- This TPO will have a combo of data skills and business skills with great communication.
- Must have experience within Digital Marketing; they cannot educate on this; knowing about impressions, clicks, digital advertising, eCommerce, etc.
- Should be hands on with data; practical not theoretical.
- Query databases with SQL, Python, DBT (data base tool), Snowflake.
- Needs to be able to communicate to technical teams, business, teams across the Org and have leadership level communication skills.
- This is a "Lead" salary band which is 5-8 years of experience.
- Will be relying on this person to own the data domain and delegate to up to 10 engineers under them.
- Each TPO owns a data product. Defines roadmap for 15 data sets.
- Establish partnership with business owners. Understand requirements.
- User stories but can delegate some of that to engineers.
The Product Owner is leading Tech & Data initiatives aimed at growing business value and outcomes in the areas of Digital Media and Website Analytics! They will propose and implement integration rules, data acquisition & ingestion logic, business curation and drive analysis of multiple big datasets. IT Lead connects and influences Business, Data and Technology partners, data engineers & implementation teams to drive cohesive approach to development & adoption of data products and analytics solutions across Paid, Owned and Eared Media Channels technology stacks to drive businesses focused insights and analytics. You will have a direct impact on ROAS on Digital Media investments in North America and Globally, by enabling robust marketing at the Client as a Digital First company.
Responsibilities:
- Lead the Data Product team to propose and craft data integration, data operations processes and data engineering logic to implement solutions for Digital Media Analytics processes that improve business impact and adoption
- Partner with Business Stakeholders to identify and prioritize requirements and define Digital Marketing data strategy
- Be a player & coach to combine people leadership, strategic partnership and data hands-on activities
- IT Lead will run a team of 10-15 off-shore contractors, and is expected to write and run discovery-level SQL queries and API calls
- Identify and implement most appropriate combination of methodologies & tools within defined technology stack, to ensure efficient scalability, flexibility and performance of the data
- We are accountable for building Data as a Product, and ensure high data governance standards, including data completeness, harmonization, standardization, data quality, documentation, accessibility, usability and scalability
- Be a key player of the design & development team, working closely with other team members within the “lab” and “factory” construct
- Propose implementation of Ad Servers, Demand Side Platforms, Paid Search and Social Media and Web Analytics data sets to be combined and used to optimize Digital Marketing
- Be an SME and a key point of contact for Digital Analytics data and capabilities (Google Campaign Manager, Display&Video 360, Google Ads, Search Ads 360, Social Marketing, Amazon DSP, Google Analytics 360, GA4, etc.)
Qualifications
- Bachelor’s degree or higher is required
- A minimum of 5 years experience is required
- Ability to interpret data & make data driven decisions, understand & propose data ingestion, storage, integration and visualization logic for Digital Marketing Domain use cases is required
- Experience defining integration logic for data ingested from Digital Marketing sources (Google stack, Facebook, The Trade Desk, Amazon, Google Analytics, Adobe Analytics, etc.) to drive business insight is preferred
- Experience with Audience Management (GA360, DSP, DMP, CDP) is preferred
- Deep knowledge of Data Governance, Master Data Management, Data Harmonization, Data Cataloging, Data Architecture, Data Quality principles and methodologies is required
- Excellent Analytical and Critical thinking skills are required
- Ability to make decisions in the environment of high ambiguity
- Collaboration and ability to partner within multifunctional team, on high-complexity projects is required
- Experience working with tools & platforms within GCP, Azure, AWS and Modern Dat Platform stack (Snowflake, dbt, Fivetran, Airflow) is preferred
- Excellent proven knowledge of SQL is required
- Solid grasp of Python preferred not required