MarTech & Data Analytics Manager

MarTech & Data Analytics Manager

JustMarkets is looking for an experienced MarTech & Data Analytics Manager to join our Marketing team and lead the development of our marketing technology, analytics, and operational infrastructure across CFD and Crypto business lines.

In this role, you will oversee three key areas: Marketing Operations, Marketing Analytics, and MarTech/AI Automation. You will be responsible for building a unified marketing analytics ecosystem, improving data accuracy, scaling marketing technologies, and automating operational processes.

You will lead multiple teams through their Team Leads, work closely with cross-functional stakeholders, and drive improvements in marketing efficiency, attribution, and budget control.

Responsibilities

• Lead and develop three functional areas: Marketing Operations, Marketing Analytics, and MarTech/AI Automation
• Manage Team Leads, establish clear goals and OKRs, and ensure effective team performance
• Develop and implement the strategy for marketing technology, analytics, and operational processes across CFD and Crypto
• Oversee the development and integration of CRM, CDP, MMP, and analytics platforms
• Build and maintain a unified marketing analytics and attribution framework across acquisition channels
• Ensure accurate marketing data collection, tracking, reporting, and attribution
• Oversee key marketing metrics, including CAC, LTV, ROI, and acquisition channel performance
• Improve and standardize marketing campaign launches, promotional activities, landing pages, and tracking processes
• Take ownership of marketing budget control, reporting, and reconciliation processes with Finance
• Drive the implementation of AI tools and marketing process automation
• Ensure effective collaboration between Marketing, Product, Engineering, BI, Finance, and Compliance teams
• Develop scalable workflows and reduce manual operational tasks

Requirements

• 5+ years of management experience in MarTech, Marketing Analytics, or Marketing Operations
• Experience working in a large, mature digital company with complex marketing infrastructure
• Proven experience managing multiple marketing teams through Team Leads, including at least 2 Team Leads with 2 or more employees in each team
• Strong practical experience specifically in marketing analytics and marketing technology
• Deep understanding of MarTech infrastructure, CRM, and CDP platforms such as Segment, RudderStack, Tealium, Braze, Customer.io, Insider, and MoEngage
• Practical experience with SQL, BigQuery, and Snowflake
• Experience with BI tools such as Looker, Tableau, or Power BI and analytics platforms such as Mixpanel, Amplitude, or GA4
• Strong understanding of marketing attribution, S2S tracking, Conversion APIs, and MMP solutions such as AppsFlyer, Adjust, and Singular
• Experience building and optimizing marketing processes, campaign workflows, budget tracking, and financial reporting
• Understanding of AI automation, API integrations, and tools such as Make and Zapier
• Strong leadership, strategic thinking, communication, and cross-functional collaboration skills
• Upper-Intermediate English (B2) or higher

Will be a plus

• Experience working in FinTech, CFD Brokerage, Crypto, or Web3
• Practical Python coding skills

We offer

• Opportunity to lead three key areas within the global Marketing department
• Direct involvement in developing and scaling the company's MarTech and analytics infrastructure
• Opportunity to build and develop teams and implement new processes
• Work with CFD and Crypto business lines
• Opportunity to implement AI, automation, and advanced analytics solutions
• Strategic influence on marketing technology and analytics development
• 20 paid vacation days per year
• 10 paid sick leave days per year
• Public holidays as per the company's approved Public Holiday list
• Medical insurance
• Opportunity to work remotely
• Professional education budget
• Language learning budget
• Wellness budget (gym membership, sports gear, and related expenses)

Role mission

To build, scale, and lead the engine room of our global marketing department. Your mission is to architect an enterprise-grade MarTech infrastructure, a modern data analytics ecosystem, and streamlined operational workflows across our CFD and Crypto business lines. By leading teams in Marketing Ops, Analytics, CRM, and AI Automation, you will transform raw data into actionable growth insights, eliminate operational bottlenecks, ensure strict financial and campaign discipline, and automate key processes to maximize global marketing efficiency and ROI.

Requirements hard skills

Senior Leadership & Domain Experience: 5+ years of progressive leadership experience in MarTech, Marketing Analytics, or Marketing Operations within Fintech, CFD brokerages, Crypto platforms, or high-volume digital ecosystems.

MarTech Infrastructure & CDP/CRM Architecture: Deep expertise in architecting integrated customer data platforms (Segment, RudderStack, Tealium) and enterprise lifecycle systems (Braze, Customer.io, Insider, MoEngage) using event-driven data flows, REST APIs, and Webhooks.

Advanced Analytics & Data Warehousing: Strong command of SQL, data warehouse environments (BigQuery, Snowflake), BI visualization platforms (Looker, Tableau, Power BI), and behavioral analytics tools (Mixpanel, Amplitude, GA4).

