Madison Logic

Senior Manager, Data Engineering

Reads like a Data Leadership role: running a data team.

Pune, Maharashtra, India

Open 4 months, first seen by us 121 days ago

Pay: Pay not listed
Work setting: Working pattern needs review — work setting source
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:
Read the full posting
Employment: Not stated

What you’ll work on

Full posting

Own and drive the data products and analytics roadmap
Lead, grow, and retain a team of data engineers and analysts
Build foundational business dashboards and train users on BI tools
Present data strategy and key findings to executives
Enforce data governance, security, lineage, and engineering practices

From the employer’s posting

Own and drive our data products and analytics roadmap.

Lead, grow, and retain an expanded team of data engineers and analysts

creating a foundational set of business dashboards, training users on BI tools

Present data strategy and key findings to executives and other departments.

Enforce advanced data governance, security, lineage, and engineering practices.

Apply at Madison Logic

Posting record

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Open 4 monthsWe first saw this posting 121 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records: Live
First seen by us: Jul 15, 2026121 days ago
Recorded sightings: 54
Last seen by us: Nov 13, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 121

Up longer than most. Similar jobs usually come down between day 8 and day 57.

From 9,462 similar postings that came down. Coming down is not always a hire.

Madison Logic is hiring

2 open jobs

No new data jobs since July

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
R
AWS
Azure
GCP
Hadoop
Snowflake
Spark
PyTorch
scikit-learn
TensorFlow

Where the posting names them

- 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)

- 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

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Demand for Data Leadership roles

New Data Leadership postings at the employers we follow are about the same over the last 6 weeks compared with the 6 before.

August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025: $175,140
Expected change, 2025 to 2035: 15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original 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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