, and other tools.
2. Lead the BI strategy - design and maintain business intelligence applications and processes; champion alignment of BI measures in driving performance objectives.
3. Perform assessments on reporting requirements and develop longterm strategy for various reporting, dashboard, and selfserve solutions; continuously develop and implement plans for improving business intelligence.
4. Provide support and maintenance of dashboards to ensure availability and performance; work with Data Governance teams to build data checks that constantly improve data integrity and accuracy.
5. Design and implement automated QA processes to ensure data accuracy and timeliness.
6. Work closely with media teams on set clients to develop timely visualisations of campaign and business performance.
7. Assess quality of data through various techniques; communicate data insights and outliers through impactful data visualisation and storytelling.

Strategy, Storytelling & Stakeholder Influence

1. Own the narrative - translate outputs into clear, commercially grounded recommendations that resonate with both technical peers and Csuite stakeholders.
2. Lead presentations, project management, and strategic planning sessions with confidence and authority.
3. Develop and maintain positive relationships with key stakeholders internally and externally.
4. Partner with client strategy, media planning, and product teams to embed data science thinking into upstream decision making.
5. Serve as an internal thought leader - share points of view, champion best practices, and raise the analytical bar across the organisation.

Innovation & Solution Creation

1. Audit workflows to identify bottlenecks and inefficiencies across internal and client facing processes.
2. Design and deploy solutions leveraging existing AI tools, Power Platform, and automation frameworks before building from scratch.
3. Pilot emerging technologies rapidly - scale what works, cut what does not.
4. Package highvalue internal solutions into repeatable frameworks or commercialisable client offerings.
5. Own innovation endtoend with a founder's mindset - from problem identification through to deployment and value realisation.

Team & Project Leadership

1. Manage and mentor a team of analysts and data scientists, fostering a culture of intellectual rigour, proactiveness, and continuous learning.
2. Lead, train, and develop the Advanced Analytics Practice, including Visualisation developers, when necessary.
3. Own project timelines, resource planning, and delivery quality across concurrent workstreams.
4. Define and enforce modelling standards, documentation practices, and QA protocols that make outputs reliable and reproducible.

What You Bring

Qualifications & Experience

• Degree in Data Science, Statistics, Mathematics, Economics, or Engineering related field.
• 3 to 5 years of overall relevant experience, with 1–2 years at an integrated agency, marketing analytics firm, or consulting firm preferred.
• Handson experience building and deploying data visualisation dashboards using tools such as Datorama, Power BI, Looker Studio, or Tableau.
• Strong programming proficiency in Python, R, and/or SQL - you may not need to write code daily, but you need to be able to utilise and optimise it.
• Demonstrated experience with workflow automation tools - Power Automate, RPA platforms, or scripted automation via virtual machines and cloud environments.
• Proven ability to communicate complex analytical findings to nontechnical audiences with clarity and conviction.
• Experience leading or mentoring junior team members and managing multistakeholder projects.
• Demonstrated ability to leverage AI tools and techniques to enhance work, including applications in data analysis, modelling, automation, insight generation, and the development of custom agents (e.g. MCP agents).

Strong Advantage

• Knowledge and experience in customer segmentation — including behavioural, demographic, and value-based segmentation models that inform targeting and personalisation strategies.
• Familiarity with CRM database management — including data structure, audience lifecycle management, and integration with media activation or analytics platforms.
• Familiar with advertising channels and platforms: Facebook, Google Ads, DV360, and others.
• Familiarity with at least some of the following: marketing technology (e.g. Data Management Platforms), adserving (e.g. Google CM360), web analytics (e.g. Google Analytics, Adobe Analytics), social (e.g. Facebook Insights).
• Handson exposure to media industry dynamics - digital media, programmatic, media planning and buying, or agency side analytics.
• Familiarity with marketing analytics platforms such as Google Analytics, Adobe Analytics, or Supermetrics.
• Experience with big data platforms and cloud environments (GCP, AWS, Azure).
• Working knowledge of Google Meridian, Robyn, or equivalent opensource MMM frameworks.
• Solid grounding in machine learning, statistical modelling, and predictive analytics.
• Exposure to clean room environments, ADH, or privacysafe measurement approaches.
• Project management experience.

Who You Are

• You think in systems - you see the model, the workflow, and the business outcome simultaneously.
• You automate what can be automated, so human effort goes where it matters most.
• You hold yourself and your team to high standards without creating a culture of fear.
• You are genuinely curious - about data, about the business, about what the numbers are not yet telling you.
• You see ambiguity as a design space, not an obstacle.
• You have a proven track record in developing solid relationships with clients.

We believe the best marketing science happens when technical depth meets business empathy. If that describes how you work, we want to meet you.