Attribution & Mobile Measurement (MMP): Expertise in multi-touch attribution (MTA) modelling, server-to-server (S2S) tracking, conversion APIs (Meta CAPI, Google SS-GTM), and Mobile Measurement Partners (AppsFlyer, Adjust, Singular).

Marketing FinOps & Operations Governance: Proven experience designing campaign workflow frameworks, tracking taxonomies, budget allocation protocols, and automated marketing budget reconciliation with central Finance/Accounting teams.

AI & Workflow Automation Systems: Strategic and technical literacy in leveraging AI capabilities (LLM APIs, custom agents, low-code automation tools like Make/Zapier, Python scripts) to streamline marketing execution and reporting pipelines.

Requirements soft skills

Strategic & Systems Thinking: Ability to see the complete macro picture—understanding how data pipelines, MarTech stack tools, and operational workflows interconnect to directly drive business ROI and user retention.

Executive Leadership & "Lead of Leads" Management: Proven ability to manage, empower, and mentor mid-level managers (L4 leads). You delegate effectively, set clear OKRs, and build an autonomous, highly accountable team culture without micromanaging.

Executive Communication & Business Translation: Exceptional capability to translate complex technical architectures, data models, and attribution challenges into clear, actionable insights for C-suite and non-technical marketing stakeholders.

Operational & Governance Rigor: A relentless commitment to quality control, process discipline, and SLA compliance. You have a low tolerance for unmonitored workflows, data discrepancies, or manual operational workarounds.

Commercial Pragmatism & Speed Balance: Understanding when to insist on scalable enterprise-grade solutions vs. when to execute quick, pragmatic operational wins to capture immediate market opportunities in fast-moving CFD and Crypto verticals.

Cross-Functional Diplomacy & Alignment: Highly skilled at navigating priorities across conflicting departments—acting as a trusted partner and mediator between Marketing, Engineering, BI, Product, and Finance.

Responsibilities

Strategic Leadership & Sub-Department Governance
L4 Team Leadership: Lead, mentor, and empower three L4 Team Leads (Marketing Ops, Marketing Analytics, and MarTech/CRM/AI Automation), fostering a culture of accountability, operational efficiency, and continuous learning.

Departmental Roadmap & Resource Planning: Translate executive marketing strategies into scalable technology, analytics, and operational roadmaps; manage resource allocation across both CFD and Crypto verticals.
Cross-Functional Alignment: Serve as the strategic bridge between Marketing, Product/Trading Engineering, Central BI, Finance, and Compliance to align data taxonomy, campaign workflows, and budget tracking.

MarTech & CRM Infrastructure Architecture
Stack Architecture & Integration: Oversee the evaluation, selection, and enterprise integration of CDP, CRM, MMP, and behavioral analytics platforms across web, mobile, and trading terminals.
Data Flow & Event Engineering: Partner with engineering teams to define and maintain reliable event-driven data architectures (JSON payloads, Webhooks, S2S CAPI), ensuring real-time data sync between trading systems and marketing engines.

Lifecycle Automation Oversight: Guide the CRM team in building sophisticated, multi-channel automated workflows (Email, Push, In-App, WhatsApp) for onboarding, retention, and reactivation.

Data Analytics, Attribution & Reporting
Single Source of Truth: Direct the Marketing Analytics team in building and maintaining unified, cross-channel attribution models, delivering precise CAC, LTV, and ROI metrics across all acquisition channels.

Data Governance & Integrity: Standardize global tracking frameworks, UTM taxonomies, and naming conventions to ensure 100% data consistency between marketing platforms and executive BI dashboards.

Advanced & Predictive Insights: Drive cohort analysis, churn prediction modeling, and campaign performance evaluations to optimize acquisition spend and maximize client lifetime value.

Marketing Operations, Promo Execution & FinOps

Campaign & Promo Delivery SLAs: Establish bulletproof SLA frameworks and Jira intake protocols across Marketing Ops, ensuring flaw-free, on-time delivery of promos, landing pages, and campaign setups for both CFD and Crypto business lines.

Financial Control & Budget Reconciliation: Direct the Marketing FinOps function to implement real-time spend tracking, vendor invoice verification, and monthly budget reconciliations with central Finance.
Quality Assurance & Risk Mitigation: Implement rigorous QA standards for tracking parameters, promo mechanics, and compliance disclosures before campaigns go live.
AI & Workflow Automation Enablement
Automation Culture: Drive the adoption of AI-powered workflows, low-code tools (e.g., Make, Zapier), and custom Python/API integrations to automate repetitive operational tasks.
Intelligent Operations: Oversee the deployment of automated reporting, anomaly detection alerts (e.g., drop in tracking events or conversion rates), and AI-driven content generation pipelines across the department.