Job Details
Description of the Role: Senior Manager - Solution Development is responsible for leading the partnership with Tech / Media & Ent /Telecom Global customers This role primarily involves ideating, designing, building, and strategizing the go-to-market strategy for industry solutions in Analytics/ DS/ DE spaces An ideal candidate will have a combination of domain/ business & technical expertise Finally, this role will also be responsible for partnering closely with the Customer Success teams to meet the needs of growing account base, and the needs of stakeholders in those accounts Preferred Skills for this role:- 1.
Client Partnership: At least +10 years' experience working with stakeholders for one or multiple Fortune 500 clients Proven ability to build credibility as a trusted advisor with key client stakeholders 2 Creativity, domain, technical SME: At least +10 years' experience leading solution development for industry clients Must have solution execution/ build capabilities, preferably while leading teams.
Must have hands-on experience in the Analytics/ Data Science/ Data Engineering domains Hands-on experience/ knowledge of various tech-stacks a big plus Ability to collaborate across teams and geographies, and rally Practice SMEs across Tredence Work with Tredence' innovation/ dev ops teams in building MVP/MVE/ Prototype solutions; get them to be GTM ready Strategic thinking to navigate complex deals (as need be) and successfully roadmap multi-year horizons for industry clients.
3 Leadership: Demonstrated leadership within or outside a work setting You should be someone who frequently takes initiative and is eager to break new ground Build and lead global teams to engage with clients to identify opportunities for leveraging decision sciences and analytics Strong background in coaching & developing future talent Strong interpersonal and team management skills Strong Emotional Intelligence.
4 Industry Expertise: At least +7 years' experience in either Technology/ Media & Entertainment/ Telecom industries Proven ability to understand a TMT client's industry domain and context to develop points of view and thought leadership 5 Domain Expertise: Minimum of 10 years' experience in the analytics, machine learning, information technology or consulting space.
Competency and interest in data sciences and data engineering Understanding of major analytical technologies such as Python, Azure, GCP, AWS, Databricks, Snowflake 6 Other Requirements: Flexibility to travel as needed