About the Company:

Sigmoid enables business transformation using data and analytics, leveraging real-time insights to make accurate and fast business decisions, by building modern data architectures using cloud and open source. Some of the world’s largest data producers engage with Sigmoid to solve complex business problems. Sigmoid brings deep expertise in data engineering, predictive analytics, artificial intelligence, and DataOps. Sigmoid has been recognized as one of the fastest growing technology companies in North America, 2021 by Financial Times, Inc. 5000, and Deloitte Technology Fast 500.

Offices: New York | Dallas | San Francisco | Lima | Bengaluru

The role below is for our Bengaluru office.

 

Why Join Sigmoid?

 

Sigmoid provides the opportunity to push the boundaries of what is possible by seamlessly combining technical expertise and creativity to tackle intrinsically complex business problems and convert them into straightforward data solutions. Despite being continuously challenged, you are not alone. You will be part of a fast-paced, diverse environment as a member of a high-performing team that works together to energize and inspire each other by challenging the status quo. Vibrant, inclusive culture of mutual respect and fun through both work and play.

 

Sr. Management Consultant/Engagement Manager, Marketing – Business Consulting & Solutions Group (BC&S, India)

 

Roles and Responsibilities:

• Perform a role that combines hands-on contribution, client engagement, and team management across multiple parallel initiatives.
• Own and drive execution of the business analytics roadmap for key CPG / Consumer clients by demonstrating strong techno-functional consulting and stakeholder management, in close collaboration with data science and engineering teams.
• Independently liaise with senior client stakeholders (including CxO / functional leaders), convincingly present solution approaches, and constructively question or challenge the client where required
• Define business problems concisely, synthesize findings, hypothesize solution options, and measure and articulate how solutions improve client objectives (revenue, cost, working capital, service, risk)
• Lead and execute offering developments around the Integrated marketing data & analytics strategy to drive strategic marketing actions, enhanced customer engagement, and personalized consumer experiences
• Lead solutioning and presales for your accounts, shaping problem statements, approaches, SoWs, proposals, and demo storylines.
• Manage cross-functional teams (DE, DS, BI) for high-quality delivery: planning sprints, tracking progress, and proactively managing risks and dependencies.

 

 

 

 

 

 

Mandated Profile:

• Bachelor’s Degree (BE / BTech – preferably in Engineering / CS / related quantitative disciplines) from Tier I / II universities (e.g., IITs / NITs); MBA from top-tier B-schools (IIMs or equivalent) preferred.
• 7+ years of experience in the domains of marketing, digital marketing, and e-commerce.
• 5+ Demonstrated expertise in omnichannel marketing and analytics, including digital display, online video, premium OLV, CTV, paid search, social media, and website marketing, along with experience in managing loyalty programs, strong familiarity with digital targeting, activation, trafficking, and measurement.
• Hands-on experience with key marketing and analytics tools such as Adobe Analytics, Salesforce Marketing Cloud, Google Analytics (GA4), Amazon Advertising Console, Meta Ads Manager, Google Ads, DSPs (e.g., DV360, The Trade Desk), and campaign management platforms.
• Direct or supporting experience in performance marketing, media planning, and media & digital strategy.
• Proven exceptional problem-solving and analytical skills, with the ability to blend creativity and structured logic to think through complex problems and develop practical solutions.
• Ability to develop and articulate strategic recommendations based on rigorous data analysis and clear linkage to business value.

Desired Profile:

• Applicants with significant exposure to implementing data and analytics solutions for large CPG, consumer durables, retail, fashion/lifestyle, or e-commerce clients, either directly working within the business or consulting, Big-4, or digital practice, are strongly preferred.
• Understanding of applications of statistical and machine learning algorithms
• Any hands-on experience with analytical tools

 

Applicants having an active B1/B2 (US Visa) will be a plus.