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Open nowPosted 255 days ago

Sr. Manager, Data Engineering

Madison Logic12 open roles

Where
Pune, Maharashtra, India
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Your applicationOpen nowSr. Manager, Data EngineeringMadison Logic · Pune, Maharashtra, India

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Madison Logic's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

7.8% of postings close within 7 days. Measured by our own scanner across the market. Madison Logic postings stay open a median of 12 days.

Share of postings closed within
  1. 1.7%1 day
  2. 3.5%3 days
  3. 7.8%7 days
  4. 14.6%14 days
  5. 34.1%30 days
This job: posted 255 days ago

Madison Logic median: 12 days open

The posting

Our Blueprint (Company Overview)

At Madison Logic, we turn buyer uncertainty into confident action. Using data-driven insights and strategic expertise, we help marketers align every decision-maker, in every buying group, at every stage of the journey. We meet buyers wherever they are, navigating today’s non-linear decision paths to keep marketers ahead. By combining data-rich strategy with multi-channel activation, we show B2B marketers and their agency partners not just what works, but why it works, so growth is accelerated with clarity and purpose.

“When ambitious marketers connect with their most elusive buyers to achieve ambitious growth targets, something extraordinary happens.”

“It’s not magic. It’s not just logic. It’s Madison Logic.”

Built for Belonging (Why You'll Love Working Here)

Here’s why you’ll love working here:

  • Access to competitive compensation & benefits that reward your contributions.
  • Participation in employee recognition programs to celebrate achievements big and small.
  • Exposure to professional development & learning initiatives to help you build your own path.
  • Foundation built on values anchored in Accountability, Team, Urgency, Respect, Integrity, and Innovation.
  • Opportunities for global exposure work alongside talented colleagues across India, Singapore, the UK, and the US, expanding your perspective and network.
  • Invitations to yearly team offsites to connect, collaborate, and strengthen relationships in person.
  • Leverage a lifestyle spending account benefit so you can choose your own wellness and work-from-home perks. Benefits and perks vary based on employment status, location, and eligibility.

Our commitment to you:

  • Our aspiration: A culture where every person feels confident navigating their unique path and inspired to grow every step of the way.
  • Our support: Meeting you where you are, empowering your growth with clarity, support, and purpose.
  • Our promise: Your growth is yours to lead, but never a journey you take alone.

Driven to Deliver (What You’ll Do)

  • Own and drive our data products and analytics roadmap. Responsible for developing and implementing our data strategy, working cross-functionally with leaders across the business to identify and deliver analytics that drive business results.
  • Drive the organization towards treating data as a product. Enable the rest of the organization by creating a foundational set of business dashboards, training users on BI tools, and ensuring data is well structured, clearly defined, and accessible.
  • Lead, grow, and retain an expanded team of data engineers and analysts as part of the broader technology organization.
  • Advocate new data sources, tools, and design paradigms.
  • Work closely with marketing, product, and the executive team to rollout and launch data products.
  • Present data strategy and key findings to executives and other departments.
  • Enforce advanced data governance, security, lineage, and engineering practices.
  • Collaborate with engineering groups on data and machine learning systems for automation and data enrichment capabilities.
  • Keep pace with the latest developments in academia, regulatory environment, risk modeling methods, and the advertising/marketing industry in order to provide expert guidance to the business functions.

Equipped to Excel (Qualifications)

  • On-site working at the ML physical office, 5-days per week required
  • University Degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field
  • 5-8 years of experience in Data Engineering, with at least 3 years in a leadership or management role
  • Proven expertise in machine learning, statistical modeling, and advanced analytics techniques
  • Strong programming skills in Python, R, or similar languages, and experience with data science frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
  • Experience with big data technologies (e.g., Hadoop, Spark, Snowflake) and cloud platforms (e.g., AWS, GCP, Azure)
  • Demonstrated ability to lead and manage high-performing technical teams
  • Excellent communication skills, with the ability to translate complex technical concepts to nontechnical stakeholders

Distinct by Design (What Sets You Apart)

  • Strategic thinker with a passion for leveraging data to solve complex business problems
  • Collaborative and inclusive leadership style, with a focus on mentoring and developing talent
  • Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively
  • Strong business acumen and understanding of how data science impacts organizational goals
  • Proactive and innovative, with a commitment to staying ahead of industry trends and technologies

Your Next Chapter

If you’re excited about helping clients succeed, love the idea of working at the forefront of marketing innovation, and want to be part of a team where integrity, respect, innovation, urgency, and accountability aren’t just words — they’re how we show up every day — then let’s talk.

Work Environment:

We offer a mix of remote and hybrid working. Remote work arrangements are not available for all positions. Hybrid work is required for employees local to our offices. Where applicable, hybrid WFH days work must be conducted from your home office located in a jurisdiction in which Madison Logic has the legal right to operate. WFH requires availability and responsiveness on a full-time basis from a distraction free environment with access to high-speed internet. Please inquire for more details.

Pay Transparency/Equity:

We are committed to paying our team equitably for their work, commensurate with their individual skills and experience. Salary Range and additional compensation, including discretionary bonuses and incentive pay, are determined by a rigorous review process taking into account the experience, education, certifications and skills required for the specific role, equity with similarly situated team members, as well as employer-verified region-specific market data provided by an independent 3rd party partner.

We will provide more information about our perks & benefits upon request.

Our Commitment to Diversity & Inclusion:

Madison Logic is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of sex, race, color, religion, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status.

Privacy Disclosure:

All of the information collected in this form and/or by your application by submission of your online profile is necessary and relevant to the performance of the job applied for. We will process the information provided by you in this form, your CV (including physical and online resume profiles), by the referees you have noted, and by the educational institutions with whom we may undertake to verify your qualifications with, in accordance with our privacy policy and for recruitment purposes only.

For more information on how we process the information you have provided including relevant lawful bases (where relevant) please see our privacy policy which is available on our website (https://www.madisonlogic.com/privacy/).

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