
Director - Product Strategy (Global Media Agency)
at Global Media Agency - a client of Merito
Job Description
Our client is a leading data product and technology firm that makes advertising work better for people.
- Lead the Data Solutions function and be the POC for all Agency Digital and Data leads to liaise on client requirements, and ensure the appropriate solutions are rolled out.
- General agency pitch support for data as needed but more proactively creating consulting frameworks around client 1st PD data architecture, guidance, and recommendation around CDPs implementation, vs DMP, Mar-tech stack
- Establish working relationship and SOP for implementation delivery for Mar-Tech projects
- Contribute to team projects as the executive sponsor for client data initiatives
- Provide end-user training across our proprietary technology stack
- Own the setup elements such as first party data, tag integration (tag management systems, custom data integrations, CRM connections, etc.), custom data partner integration development.
- Work with data partners to integrate their data sets into insights (Onboarding & Testing Data Sets)
- Manage the Mar-tech partners, working on JBPs to achieve shared goals of client enablement
- Collect & distribute local product feature requests to global/regional teams
- Work closely with the global and regional product team to test and rollout new features, special with the cookieless future of audience planning tools
Requirements
- 10+ years of experience in Technology Consulting role within Adtech/Martech
- Bachelor’s or master’s degree in a relevant field (Data, Technology, IT, Marketing)
- Certifications (or advanced knowledge) in DMP, CDP, Mar-tech & digital analytics platforms
- A strong understanding of all digital marketing channels
- Familiar with advanced analytics and data management concepts
- Proven ability to build and grow relationships with key stakeholders
- Excellent written and verbal communication skills.
- Flexibility to work in a cross-functional team but also have the initiative to problem-solve independently.
- Highly organised with demonstrated project management capabilities

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Key Responsibilities:
- Identify potential clients and business opportunities through market research, networking, and cold calling.
- Develop and maintain relationships with key decision-makers in target businesses.
- Present and demonstrate product offerings to potential clients.
- Negotiate contract terms and pricing with clients.
- Close sales deals and meet or exceed sales targets.
- Work closely with the marketing team to develop sales collaterals and promotional materials.
- Provide after-sales support to ensure client satisfaction.
- Gather market and customer information to provide feedback on buying trends.
- Maintain accurate records of sales, revenue, invoices, and other important data.
- Create detailed proposal documents and deliver presentations.
Requirements:
- Bachelor's degree in Business, Marketing, or a related field.
- Proven experience in B2B sales, preferably in the [industry].
- Strong negotiation and communication skills.
- Ability to build and maintain relationships with clients.
- Self-motivated and target-driven with a proven track record in sales.
- Proficiency in CRM software and Microsoft Office Suite.
- Ability to work independently and as part of a team.
- Willingness to travel as needed.
A Bachelor’s degree in data science, statistics, computer science, or a similar field
2+ years industry experience working in a data science role, such as statistics, machine learning,
deep learning, quantitative financial analysis, data engineering or natural language processing
Domain experience in Financial Services (banking, insurance, risk, funds) is preferred
Have and experience and be involved in producing and rapidly delivering minimum viable products,
results focused with ability to prioritize the most impactful deliverables
Strong Applied Statistics capabilities. Including excellent understanding of Machine Learning
techniques and algorithms
Hands on experience preferable in implementing scalable Machine Learning solutions using Python /
Scala / Java on Azure, AWS or Google cloud platform
Experience with storage frameworks like Hadoop, Spark, Kafka etc
Experience in building &deploying unsupervised, semi-supervised, and supervised models and be
knowledgeable in various ML algorithms such as regression models, Tree-based algorithms,
ensemble learning techniques, distance-based ML algorithms etc
Ability to track down complex data quality and data integration issues, evaluate different algorithmic
approaches, and analyse data to solve problems.
Experience in implementing parallel processing and in-memory frameworks such as H2O.ai
- Serves customers by providing product and service information and resolving product and service problems.
- Attracts potential customers by answering product and service questions and suggesting information about other products and services.
- Opens customer accounts by recording account information.
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Skills Required
- Customer service
- Product knowledge
- Market knowledge
- Quality focus
- Problem-solving
- Documentation skills
- Phone skills
- Listening
- Resolving conflict
- Analyzing information
- Multi-tasking
- communication
- Fluent English
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Benefits
1. 6 months of probation period.
2. Working Days: Monday-Friday (As per International Standards).
3. Working Timings: 9 hours per day including break of 1 hour
4. Opportunities to learn and grow.
Minimum qualifications:
- Bachelor’s degree
Responsibilities:
- Assess go-to-market readiness, identify gaps in preparedness, and build plans to perform annual goals successfully.
- Work with teams to identify, qualify, and prioritize coverage for business opportunities. Participate in opportunity review meetings to provide insight into how to secure the technical win best.
- Maintain customer satisfaction.
- Resolve product problems affecting customer satisfaction.
- Build trust with customers and influential relationships.
Location: Pune








