Job description
an expert martech lead with a deep expertise in sophisticated marketing technology solutions, specializing in the integration and management of advanced platforms to drive customer insights, automate processes, and enhance cross-channel campaign performance. Proven ability to leverage cutting-edge tools, data science, and ai to innovate and optimize marketing strategies.
key skills and platforms:
* advanced martech platforms:
o customer data platforms (cdp): tealium audiencestream, salesforce cdp, mparticle
o data management platforms (dmp): lotame, neustar, adobe audience manager (specialized use)
o demand-side platforms (dsp): appnexus, xandr, index exchange
o content & personalization engines: optimizely, adobe target, monetate, dynamic yield
o marketing orchestration & automation: sap customer data cloud, sas customer intelligence, salesforce marketing cloud
o identity resolution & data unification: liveramp, the trade desk unified id, uid 2.0
* data & analytics technologies:
o programming & data handling: python (with pandas, numpy, scikit-learn), r, sql (advanced querying, data pipeline automation)
o data lakes & warehouses: databricks, snowflake, google bigquery, azure synapse analytics
o business intelligence & visualization: power bi (advanced modeling), tableau, looker
o data integration & etl: talend, informatica, azure data factory, fivetran
* campaign & media activation:
o programmatic platforms: the trade desk, dv360 (display & video 360), spotx, mediamath
o ad servers & dynamic creative: celtra, google studio, sizmek
o media optimization & attribution: visual iq, nielsen attribution, attribution app
* measurement & analytics tools:
o web & app analytics: google analytics 4, adobe analytics 360, heap analytics
o heatmaps & user interaction: hotjar, crazy egg, fullstory
o media performance & audience insights: nielsen dcr, comscore, britepool
* cloud & infrastructure:
o cloud platforms: microsoft azure (data factory, machine learning), aws (s3, glue, sagemaker), google cloud
o ai & machine learning: google cloud ai, azure machine learning, datarobot,
o ai for creative development: adobe sensei, runway ml, lumen5
* other technologies & integration:
o apis & data integration: graphql, rest apis, custom sdks
o identity & privacy technologies: uid 2.0, decentralized identifiers (dids), consent management platforms (onetrust, trustarc)
about gm
our vision is a world with zero crashes, zero emissions and zero congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
why join us
we believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one general motors team.
non-discrimination and equal employment opportunities
general motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
we encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit how we hire.
accommodations
general motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at in your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.